SKILLEMALL.ai
GitHub ↗ RU Sign in

BF method-conventions-diagnostic

诊断心理学论文Method部分的学术规范问题，检查引用标注、伦理声明、格式惯例，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 ≈ 7 212 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

诊断心理学论文Method部分的学术规范问题，检查引用标注、伦理声明、格式惯例，输出评分与顶刊正例参考

As a process F 31/100 · Will not run — References files that are not bundled: references/examples/positive/, 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
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
54
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: references/examples/positive/, 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 SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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: 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 body-long SKILL.md body ≈ 7212 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/examples/positive/
  • warning missing-ref reference to a missing file: examples/positive/

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: references/examples/positive/, examples/positive/
  • 0Tools and files. 2 referenced file(s) missing: references/examples/positive/, 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
  • 70Execution cost. Instruction body is 7212 tokens
  • 100Steps. 66 steps
  • 100Consistency. Name and required fields are in place

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 51: 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: 66 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: 54.

External checks

ClawHub: clean
This skill is a disclosed academic-writing diagnostic tool with markdown-only reference materials and no hidden execution, credential use, or persistence.
LLM: benign (high) · VirusTotal: · 26 Aug 2026