SKILLEMALL.ai

AF agent-security-audit

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ClawHub Agent Skills author: G620710 v1.2.4 MIT-0 6 files body ≈ 1 188 tokens Open the sourceclawhub.ai analyzed 11 h ago

AI安全审计助手 - 按次付费,新用户注册送5次免费。20+项漏洞扫描+AI深度安全分析,检测敏感信息泄露、API密钥暴露、注入风险、权限问题,开发者发布前安全自检必备。 💡 企业定制/智能体开发/AI全案服务,合作微信17392371127(郭总)

As a process F 52/100 · Will not run — References files that are not bundled: references/owasp_top10.md, references/fix_examples.md

IntegrationAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
F
52/100
Will not run
References files that are not bundled: references/owasp_top10.md, references/fix_examples.md
Tools and files w 18
0
Failures and branches w 10
0
Progress reporting w 2
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: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/owasp_top10.md
  • warning missing-ref reference to a missing file: references/fix_examples.md

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: references/owasp_top10.md, references/fix_examples.md
  • 0Tools and files. 2 referenced file(s) missing: references/owasp_top10.md, references/fix_examples.md
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 65 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1188 tokens
  • 100Running it twice. No mutating operations
  • low 12 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)
  • +2Single-language instructions
  • +3Description length 126: enough signal without eating the budget
  • +4Structure: 28 headings
  • +3Step-by-step instructions: 65 items
  • +3Output format is stated explicitly
  • +4Has examples (11 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

External checks

ClawHub: suspicious
This security-audit skill is review-worthy because its documentation promises local/static scanning, but the bundled script is a SaaS client that sends supplied code to a remote HTTP API.
LLM: suspicious (high) · 25 Jul 2026