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AF page-doc-generator

Generate Word documentation from mini-program/uni-app project screenshots and source code. Use when user wants to document pages with screenshots and code. Triggered by requests like "create page document", "generate project documentation", "document with screenshots and code", "create Word document from project screenshots".

ClawHub Agent Skills author: SkyFragments v1.0.0 MIT-0 4 files body ≈ 603 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 54/100 · Will not run — References files that are not bundled: screenshot_path.png

GeneratorWordSoftware developmentWriting and documentstype 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
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
F
54/100
Will not run
References files that are not bundled: screenshot_path.png
Tools and files w 18
0
Progress reporting w 2
0
When it triggers w 12
20
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: screenshot_path.png

Process rating: all ten parameters 54/100

Will not run. References files that are not bundled: screenshot_path.png
  • 0Tools and files. 1 referenced file(s) missing: screenshot_path.png
  • 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
  • 55Failures and branches. 1 branches
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 7 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 603 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 327: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 7 items
  • +3Output format is stated explicitly
  • +4Has examples (8 code blocks)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

External checks

ClawHub: clean
This skill locally generates documentation from user-selected mini-program project files and screenshots, with no evidence of hidden data transfer, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026