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BC yidun-skill-sec

Intelligent code security scanner with hybrid local-cloud detection. Fingerprints packages, runs static behavioral analysis, and consults cloud threat intelligence (enabled by default, can be disabled) for confidence scoring.

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 4 files body ≈ 5 328 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Intelligent code security scanner with hybrid local-cloud detection.

As a process C 63/100 · Has gaps — weak spots: when it triggers, consistency, running it twice

AnalyzerAWSData and analyticsSoftware developmenttype 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
B
78/100
safety, quality, tests
Safety 60%
89
Quality 40%
61
Run on models
none yet
Process rating
C
63/100
Has gaps
Progress reporting w 2
0
When it triggers w 12
20
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 11

✓ No critical or high findings

Medium and low: 11
  • low Dangerous commands cmd-privilege README.md:79
    Privilege escalation / world-writable permissions (documentation table row; documentation of a security skill)
    | `PRIV_ESCALATION` | `sudo`, `chmod 777`, `setuid` patterns |
    tablesecurity skill
  • low Dangerous commands cmd-privilege README.zh-CN.md:79
    Privilege escalation / world-writable permissions (documentation table row; documentation of a security skill)
    | `PRIV_ESCALATION` | `sudo`、`chmod 777`、`setuid` 等提权操作 |
    tablesecurity skill
  • low Dangerous commands cmd-privilege SKILL.md:163
    Privilege escalation / world-writable permissions (documentation table row; documentation of a security skill)
    | `PRIV_ESCALATION` | `sudo`, `chmod 777`, `setuid` patterns | +30 |
    tablesecurity skill
  • low Dangerous commands cmd-privilege SKILL.md:205
    Privilege escalation / world-writable permissions (documentation of a security skill)
    sudo\s|chmod\s+[0-7]*7|chown\s+root|setuid
    security skill

A further 7 matches are quotations in this security skill's documentation and are not counted as findings.

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 5328 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "changelog"

Process rating: all ten parameters 63/100

  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 5 mutating operations with no state check
  • 40Consistency. Frontmatter name (yidun-skill-sec) differs from the folder (my-test-skill)
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5328 tokens
  • 100Steps. 23 steps
  • 100Failures and branches. 2 branches, has a failure section
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 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)
  • -228 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 225: enough signal without eating the budget
  • +4Structure: 32 headings
  • +3Step-by-step instructions: 23 items
  • +3Output format is stated explicitly
  • +4Has examples (14 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.