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BF 校准作业指导书技能

辅助生成计量校准作业指导书；根据设备信息自动推荐适用标准、补充校准参数与环境要求，输出符合规范的指导书文档；当用户需要创建校准作业指导书、检定规程文档或计量技术文件时使用

ClawHub Agent Skills author: engicool v0.1.0 MIT-0 2 files body ≈ 1 045 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

辅助生成计量校准作业指导书；根据设备信息自动推荐适用标准、补充校准参数与环境要求，输出符合规范的指导书文档；当用户需要创建校准作业指导书、检定规程文档或计量技术文件时使用

As a process F 31/100 · Will not run — References files that are not bundled: templates/temperature.json, templates/pressure.json, templates/electrical.json

ProcedureQuality controltype 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
80/100
safety, quality, tests
Safety 60%
100
Quality 40%
50
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: templates/temperature.json, templates/pressure.json, templates/electrical.json
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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: templates/temperature.json
  • warning missing-ref reference to a missing file: templates/pressure.json
  • warning missing-ref reference to a missing file: templates/electrical.json
  • warning missing-ref reference to a missing file: templates/mechanical.json
  • warning missing-ref reference to a missing file: templates/length.json
  • warning missing-ref reference to a missing file: templates/flow.json
  • warning missing-ref reference to a missing file: scripts/doc_generator.py
  • warning missing-ref reference to a missing file: references/templates/temperature.json
  • warning missing-ref reference to a missing file: references/templates/pressure.json
  • warning missing-ref reference to a missing file: references/templates/electrical.json
  • warning missing-ref reference to a missing file: references/templates/mechanical.json
  • warning missing-ref reference to a missing file: references/templates/length.json
  • warning missing-ref reference to a missing file: references/templates/flow.json
  • warning missing-ref reference to a missing file: references/format_spec.md
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: templates/temperature.json, templates/pressure.json, templates/electrical.json
  • 0Tools and files. 14 referenced file(s) missing: templates/temperature.json, templates/pressure.json, templates/electrical.json
  • 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
  • 40Consistency. Frontmatter name (校准作业指导书技能) differs from the folder (skill-calibration-sop-generator)
  • 100Steps. 26 steps
  • 100Execution cost. Instruction body is 1045 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 85: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 50.

External checks

ClawHub: clean
This skill is a calibration-document drafting helper with no hidden data access, persistence, or privileged behavior in the inspected artifact.
LLM: benign (high) · VirusTotal: · 16 Jul 2026