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CD Obstetrics-and-Gynecology-PMPH-10edition

基于人民卫生出版社《妇产科学》第10版 — 187 项妇产科临床技能注册表

ClawHub Agent Skills author: xllstudio v1.0.0 MIT-0 80 files · 3 scripts body ≈ 7 910 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

基于人民卫生出版社《妇产科学》第10版 — 187 项妇产科临床技能注册表

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructureAI and agentsData 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
C
68/100
safety, quality, tests
Safety 60%
97
Quality 40%
25
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
When it triggers w 12
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 SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Secrets in code secret-high-entropy-token index.md:3
    High-entropy token-like string (may be an id, hash or a credential)
    本技能合集基于权威教材《8F27…363》，系统整合了妇产科学领域共187项临床与学术核心技能，涵盖女性全生命周期健康管理、妊娠与分娩管理、妇科肿瘤诊疗、生殖内分泌疾病、辅助生殖技术、围产期并发症处理、感染性疾病防控、盆底功能障碍、遗传咨询与产前诊断等多个关键方向。内容兼顾国际指南与中国临床实践（如PCOS中国2011诊断标准），适用于医学生
  • low Secrets in code secret-high-entropy-token README.md:1
    High-entropy token-like string (may be an id, hash or a credential)
    # 妇产科学 Obst…ion
  • low Secrets in code secret-high-entropy-token SKILL.md:2
    High-entropy token-like string (may be an id, hash or a credential)
    name: Obst…ion

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Map keys must be unique at line 7, column 1: skills: 187 categories: ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-short description under 40 chars: too little signal for triggering
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 7910 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "categories"
  • note frontmatter-key unknown frontmatter key "skills"

Process rating: all ten parameters 46/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 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
  • 30Running it twice. 2 mutating operations with no state check
  • 70Execution cost. Instruction body is 7910 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 192 steps
  • 100Consistency. Name and required fields are in place
  • low 15 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

  • +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 37: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -215 emoji in the instructions: noise for the model
  • -32 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 192 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 25.

External checks

ClawHub: suspicious
This appears to be a medical reference skill, but it includes high-risk clinical treatment, procedure, and dosing guidance without enough safety boundaries for general installation.
LLM: suspicious (high) · VirusTotal: · 4 Jun 2026