Files
hermes-agent/tools/skill_manager_tool.py
Teknium 97acd66b4c fix(curator): authoritative absorbed_into on delete + restore cron skill links on rollback (#18671) (#18731)
* fix(curator): authoritative absorbed_into declarations on skill delete

Closes #18671. The classification pipeline that feeds cron-ref rewriting
used to infer consolidation vs pruning from two brittle signals: the
curator model's post-hoc YAML summary block, and a substring heuristic
scanning other tool calls for the removed skill's name. Both miss in
real consolidations — the model forgets the YAML under reasoning
pressure, and the heuristic misses when the umbrella's patch content
describes the absorbed behavior abstractly instead of naming the old
slug. When both miss, the skill falls through to 'no-evidence fallback'
pruned, and #18253's cron rewriter drops the cron ref entirely instead
of mapping it to the umbrella. Same observable symptom as pre-#18253:
'Skill(s) not found and skipped' at the next cron run.

The fix makes the model declare intent at the moment of deletion.
skill_manage(action='delete') now accepts absorbed_into:
  - absorbed_into='<umbrella>'  -> consolidated, target must exist on disk
  - absorbed_into=''            -> explicit prune, no forwarding target
  - missing                     -> legacy path, falls through to heuristic/YAML

The curator reconciler reads these declarations off llm_meta.tool_calls
BEFORE either the YAML block or the substring heuristic. Declaration
wins. Fallback logic stays intact for backward compat with any caller
(human or older curator conversation) that doesn't populate the arg.

Changes
- tools/skill_manager_tool.py: add absorbed_into param to skill_manage
  + _delete_skill. Validate target exists when non-empty. Reject
  absorbed_into=<self>. Wire through dispatcher + registry + schema.
- agent/curator.py: new _extract_absorbed_into_declarations() walks
  tool calls for skill_manage(delete) with the arg. _reconcile_classification
  accepts absorbed_declarations= and treats them as authoritative. Curator
  prompt updated to require the arg on every delete.
- Tests: 7 new skill_manager tests covering the tool contract (valid
  target, empty string, nonexistent target, self-reference, whitespace,
  backward compat, dispatcher plumbing). 11 new curator tests covering
  the extractor + authoritative reconciler path + mixed-legacy-and-
  declared runs.

Validation
- 307/307 targeted tests pass (curator + cron + skill_manager suites).
- E2E #18671 repro: 3 narrow skills, 1 umbrella, cron job referencing
  all 3. Model emits NO YAML block. Heuristic misses (patch prose
  doesn't name old slugs). Delete calls carry absorbed_into. Result:
  both PR skills correctly classified 'consolidated' + cron rewritten
  ['pr-review-format', 'pr-review-checklist', 'stale-junk'] ->
  ['hermes-agent-dev']; stale-junk pruned via absorbed_into=''.
- E2E backward-compat: delete without absorbed_into, model emits YAML
  -> routed via existing 'model' source, cron still rewritten correctly.

* feat(curator): capture + restore cron skill links across snapshot/rollback

Before this, rolling back a curator run restored the skills tree but cron
jobs still pointed at the umbrella skills the curator had rewritten them
to. The user would see their old narrow skills back on disk but their
cron jobs still configured with the merged umbrella — not actually 'back
to how it was'.

Snapshot side: snapshot_skills() now captures ~/.hermes/cron/jobs.json
alongside the skills tarball, as cron-jobs.json. The manifest gets a new
'cron_jobs' block with {backed_up, jobs_count} so rollback (and the CLI
confirm dialog) can surface what's in the snapshot. If jobs.json is
missing/unreadable/malformed, snapshot proceeds without cron data — the
skills backup is the core guarantee; cron is additive.

Rollback side: after the skills extract succeeds, the new
_restore_cron_skill_links() reconciles the backed-up jobs into the live
jobs.json SURGICALLY. Only 'skills' and 'skill' fields are restored, and
only on jobs matched by id. Everything else about a cron job — schedule,
last_run_at, next_run_at, enabled, prompt, workdir, hooks — is live
state the user or scheduler has modified since the snapshot; overwriting
it would regress unrelated activity.

