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AF zhuang-infochart-master

为知识型配图、文章配图、概念解释图、流程图、数据图表和信息图创作高质量生图 Prompt，并可在用户确认后生成图片。适用于用户想把文字、数据、流程、方法论或概念做成 GPT Image 2 配图，或需要在 Web UI、2.5D isometric、墨水简约、Notion 手绘、概念卡片等风格中选择并作图的场景。

ClawHub Agent Skills author: Bill Zhuang v1.0.0 MIT-0 14 files body ≈ 1 535 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 51/100 · Will not run — References files that are not bundled: references/prompt_result/<content_type>/<style>.md

ProcedureNotionAI and agentsInfrastructuretype 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
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
F
51/100
Will not run
References files that are not bundled: references/prompt_result/<content_type>/<style>.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
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 · 0

✓ No critical or high findings

Files scanned: 14. 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/prompt_result/<content_type>/<style>.md

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: references/prompt_result/<content_type>/<style>.md
  • 0Tools and files. 1 referenced file(s) missing: references/prompt_result/<content_type>/<style>.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 39 steps
  • 100Failures and branches. 6 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1535 tokens
  • low The response is described with custom markup (4 tags): a typed call is more reliable

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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 157: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 39 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This skill is a disclosed infochart prompt helper with optional fal.ai image generation after user approval; the main cautions are third-party prompt processing and local run metadata.
LLM: benign (high) · VirusTotal: · 28 May 2026