SKILLEMALL.ai
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BF project-code-standard

此 skill 用于检查、执行和修复项目代码规范。当用户需要为项目建立代码风格标准、 检查代码是否符合规范、自动修复格式问题、生成代码质量报告，或在 Code Review 中验证提交是否满足团队规范时激活。支持 Python (PEP8/black/ruff)、JavaScript/ TypeScript (ESLint/Prettier)、通用项目规范（命名、注释、文件结构）等。

ClawHub Agent Skills author: forestxieCode v0.1.0 2 files body ≈ 472 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 35/100 · Will not run — References files that are not bundled: assets/ruff.toml, assets/.eslintrc.json, assets/.prettierrc

AnalyzerSoftware 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
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: assets/ruff.toml, assets/.eslintrc.json, assets/.prettierrc
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. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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: 2. 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 missing-ref reference to a missing file: assets/ruff.toml
  • warning missing-ref reference to a missing file: assets/.eslintrc.json
  • warning missing-ref reference to a missing file: assets/.prettierrc
  • warning missing-ref reference to a missing file: assets/.editorconfig

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: assets/ruff.toml, assets/.eslintrc.json, assets/.prettierrc
  • 0Tools and files. 4 referenced file(s) missing: assets/ruff.toml, assets/.eslintrc.json, assets/.prettierrc
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 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
  • 100Steps. 19 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 472 tokens
  • 100Running it twice. No mutating operations

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 194: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 19 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: clean
This skill is a straightforward code-quality helper for linting and optional formatting, with no evidence of hidden data access, network use, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026