Reconciliation rules:
- Job in backup AND live, skills differ  → skills restored.
- Job in backup AND live, skills match   → no-op.
- Job in backup, NOT in live             → skipped (user deleted it
                                              after snapshot; their choice
                                              is later than the snapshot).
- Job in live, NOT in backup             → untouched (user created it
                                              after snapshot).
- Snapshot missing cron-jobs.json at all → rollback still succeeds,
                                              reports 'not captured'
                                              (older pre-feature snapshots
                                              keep working).

Writes go through cron.jobs.save_jobs under the same _jobs_file_lock the
scheduler uses, so rollback doesn't race tick().

Also:
- hermes_cli/curator.py: rollback confirm dialog now shows
  'cron jobs: N (will be restored for skill-link fields only)' when the
  snapshot has cron data, or 'not in snapshot (<reason>)' otherwise.
- rollback()'s message string includes a 'cron links: ...' clause
  summarizing the reconciliation outcome.

Tests
- 9 new cases: snapshot-with-cron, snapshot-without-cron, malformed-json
  captured-as-raw, full rollback-restores-skills-and-cron, rollback
  touches only skill fields, rollback skips user-deleted jobs, rollback
  leaves user-created jobs untouched, rollback still works with
  pre-feature snapshot that has no cron-jobs.json, standalone unit test
  on _restore_cron_skill_links exercising the full report shape.

Validation
- 484/484 targeted tests pass (curator + cron + skill_manager suites).
- E2E: real snapshot_skills, real cron rewrite, real rollback. Before:
  ['pr-review-format', 'pr-review-checklist', 'pr-triage-salvage'].
  After curator: ['hermes-agent-dev']. After rollback: ['pr-review-format',
  'pr-review-checklist', 'pr-triage-salvage']. Non-skill fields (id,
  name, prompt) preserved across the round trip.
2026-05-02 01:29:57 -07:00

