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AF baoyu-article-illustrator

Analyzes article structure, identifies positions requiring visual aids, generates illustrations with Type × Style × Palette three-dimension approach. Use when user asks to "illustrate article", "add images", "generate images for article", or "为文章配图".

ClawHub Agent Skills author: Jim Liu 宝玉 v1.117.4 MIT-0 38 files body ≈ 4 139 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 58/100 · Will not run — References files that are not bundled: {relative-path}/NN-{type}-{slug}.png, references/NN-ref-{slug}.{ext}

AnalyzerWriting 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
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
F
58/100
Will not run
References files that are not bundled: {relative-path}/NN-{type}-{slug}.png, references/NN-ref-{slug}.{ext}
Tools and files w 18
0
Inputs and preconditions w 11
0
When it triggers w 12
50
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: 38. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: {relative-path}/NN-{type}-{slug}.png
  • warning missing-ref reference to a missing file: references/NN-ref-{slug}.{ext}

Process rating: all ten parameters 58/100

Will not run. References files that are not bundled: {relative-path}/NN-{type}-{slug}.png, references/NN-ref-{slug}.{ext}
  • 0Tools and files. 2 referenced file(s) missing: {relative-path}/NN-{type}-{slug}.png, references/NN-ref-{slug}.{ext}
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 4139 tokens
  • 100Steps. 47 steps
  • 100Failures and branches. 12 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 top-level sections: this looks like several domains in one skill

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 3 example trigger phrases
  • +3Description length 250: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 47 items
  • +3Output format is stated explicitly
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

External checks

ClawHub: suspicious
The skill is mostly a normal article-illustration workflow, but it contains a prompt that tells the agent not to refuse sensitive or copyrighted-figure requests.
LLM: suspicious (high) · VirusTotal: · 13 Jun 2026