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BF method-vocabulary-diagnostic

诊断心理学论文Method部分的词汇与学术用语问题，检查学术动词、固定搭配、术语规范，输出评分与顶刊正例参考

ClawHub Agent Skills author: wangjinhongmy-pixel v1.0.0 MIT-0 55 files body ≈ 3 919 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

诊断心理学论文Method部分的词汇与学术用语问题，检查学术动词、固定搭配、术语规范，输出评分与顶刊正例参考

As a process F 33/100 · Will not run — References files that are not bundled: references/examples/positive/

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
86/100
safety, quality, tests
Safety 60%
99
Quality 40%
67
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: references/examples/positive/
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-high-entropy-token SKILL.md:8
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    source: Scie…on_§2.4.2
    detector

Files scanned: 55. 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/examples/positive/

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: references/examples/positive/
  • 0Tools and files. 1 referenced file(s) missing: references/examples/positive/
  • 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. 53 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3919 tokens

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 54: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 53 items
  • +4Has examples (6 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This skill is a disclosed academic-writing diagnostic that reads user-provided Method text and bundled reference markdown files to produce vocabulary feedback.
LLM: benign (high) · VirusTotal: · 26 Aug 2026