938 lines
34 KiB
Python

#!/usr/bin/env python3
"""
Skill Manager Tool -- Agent-Managed Skill Creation & Editing
Allows the agent to create, update, and delete skills, turning successful
approaches into reusable procedural knowledge. New skills are created in
~/.hermes/skills/. Existing skills (bundled, hub-installed, or user-created)
can be modified or deleted wherever they live.
Skills are the agent's procedural memory: they capture *how to do a specific
type of task* based on proven experience. General memory (MEMORY.md, USER.md) is
broad and declarative. Skills are narrow and actionable.
Actions:
create -- Create a new skill (SKILL.md + directory structure)
edit -- Replace the SKILL.md content of a user skill (full rewrite)
patch -- Targeted find-and-replace within SKILL.md or any supporting file
delete -- Remove a user skill entirely
write_file -- Add/overwrite a supporting file (reference, template, script, asset)
remove_file-- Remove a supporting file from a user skill
Directory layout for user skills:
~/.hermes/skills/
├── my-skill/
│ ├── SKILL.md
│ ├── references/
│ ├── templates/
│ ├── scripts/
│ └── assets/
└── category-name/
└── another-skill/
└── SKILL.md
"""
import json
import logging
import os
import re
import shutil
import tempfile
from pathlib import Path
from hermes_constants import get_hermes_home, display_hermes_home
from typing import Dict, Any, Optional, Tuple
from utils import atomic_replace, is_truthy_value
from hermes_cli.config import cfg_get
logger = logging.getLogger(__name__)
# Import security scanner — external hub installs always get scanned;
# agent-created skills only get scanned when skills.guard_agent_created is on.
try:
from tools.skills_guard import scan_skill, should_allow_install, format_scan_report
_GUARD_AVAILABLE = True
except ImportError:
_GUARD_AVAILABLE = False
def _guard_agent_created_enabled() -> bool:
"""Read skills.guard_agent_created from config (default False).
Off by default because the agent can already execute the same code
paths via terminal() with no gate, so the scan adds friction without
meaningful security. Users who want belt-and-suspenders can turn it
on via `hermes config set skills.guard_agent_created true`.
"""
try:
from hermes_cli.config import load_config
cfg = load_config()
return is_truthy_value(
cfg_get(cfg, "skills", "guard_agent_created"),
default=False,
)
except Exception:
return False
def _security_scan_skill(skill_dir: Path) -> Optional[str]:
"""Scan a skill directory after write. Returns error string if blocked, else None.
No-op when skills.guard_agent_created is disabled (the default).
"""
if not _GUARD_AVAILABLE:
return None
if not _guard_agent_created_enabled():
return None
try:
result = scan_skill(skill_dir, source="agent-created")
allowed, reason = should_allow_install(result)
if allowed is False:
report = format_scan_report(result)
return f"Security scan blocked this skill ({reason}):\n{report}"
if allowed is None:
# "ask" verdict — for agent-created skills this means dangerous
# findings were detected. Surface as an error so the agent can
# retry with the flagged content removed.
report = format_scan_report(result)
logger.warning("Agent-created skill blocked (dangerous findings): %s", reason)
return f"Security scan blocked this skill ({reason}):\n{report}"
except Exception as e:
logger.warning("Security scan failed for %s: %s", skill_dir, e, exc_info=True)
return None
import yaml
# All skills live in ~/.hermes/skills/ (single source of truth)
HERMES_HOME = get_hermes_home()
SKILLS_DIR = HERMES_HOME / "skills"
MAX_NAME_LENGTH = 64
MAX_DESCRIPTION_LENGTH = 1024
def _containing_skills_root(skill_path: Path) -> Path:
"""Return the skills root directory (local or external_dirs entry) that
contains ``skill_path``. Falls back to the local ``SKILLS_DIR`` if no
match is found (defensive — callers should have located the skill via
``_find_skill`` first).
"""
from agent.skill_utils import get_all_skills_dirs
try:
resolved = skill_path.resolve()
except OSError:
resolved = skill_path
for root in get_all_skills_dirs():
try:
resolved.relative_to(root.resolve())
return root
except (ValueError, OSError):
continue
return SKILLS_DIR
def _pinned_guard(name: str) -> Optional[str]:
"""Return a refusal message if *name* is pinned, else None.
Pinned skills are off-limits to the agent's skill_manage tool. The only
way to modify one is for the user to unpin it via
``hermes curator unpin <name>`` (or edit it directly by hand). This
mirrors the curator's own pinned-skip behavior but extends the guard
to tool-driven writes as well, giving users a hard fence against
accidental agent edits.
Best-effort: if the sidecar is unreadable we let the write through
rather than block on a broken telemetry file.
"""
try:
from tools import skill_usage
rec = skill_usage.get_record(name)
if rec.get("pinned"):
return (
