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BF skill-standardization

Skill 标准化规范引擎。支持 R-01~R-26 规范审查（audit / create / update / refactor / bump / readonly 六模式），含权限扫描、数据目录合规检查、渐进式加载、LLM 二次筛分类。

ClawHub Agent Skills author: Lighthexuish v2.103.0 MIT-0 51 files body ≈ 2 657 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 33/100 · Will not run — References files that are not bundled: references/*.md

AnalyzerSoftware developmentAI and agentsInfrastructuretype 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
85/100
safety, quality, tests
Safety 60%
98
Quality 40%
65
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: references/*.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. 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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Secrets in code secret-high-entropy-token references/scan_patterns.json:41
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "XGR7…m1k",
    quoted
  • low Secrets in code secret-high-entropy-token references/scan_patterns.json:47
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "KD88…V0p",
    quoted

Files scanned: 51. 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: references/*.md
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "sensitive_access"
  • note frontmatter-key unknown frontmatter key "critical_write"
  • note frontmatter-key unknown frontmatter key "permission_weight"
  • note frontmatter-key unknown frontmatter key "data_dir"
  • note frontmatter-key unknown frontmatter key "external_data_dir"
  • note frontmatter-key unknown frontmatter key "trigger"
  • note frontmatter-key unknown frontmatter key "trigger_negative"
  • note frontmatter-key unknown frontmatter key "meta_field_sync"
  • note frontmatter-key unknown frontmatter key "h1_position"
  • note frontmatter-key unknown frontmatter key "data_dir_compliance"
  • note frontmatter-key unknown frontmatter key "create_permissions_md"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: references/*.md
  • 0Tools and files. 1 referenced file(s) missing: references/*.md
  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 100Steps. 54 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2657 tokens
  • low The response is described with custom markup (5 tags): a typed call is more reliable

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
  • -35 of 6 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 121: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 54 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (12 of 13)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: suspicious
This appears to be a real skill-standardization tool, but it can automatically rewrite, move, back up, and delete skill files with weak user-control boundaries.
LLM: suspicious (high) · 4 Aug 2026