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BF GKTJ-Pt-skill

Use when generating patient-facing questionnaire analysis reports from uploaded survey spreadsheets or questionnaire tables, especially when the output must include fixed sections, consistent charts, controlled Word typography, and restrained patient-facing wording.

ClawHub Agent Skills author: Leegoat v0.1.1 MIT-0 2 files body ≈ 1 392 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Use when generating patient-facing questionnaire analysis reports from uploaded survey spreadsheets or questionnaire tables, especially when the output must…

As a process F 34/100 · Will not run — References files that are not bundled: scripts/parse_questionnaire.py, references/expression-modules.md, scripts/build_payload.py

AnalyzerWordExcelData and analyticstype 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
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
F
34/100
Will not run
References files that are not bundled: scripts/parse_questionnaire.py, references/expression-modules.md, scripts/build_payload.py
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. 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: 2. 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 missing-ref reference to a missing file: scripts/parse_questionnaire.py
  • warning missing-ref reference to a missing file: references/expression-modules.md
  • warning missing-ref reference to a missing file: scripts/build_payload.py
  • warning missing-ref reference to a missing file: scripts/render_report.py
  • warning missing-ref reference to a missing file: references/template-spec.md
  • warning missing-ref reference to a missing file: references/section-rules.md
  • warning missing-ref reference to a missing file: references/compliance-rules.md
  • warning missing-ref reference to a missing file: references/execution-rules.md
  • warning missing-ref reference to a missing file: scripts/render_from_template.py
  • warning missing-ref reference to a missing file: scripts/update_word_charts.py

Process rating: all ten parameters 34/100

Will not run. References files that are not bundled: scripts/parse_questionnaire.py, references/expression-modules.md, scripts/build_payload.py
  • 0Tools and files. 10 referenced file(s) missing: scripts/parse_questionnaire.py, references/expression-modules.md, scripts/build_payload.py
  • 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
  • 40Consistency. Frontmatter name (GKTJ-Pt-skill) differs from the folder (gktj-pt-skill-template-driven)
  • 50When it triggers. No condition that starts the skill
  • 100Steps. 89 steps
  • 100Execution cost. Instruction body is 1392 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
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 266: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 89 items

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

External checks

ClawHub: clean
This skill is a document-generation workflow for patient questionnaire reports, with no evidence of hidden access, persistence, exfiltration, or unsafe automatic behavior.
LLM: benign (high) · VirusTotal: · 10 Jul 2026