f"Skill '{name}' is pinned and cannot be modified by "
f"skill_manage. Ask the user to run "
f"`hermes curator unpin {name}` if they want the change."
)
except Exception:
logger.debug("pinned-guard lookup failed for %s", name, exc_info=True)
return None
MAX_SKILL_CONTENT_CHARS = 100_000 # ~36k tokens at 2.75 chars/token
MAX_SKILL_FILE_BYTES = 1_048_576 # 1 MiB per supporting file
# Characters allowed in skill names (filesystem-safe, URL-friendly)
VALID_NAME_RE = re.compile(r'^[a-z0-9][a-z0-9._-]*$')
# Subdirectories allowed for write_file/remove_file
ALLOWED_SUBDIRS = {"references", "templates", "scripts", "assets"}
# =============================================================================
# Validation helpers
# =============================================================================
def _validate_name(name: str) -> Optional[str]:
"""Validate a skill name. Returns error message or None if valid."""
if not name:
return "Skill name is required."
if len(name) > MAX_NAME_LENGTH:
return f"Skill name exceeds {MAX_NAME_LENGTH} characters."
if not VALID_NAME_RE.match(name):
return (
f"Invalid skill name '{name}'. Use lowercase letters, numbers, "
f"hyphens, dots, and underscores. Must start with a letter or digit."
)
return None
def _validate_category(category: Optional[str]) -> Optional[str]:
"""Validate an optional category name used as a single directory segment."""
if category is None:
return None
if not isinstance(category, str):
return "Category must be a string."
category = category.strip()
if not category:
return None
if "/" in category or "\\" in category:
return (
f"Invalid category '{category}'. Use lowercase letters, numbers, "
"hyphens, dots, and underscores. Categories must be a single directory name."
)
if len(category) > MAX_NAME_LENGTH:
return f"Category exceeds {MAX_NAME_LENGTH} characters."
if not VALID_NAME_RE.match(category):
return (
f"Invalid category '{category}'. Use lowercase letters, numbers, "
"hyphens, dots, and underscores. Categories must be a single directory name."
)
return None
def _validate_frontmatter(content: str) -> Optional[str]:
"""
Validate that SKILL.md content has proper frontmatter with required fields.
Returns error message or None if valid.
"""
if not content.strip():
return "Content cannot be empty."
if not content.startswith("---"):
return "SKILL.md must start with YAML frontmatter (---). See existing skills for format."
end_match = re.search(r'\n---\s*\n', content[3:])
if not end_match:
return "SKILL.md frontmatter is not closed. Ensure you have a closing '---' line."
yaml_content = content[3:end_match.start() + 3]
try:
parsed = yaml.safe_load(yaml_content)
except yaml.YAMLError as e:
return f"YAML frontmatter parse error: {e}"
if not isinstance(parsed, dict):
return "Frontmatter must be a YAML mapping (key: value pairs)."
if "name" not in parsed:
return "Frontmatter must include 'name' field."
if "description" not in parsed:
return "Frontmatter must include 'description' field."
if len(str(parsed["description"])) > MAX_DESCRIPTION_LENGTH:
return f"Description exceeds {MAX_DESCRIPTION_LENGTH} characters."
body = content[end_match.end() + 3:].strip()
if not body:
return "SKILL.md must have content after the frontmatter (instructions, procedures, etc.)."
return None
def _validate_content_size(content: str, label: str = "SKILL.md") -> Optional[str]:
"""Check that content doesn't exceed the character limit for agent writes.
Returns an error message or None if within bounds.
"""
if len(content) > MAX_SKILL_CONTENT_CHARS:
return (
f"{label} content is {len(content):,} characters "
f"(limit: {MAX_SKILL_CONTENT_CHARS:,}). "
f"Consider splitting into a smaller SKILL.md with supporting files "
f"in references/ or templates/."
)
return None
def _resolve_skill_dir(name: str, category: str = None) -> Path:
"""Build the directory path for a new skill, optionally under a category."""
if category:
return SKILLS_DIR / category / name
return SKILLS_DIR / name
def _find_skill(name: str) -> Optional[Dict[str, Any]]:
"""
Find a skill by name across all skill directories.
Searches the local skills dir (~/.hermes/skills/) first, then any
external dirs configured via skills.external_dirs. Returns
{"path": Path} or None.
"""
from agent.skill_utils import get_all_skills_dirs
for skills_dir in get_all_skills_dirs():
if not skills_dir.exists():
continue
for skill_md in skills_dir.rglob("SKILL.md"):
if skill_md.parent.name == name:
return {"path": skill_md.parent}
return None
def _validate_file_path(file_path: str) -> Optional[str]:
"""
Validate a file path for write_file/remove_file.
Must be under an allowed subdirectory and not escape the skill dir.
"""
from tools.path_security import has_traversal_component
if not file_path:
return "file_path is required."
normalized = Path(file_path)
# Prevent path traversal
if has_traversal_component(file_path):
return "Path traversal ('..') is not allowed."
