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BF guanrentang-writer

观仁堂中医公众号文章生成器。写文章 + 自动配图一体化。当用户说"写文章"、"帮我写一篇"、"公众号文章"时自动触发。支持随机选题和固定主题（古法熏蒸推广、放假通知），生成符合观仁堂风格的中医养生文章，并自动配图。

ClawHub Agent Skills author: FENG/XIAODONG v1.4.0 MIT-0 3 files body ≈ 2 835 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 35/100 · Will not run — References files that are not bundled: assets/header-decorative.jpg, images/{文章标题}/content-1.jpg, images/{文章标题}/content-2.jpg

GeneratorInfrastructuretype 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
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
57
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: assets/header-decorative.jpg, images/{文章标题}/content-1.jpg, images/{文章标题}/content-2.jpg
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 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: 3. 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: assets/header-decorative.jpg
  • warning missing-ref reference to a missing file: images/{文章标题}/content-1.jpg
  • warning missing-ref reference to a missing file: images/{文章标题}/content-2.jpg
  • warning missing-ref reference to a missing file: images/{文章标题}/recipe.jpg
  • warning missing-ref reference to a missing file: assets/ending-thanks.jpg
  • warning missing-ref reference to a missing file: assets/ending-divider.jpg
  • warning missing-ref reference to a missing file: assets/ending-follow.png
  • warning missing-ref reference to a missing file: assets/ending-qrcode.jpg
  • warning missing-ref reference to a missing file: 路径
  • warning missing-ref reference to a missing file: assets/gufa-xunzheng-cover.jpg
  • warning missing-ref reference to a missing file: images/holiday-notice.jpg

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: assets/header-decorative.jpg, images/{文章标题}/content-1.jpg, images/{文章标题}/content-2.jpg
  • 0Tools and files. 11 referenced file(s) missing: assets/header-decorative.jpg, images/{文章标题}/content-1.jpg, images/{文章标题}/content-2.jpg
  • 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
  • 100Steps. 90 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2835 tokens
  • 100Running it twice. No mutating operations
  • low 11 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 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)
  • +3Description length 107: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 39 headings
  • +3Step-by-step instructions: 90 items
  • +4Has examples (14 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.

External checks

ClawHub: clean
This skill appears to generate Chinese-medicine WeChat article drafts and images as advertised, with disclosed local file output and Zhipu image API use.
LLM: benign (high) · VirusTotal: · 29 May 2026