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BC Pathophysiology-PMPH-10edition

基于人民卫生出版社《病理生理学》第10版的145项病理生理学核心技能。涵盖酸碱平衡紊乱、休克与多器官功能障碍、水电解质代谢异常、炎症与免疫应答、细胞信号转导、肿瘤发生机制等。A clinical skills handbook based on the 10th edition of Pathophysiology (PMPH) — 145 core pathophysiology skills.

ClawHub Agent Skills author: xllstudio v1.0.0 MIT-0 80 files body ≈ 208 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

基于人民卫生出版社《病理生理学》第10版的145项病理生理学核心技能。涵盖酸碱平衡紊乱、休克与多器官功能障碍、水电解质代谢异常、炎症与免疫应答、细胞信号转导、肿瘤发生机制等。A clinical skills handbook based on the 10th edition of Pathophysiology…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceLearningtype 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
80/100
safety, quality, tests
Safety 60%
93
Quality 40%
61
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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 · 7

✓ No critical or high findings

Medium and low: 7
  • low Secrets in code secret-high-entropy-token index.md:3
    High-entropy token-like string (may be an id, hash or a credential)
    本技能集合源自教材《919B…4F4》，系统涵盖病理生理学领域的145项核心能力，内容横跨酸碱平衡紊乱、休克与多器官功能障碍、水电解质代谢异常、炎症与免疫应答、细胞信号转导、肿瘤发生机制、衰老相关病理过程、呼吸与循环功能障碍、神经精神障碍、肾脏病理生理、内分泌代谢疾病等多个关键主题。这些技能旨在帮助医学生和临床工作者深入理解疾病发生发展的内在
  • low Secrets in code secret-high-entropy-token README_EN.md:1
    High-entropy token-like string (may be an id, hash or a credential)
    # Pathophysiology Path…ion
  • low Secrets in code secret-high-entropy-token README_FR.md:1
    High-entropy token-like string (may be an id, hash or a credential)
    # 病理生理学 Path…ion
  • low Secrets in code secret-high-entropy-token README_JP.md:1
    High-entropy token-like string (may be an id, hash or a credential)
    # 病理生理学 Path…ion
  • low Secrets in code secret-high-entropy-token README_RU.md:1
    High-entropy token-like string (may be an id, hash or a credential)
    # 病理生理学 Path…ion
  • low Secrets in code secret-high-entropy-token README.md:1
    High-entropy token-like string (may be an id, hash or a credential)
    # 病理生理学 Path…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: Path…ion

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "maintainer"
  • note frontmatter-key unknown frontmatter key "skills"
  • note frontmatter-key unknown frontmatter key "categories"

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 5 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 208 tokens
  • 100Running it twice. No mutating operations

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)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +2Single-language instructions
  • +3Description length 200: enough signal without eating the budget
  • +4Structure: 3 headings
  • +3Step-by-step instructions: 5 items
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: suspicious
This markdown-only medical education skill is not malware, but it needs review because several skills give direct high-risk clinical procedure and treatment guidance without enough per-skill safety boundaries.
LLM: suspicious (high) · VirusTotal: · 7 Jun 2026