# Must be under an allowed subdirectory
if not normalized.parts or normalized.parts[0] not in ALLOWED_SUBDIRS:
allowed = ", ".join(sorted(ALLOWED_SUBDIRS))
return f"File must be under one of: {allowed}. Got: '{file_path}'"
# Must have a filename (not just a directory)
if len(normalized.parts) < 2:
return f"Provide a file path, not just a directory. Example: '{normalized.parts[0]}/myfile.md'"
return None
def _resolve_skill_target(skill_dir: Path, file_path: str) -> Tuple[Optional[Path], Optional[str]]:
"""Resolve a supporting-file path and ensure it stays within the skill directory."""
from tools.path_security import validate_within_dir
target = skill_dir / file_path
error = validate_within_dir(target, skill_dir)
if error:
return None, error
return target, None
def _atomic_write_text(file_path: Path, content: str, encoding: str = "utf-8") -> None:
"""
Atomically write text content to a file.
Uses a temporary file in the same directory and os.replace() to ensure
the target file is never left in a partially-written state if the process
crashes or is interrupted.
Args:
file_path: Target file path
content: Content to write
encoding: Text encoding (default: utf-8)
"""
file_path.parent.mkdir(parents=True, exist_ok=True)
fd, temp_path = tempfile.mkstemp(
dir=str(file_path.parent),
prefix=f".{file_path.name}.tmp.",
suffix="",
)
try:
with os.fdopen(fd, "w", encoding=encoding) as f:
f.write(content)
atomic_replace(temp_path, file_path)
except Exception:
# Clean up temp file on error
try:
os.unlink(temp_path)
except OSError:
logger.error("Failed to remove temporary file %s during atomic write", temp_path, exc_info=True)
raise
# =============================================================================
# Core actions
# =============================================================================
def _create_skill(name: str, content: str, category: str = None) -> Dict[str, Any]:
"""Create a new user skill with SKILL.md content."""
# Validate name
err = _validate_name(name)
if err:
return {"success": False, "error": err}
err = _validate_category(category)
if err:
return {"success": False, "error": err}
# Validate content
err = _validate_frontmatter(content)
if err:
return {"success": False, "error": err}
err = _validate_content_size(content)
if err:
return {"success": False, "error": err}
# Check for name collisions across all directories
existing = _find_skill(name)
if existing:
return {
"success": False,
"error": f"A skill named '{name}' already exists at {existing['path']}."
}
# Create the skill directory
skill_dir = _resolve_skill_dir(name, category)
skill_dir.mkdir(parents=True, exist_ok=True)
# Write SKILL.md atomically
skill_md = skill_dir / "SKILL.md"
_atomic_write_text(skill_md, content)
# Security scan — roll back on block
scan_error = _security_scan_skill(skill_dir)
if scan_error:
shutil.rmtree(skill_dir, ignore_errors=True)
return {"success": False, "error": scan_error}
result = {
"success": True,
"message": f"Skill '{name}' created.",
"path": str(skill_dir.relative_to(SKILLS_DIR)),
"skill_md": str(skill_md),
}
if category:
result["category"] = category
result["hint"] = (
"To add reference files, templates, or scripts, use "
"skill_manage(action='write_file', name='{}', file_path='references/example.md', file_content='...')".format(name)
)
return result
def _edit_skill(name: str, content: str) -> Dict[str, Any]:
"""Replace the SKILL.md of any existing skill (full rewrite)."""
err = _validate_frontmatter(content)
if err:
return {"success": False, "error": err}
err = _validate_content_size(content)
if err:
return {"success": False, "error": err}
existing = _find_skill(name)
if not existing:
return {"success": False, "error": f"Skill '{name}' not found. Use skills_list() to see available skills."}
pinned_err = _pinned_guard(name)
if pinned_err:
return {"success": False, "error": pinned_err}
skill_md = existing["path"] / "SKILL.md"
# Back up original content for rollback
original_content = skill_md.read_text(encoding="utf-8") if skill_md.exists() else None
_atomic_write_text(skill_md, content)
# Security scan — roll back on block
scan_error = _security_scan_skill(existing["path"])
if scan_error:
if original_content is not None:
_atomic_write_text(skill_md, original_content)
return {"success": False, "error": scan_error}
return {
"success": True,
"message": f"Skill '{name}' updated.",
"path": str(existing["path"]),
}
def _patch_skill(
name: str,
old_string: str,
new_string: str,
file_path: str = None,
replace_all: bool = False,
) -> Dict[str, Any]:
"""Targeted find-and-replace within a skill file.
Defaults to SKILL.md. Use file_path to patch a supporting file instead.
Requires a unique match unless replace_all is True.
"""
if not old_string:
return {"success": False, "error": "old_string is required for 'patch'."}
if new_string is None:
