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AF skill-privacy-guard

STOPS all sensitive information from entering skill files. Automatically blocks usernames, paths, personal data when creating or updating skills. CRITICAL - highest priority.

ClawHub Agent Skills author: zhanggroot7 v1.0.0 MIT-0 2 files body ≈ 3 654 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 53/100 · Will not run — References files that are not bundled: ?!example

GeneratorInfrastructuretype 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%
99
Quality 40%
76
Run on models
none yet
Process rating
F
53/100
Will not run
References files that are not bundled: ?!example
Tools and files w 18
0
Inputs and preconditions w 11
0
When it triggers w 12
20
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-aws-key skill.md:110
    AWS access key ID (placeholder value)
    - AWS Access Keys → `AKIA…PLE`
    placeholder

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ?!example
  • note frontmatter-key unknown frontmatter key "priority"

Process rating: all ten parameters 53/100

Will not run. References files that are not bundled: ?!example
  • 0Tools and files. 1 referenced file(s) missing: ?!example
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 14 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 149 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3654 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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)
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +3Description length 174: enough signal without eating the budget
  • +4Structure: 33 headings
  • +3Step-by-step instructions: 149 items
  • +3Output format is stated explicitly
  • +4Has examples (9 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This skill is a disclosed privacy sanitizer for skill files, with over-editing risk but no evidence of hidden execution or data theft.
LLM: benign (high) · VirusTotal: · 29 May 2026