Skill Audit

galmuri:skill-audit — SKILL.md SSL auditor

Prerequisites

• scripts/preflight.sh passes (jq, bash, bats).
• Python 3 with PyYAML for frontmatter parsing.
• Read access to the target path.

Step 1: Ingest

Receive a target path; if missing, ask: "What should I audit? e.g. skills/distill/SKILL.md (single) or skills/ (batch)."

audit ./skills/distill/SKILL.md   # single-mode
audit ./skills                    # batch-mode → globs skills/*/SKILL.md (+ *.ko.md if present), each processed independently

Per-target validation: file readable · frontmatter present (between two ---) · body ≤ 500 lines (warn if larger; do not abort).

Step 2: Decompose

Parse the YAML frontmatter and the body separately, then construct an SSL representation. Use this prompt verbatim when delegating to an LLM helper:

Read the SKILL.md and emit JSON only — no markdown fences.

{
  "scheduling": {
    "triggers": [list of phrases from the description "Triggers:" line],
    "anti_triggers": [from frontmatter ssl.scheduling.anti_triggers, or null],
    "ambiguity_notes": "any trigger ≤ 4 chars, or generic adverb / conjunction"
  },
  "structural": {
    "scenes": [from frontmatter, or inferred from "## Step N:" body headings],
    "branches": [explicit branch conditions in body],
    "resumable": bool
  },
  "logical": {
    "tools": [from frontmatter ssl.logical.tools],
    "side_effects": {
      "reads": [], "writes": [], "deletes": [], "network": []
    },
    "idempotent": bool,
    "rollback": string | null
  }
}

Fields not justified by the body or frontmatter must be null or empty array. Do not infer.

Avoiding inference is the whole point. A plausible-looking guess hides the audit signal.

Step 3: Audit (per-layer)

Cross-check grep — undeclared destructive command ⇒ Logical ✗:

grep -E '(rm -rf?|DROP|delete|--force|--no-preserve)' "$target" | head -20
# diff vs. frontmatter ssl.logical.side_effects.deletes

Step 4: Score

Per layer, out of 100. Missing field −15 · ambiguous −8 · Logical-layer deductions × 1.5.

Status: ≥ 80 ✓ · 60–79 ⚠ · < 60 ✗.

The score is a triage signal — Top-3 risks matter more than the absolute number. A skill at 80 with a real Logical ✗ is more dangerous than one at 60 with three ⚠ on Scheduling.

Step 5: Report

CLI-friendly markdown with bar charts, Top-3 risks, and suggested frontmatter patches.

Single-mode shape:

┌─ <relative SKILL.md path> ─────────────┐
│ Scheduling   ████████░░  77  ⚠         │
│ Structural   ██████████ 100  ✓         │
│ Logical      ████░░░░░░  43  ✗         │
└────────────────────────────────────────┘

Top 3 Risks:
1. ✗ [Logical] body has `rm -rf {tmp}` but side_effects.deletes is empty
2. ✗ [Logical] idempotent flag missing
3. ⚠ [Structural] Step 2 branch condition is in prose only

[Suggested patch — frontmatter]
ssl:
  logical:
    side_effects:
      deletes: ["{tmp_dir} contents"]
    idempotent: false
    rollback: "Manual restore from .bak directory"

Batch-mode adds: trigger collision matrix (phrase × skill; ✗ verbatim / ⚠ substring or stem) and tool dependency graph (shared tools / scripts / hooks → SPOFs).

Output destination

Default: .galmuri/audit-{slug}.md (slug from target name). --stdout prints to terminal. --ci --threshold-logical=N exits non-zero when any skill's Logical score < N.

Token-Efficient Audit Discipline

Constraint layer over the canonical 5 scenes — not a replacement, and no fix step. The skill stays read-only; patch application is the caller's responsibility on a separate commit.

Hard limits per cycle

• Read calls: ≤ 10 files
• Bash calls: ≤ 20
• Chat output: ≤ 2000 tokens (overflow → report file)
• Parallel sub-agents: ≤ 4

If any limit is hit, write progress to tmp/audit-state-<n>.json and stop. Next invocation resumes from that state.

Reference

SSL framework: arXiv:2604.24026 (Liang et al., 2026); Schank & Abelson, Scripts, Plans, Goals and Understanding (1977).