return {"success": False, "error": "new_string is required for 'patch'. Use an empty string to delete matched text."}
existing = _find_skill(name)
if not existing:
return {"success": False, "error": f"Skill '{name}' not found."}
pinned_err = _pinned_guard(name)
if pinned_err:
return {"success": False, "error": pinned_err}
skill_dir = existing["path"]
if file_path:
# Patching a supporting file
err = _validate_file_path(file_path)
if err:
return {"success": False, "error": err}
target, err = _resolve_skill_target(skill_dir, file_path)
if err:
return {"success": False, "error": err}
else:
# Patching SKILL.md
target = skill_dir / "SKILL.md"
if not target.exists():
return {"success": False, "error": f"File not found: {target.relative_to(skill_dir)}"}
content = target.read_text(encoding="utf-8")
# Use the same fuzzy matching engine as the file patch tool.
# This handles whitespace normalization, indentation differences,
# escape sequences, and block-anchor matching — saving the agent
# from exact-match failures on minor formatting mismatches.
from tools.fuzzy_match import fuzzy_find_and_replace
new_content, match_count, _strategy, match_error = fuzzy_find_and_replace(
content, old_string, new_string, replace_all
)
if match_error:
# Show a short preview of the file so the model can self-correct
preview = content[:500] + ("..." if len(content) > 500 else "")
err_msg = match_error
try:
from tools.fuzzy_match import format_no_match_hint
err_msg += format_no_match_hint(match_error, match_count, old_string, content)
except Exception:
pass
return {
"success": False,
"error": err_msg,
"file_preview": preview,
}
# Check size limit on the result
target_label = "SKILL.md" if not file_path else file_path
err = _validate_content_size(new_content, label=target_label)
if err:
return {"success": False, "error": err}
# If patching SKILL.md, validate frontmatter is still intact
if not file_path:
err = _validate_frontmatter(new_content)
if err:
return {
"success": False,
"error": f"Patch would break SKILL.md structure: {err}",
}
original_content = content # for rollback
_atomic_write_text(target, new_content)
# Security scan — roll back on block
scan_error = _security_scan_skill(skill_dir)
if scan_error:
_atomic_write_text(target, original_content)
return {"success": False, "error": scan_error}
return {
"success": True,
"message": f"Patched {'SKILL.md' if not file_path else file_path} in skill '{name}' ({match_count} replacement{'s' if match_count > 1 else ''}).",
}
def _delete_skill(name: str, absorbed_into: Optional[str] = None) -> Dict[str, Any]:
"""Delete a skill.
``absorbed_into`` declares intent:
- ``None`` / missing → caller didn't declare (legacy / non-curator path);
accepted for backward compat but logs a warning because the curator
classification pipeline can't tell consolidation from pruning without it.
- ``""`` (empty) → explicit "truly pruned, no forwarding target".
- ``"<skill-name>"`` → content was absorbed into that umbrella; the
target must exist on disk. Validated here so the model can't claim an
umbrella that doesn't exist.
"""
existing = _find_skill(name)
if not existing:
return {"success": False, "error": f"Skill '{name}' not found."}
pinned_err = _pinned_guard(name)
if pinned_err:
return {"success": False, "error": pinned_err}
# Validate absorbed_into target when declared non-empty
if absorbed_into is not None and isinstance(absorbed_into, str) and absorbed_into.strip():
target_name = absorbed_into.strip()
if target_name == name:
return {
"success": False,
"error": f"absorbed_into='{target_name}' cannot equal the skill being deleted.",
}
target = _find_skill(target_name)
if not target:
return {
"success": False,
"error": (
f"absorbed_into='{target_name}' does not exist. "
f"Create or patch the umbrella skill first, then retry the delete."
),
}
skill_dir = existing["path"]
skills_root = _containing_skills_root(skill_dir)
shutil.rmtree(skill_dir)
# Clean up empty category directories (don't remove the skills root itself)
parent = skill_dir.parent
if parent != skills_root and parent.exists() and not any(parent.iterdir()):
parent.rmdir()
message = f"Skill '{name}' deleted."
if absorbed_into is not None and isinstance(absorbed_into, str) and absorbed_into.strip():
message += f" Content absorbed into '{absorbed_into.strip()}'."
return {
"success": True,
"message": message,
}
def _write_file(name: str, file_path: str, file_content: str) -> Dict[str, Any]:
"""Add or overwrite a supporting file within any skill directory."""
err = _validate_file_path(file_path)
if err:
return {"success": False, "error": err}
if not file_content and file_content != "":
return {"success": False, "error": "file_content is required."}
# Check size limits
content_bytes = len(file_content.encode("utf-8"))
if content_bytes > MAX_SKILL_FILE_BYTES:
return {
"success": False,
"error": (
f"File content is {content_bytes:,} bytes "
f"(limit: {MAX_SKILL_FILE_BYTES:,} bytes / 1 MiB). "
