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BF analysis-toolkit

检验检测行业质量控制和数据分析工具箱。覆盖室内质控、室间比对、批次间比对、方法验证、趋势监控五大场景。方法通用，跨领域适用。

ClawHub Agent Skills author: Lighthexuish v2.0.4 MIT-0 76 files body ≈ 1 300 tokens Open the sourceclawhub.ai↗ analyzed 22 h ago

检验检测行业质量控制和数据分析工具箱。覆盖室内质控、室间比对、批次间比对、方法验证、趋势监控五大场景。方法通用，跨领域适用。

As a process F 35/100 · Will not run — References files that are not bundled: references/*.md

AnalyzerInfrastructuretype 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%
100
Quality 40%
62
Run on models
none yet
Process rating
F
35/100
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 · 0

✓ No critical or high findings

Files scanned: 76. 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 "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 "title"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "trigger"
  • note frontmatter-key unknown frontmatter key "trigger_negative"
  • note frontmatter-key unknown frontmatter key "read_when"
  • note frontmatter-key unknown frontmatter key "h1_position"
  • note frontmatter-key unknown frontmatter key "trigger_quality"
  • note frontmatter-key unknown frontmatter key "external_data_dir"
  • note frontmatter-key unknown frontmatter key "meta_field_sync"
  • note frontmatter-key unknown frontmatter key "antipattern_detail"
  • note frontmatter-key unknown frontmatter key "faq_quality"
  • note frontmatter-key unknown frontmatter key "create_permissions_md"

Process rating: all ten parameters 35/100

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
  • 100Steps. 28 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1300 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)
  • +3Description length 62: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (15 of 15)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: suspicious
This appears to be a legitimate analysis toolkit, but it understates that it can open a network-reachable config server and persistently modify local templates and Python code.
LLM: suspicious (high) · VirusTotal: · 25 Jun 2026