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AF guardian-audit

Tamper-evident audit logger that pairs with Guardian safety skill. Captures safety decisions (halts, approvals, escalations) in an append-only, hash-chained log. Use when Guardian makes a safety decision. Use for compliance audit trails. Does NOT activate on general logging requests like 'log this' or routine queries. Requires explicit safety context or compliance intent to trigger.

ClawHub Agent Skills author: Tooled-app v1.2.0 MIT-0 9 files body ≈ 1 634 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 35/100 · Will not run — References files that are not bundled: references/LOG-SCHEMA.md, references/COMPLIANCE-MAPPING.md, references/REPLAY.md

AnalyzerSecuritytype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/LOG-SCHEMA.md, references/COMPLIANCE-MAPPING.md, references/REPLAY.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/LOG-SCHEMA.md
  • warning missing-ref reference to a missing file: references/COMPLIANCE-MAPPING.md
  • warning missing-ref reference to a missing file: references/REPLAY.md
  • note frontmatter-key unknown frontmatter key "Support"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/LOG-SCHEMA.md, references/COMPLIANCE-MAPPING.md, references/REPLAY.md
  • 0Tools and files. 3 referenced file(s) missing: references/LOG-SCHEMA.md, references/COMPLIANCE-MAPPING.md, references/REPLAY.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 7 mutating operations with no state check
  • 40Consistency. Frontmatter name (guardian-audit) differs from the folder (data-guardian-audit)
  • 55Failures and branches. 1 branches
  • 100Steps. 32 steps
  • 100Execution cost. Instruction body is 1634 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 14 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 385: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 32 items
  • +4Has examples (5 code blocks)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: suspicious
This audit skill is not malicious, but it needs review because it stores sensitive operational logs while overstating some integrity and compliance guarantees.
LLM: suspicious (high) · 28 May 2026