f"Consider splitting into smaller files."
),
}
err = _validate_content_size(file_content, label=file_path)
if err:
return {"success": False, "error": err}
existing = _find_skill(name)
if not existing:
return {"success": False, "error": f"Skill '{name}' not found. Create it first with action='create'."}
pinned_err = _pinned_guard(name)
if pinned_err:
return {"success": False, "error": pinned_err}
target, err = _resolve_skill_target(existing["path"], file_path)
if err:
return {"success": False, "error": err}
target.parent.mkdir(parents=True, exist_ok=True)
# Back up for rollback
original_content = target.read_text(encoding="utf-8") if target.exists() else None
_atomic_write_text(target, file_content)
# Security scan — roll back on block
scan_error = _security_scan_skill(existing["path"])
if scan_error:
if original_content is not None:
_atomic_write_text(target, original_content)
else:
target.unlink(missing_ok=True)
return {"success": False, "error": scan_error}
return {
"success": True,
"message": f"File '{file_path}' written to skill '{name}'.",
"path": str(target),
}
def _remove_file(name: str, file_path: str) -> Dict[str, Any]:
"""Remove a supporting file from any skill directory."""
err = _validate_file_path(file_path)
if err:
return {"success": False, "error": err}
existing = _find_skill(name)
if not existing:
return {"success": False, "error": f"Skill '{name}' not found."}
pinned_err = _pinned_guard(name)
if pinned_err:
return {"success": False, "error": pinned_err}
skill_dir = existing["path"]
target, err = _resolve_skill_target(skill_dir, file_path)
if err:
return {"success": False, "error": err}
if not target.exists():
# List what's actually there for the model to see
available = []
for subdir in ALLOWED_SUBDIRS:
d = skill_dir / subdir
if d.exists():
for f in d.rglob("*"):
if f.is_file():
available.append(str(f.relative_to(skill_dir)))
return {
"success": False,
"error": f"File '{file_path}' not found in skill '{name}'.",
"available_files": available if available else None,
}
target.unlink()
# Clean up empty subdirectories
parent = target.parent
if parent != skill_dir and parent.exists() and not any(parent.iterdir()):
parent.rmdir()
return {
"success": True,
"message": f"File '{file_path}' removed from skill '{name}'.",
}
# =============================================================================
# Main entry point
# =============================================================================
def skill_manage(
action: str,
name: str,
content: str = None,
category: str = None,
file_path: str = None,
file_content: str = None,
old_string: str = None,
new_string: str = None,
replace_all: bool = False,
absorbed_into: str = None,
) -> str:
"""
Manage user-created skills. Dispatches to the appropriate action handler.
Returns JSON string with results.
"""
if action == "create":
if not content:
return tool_error("content is required for 'create'. Provide the full SKILL.md text (frontmatter + body).", success=False)
result = _create_skill(name, content, category)
elif action == "edit":
if not content:
return tool_error("content is required for 'edit'. Provide the full updated SKILL.md text.", success=False)
result = _edit_skill(name, content)
elif action == "patch":
if not old_string:
return tool_error("old_string is required for 'patch'. Provide the text to find.", success=False)
if new_string is None:
return tool_error("new_string is required for 'patch'. Use empty string to delete matched text.", success=False)
result = _patch_skill(name, old_string, new_string, file_path, replace_all)
elif action == "delete":
result = _delete_skill(name, absorbed_into=absorbed_into)
elif action == "write_file":
if not file_path:
return tool_error("file_path is required for 'write_file'. Example: 'references/api-guide.md'", success=False)
if file_content is None:
return tool_error("file_content is required for 'write_file'.", success=False)
result = _write_file(name, file_path, file_content)
elif action == "remove_file":
if not file_path:
return tool_error("file_path is required for 'remove_file'.", success=False)
result = _remove_file(name, file_path)
else:
result = {"success": False, "error": f"Unknown action '{action}'. Use: create, edit, patch, delete, write_file, remove_file"}
if result.get("success"):
try:
from agent.prompt_builder import clear_skills_system_prompt_cache
clear_skills_system_prompt_cache(clear_snapshot=True)
except Exception:
pass
# Curator telemetry: bump patch_count on edit/patch/write_file (the actions
# that mutate an existing skill's guidance), drop the record on delete.
# Best-effort; telemetry failures never break the tool.
try:
from tools.skill_usage import bump_patch, forget
if action in ("patch", "edit", "write_file", "remove_file"):
bump_patch(name)
elif action == "delete":
forget(name)
except Exception:
pass
return json.dumps(result, ensure_ascii=False)
# =============================================================================
# OpenAI Function-Calling Schema
# =============================================================================
SKILL_MANAGE_SCHEMA = {
"name": "skill_manage",
"description": (
"Manage skills (create, update, delete). Skills are your procedural "
"memory — reusable approaches for recurring task types. "
f"New skills go to {display_hermes_home()}/skills/; existing skills can be modified wherever they live.\n\n"
"Actions: create (full SKILL.md + optional category), "
"patch (old_string/new_string — preferred for fixes), "
"edit (full SKILL.md rewrite — major overhauls only), "
"delete, write_file, remove_file.\n\n"
"On delete, pass `absorbed_into=<umbrella>` when you're merging this "
"skill's content into another one, or `absorbed_into=\"\"` when you're "
"pruning it with no forwarding target. This lets the curator tell "
"consolidation from pruning without guessing, so downstream consumers "
"(cron jobs that reference the old skill name, etc.) get updated "
"correctly. The target you name in `absorbed_into` must already "
"exist — create/patch the umbrella first, then delete.\n\n"
"Create when: complex task succeeded (5+ calls), errors overcome, "
"user-corrected approach worked, non-trivial workflow discovered, "
"or user asks you to remember a procedure.\n"
"Update when: instructions stale/wrong, OS-specific failures, "
"missing steps or pitfalls found during use. "
"If you used a skill and hit issues not covered by it, patch it immediately.\n\n"
"After difficult/iterative tasks, offer to save as a skill. "
"Skip for simple one-offs. Confirm with user before creating/deleting.\n\n"
"Good skills: trigger conditions, numbered steps with exact commands, "
"pitfalls section, verification steps. Use skill_view() to see format examples.\n\n"
"Pinned skills are off-limits — all write actions refuse with a message "
"pointing the user to `hermes curator unpin <name>`. Don't try to route "
"around this by renaming or recreating."
),
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": ["create", "patch", "edit", "delete", "write_file", "remove_file"],
"description": "The action to perform."
},
"name": {
"type": "string",
"description": (
"Skill name (lowercase, hyphens/underscores, max 64 chars). "
"Must match an existing skill for patch/edit/delete/write_file/remove_file."
)
},
"content": {
"type": "string",
"description": (
"Full SKILL.md content (YAML frontmatter + markdown body). "
"Required for 'create' and 'edit'. For 'edit', read the skill "
"first with skill_view() and provide the complete updated text."
)
},
"old_string": {
"type": "string",
"description": (
"Text to find in the file (required for 'patch'). Must be unique "
"unless replace_all=true. Include enough surrounding context to "
"ensure uniqueness."
)
},
"new_string": {
"type": "string",
"description": (
"Replacement text (required for 'patch'). Can be empty string "
"to delete the matched text."
)
},
"replace_all": {
"type": "boolean",
"description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)."
},
"category": {
"type": "string",
"description": (
"Optional category/domain for organizing the skill (e.g., 'devops', "
"'data-science', 'mlops'). Creates a subdirectory grouping. "
"Only used with 'create'."
)
},
"file_path": {
"type": "string",
"description": (
"Path to a supporting file within the skill directory. "
"For 'write_file'/'remove_file': required, must be under references/, "
"templates/, scripts/, or assets/. "
"For 'patch': optional, defaults to SKILL.md if omitted."
)
},
"file_content": {
"type": "string",
"description": "Content for the file. Required for 'write_file'."
},
"absorbed_into": {
"type": "string",
"description": (
"For 'delete' only — declares intent so the curator can "
"tell consolidation from pruning without guessing. "
"Pass the umbrella skill name when this skill's content "
"was merged into another (the target must already exist). "
"Pass an empty string when the skill is truly stale and "
"being pruned with no forwarding target. Omitting the arg "
"on delete is supported for backward compatibility but "
"downstream tooling (e.g. cron-job skill reference "
"rewriting) will have to guess at intent."
)
},
},
"required": ["action", "name"],
},
}
# --- Registry ---
from tools.registry import registry, tool_error
registry.register(
name="skill_manage",
toolset="skills",
schema=SKILL_MANAGE_SCHEMA,
handler=lambda args, **kw: skill_manage(
action=args.get("action", ""),
name=args.get("name", ""),
content=args.get("content"),
category=args.get("category"),
file_path=args.get("file_path"),
file_content=args.get("file_content"),
old_string=args.get("old_string"),
new_string=args.get("new_string"),
replace_all=args.get("replace_all", False),
absorbed_into=args.get("absorbed_into")),
emoji="📝",
)