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BD Pathology-PMPH-10edition

Comprehensive pathology skill collection based on People's Medical Publishing House "Pathology" 10th Edition — 145 core pathology skills covering inflammation, tumors, infection, metabolism, immunology, cardiovascular, respiratory, digestive, neural, and urogenital systems.

ClawHub Agent Skills author: xllstudio v1.0.0 MIT-0 80 files body ≈ 290 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Comprehensive pathology skill collection based on People's Medical Publishing House "Pathology" 10th Edition — 145 core pathology skills covering…

As a process D 36/100 · Unfinished process — weak spots: steps, result and completion, when it triggers

ReferenceResearchtype 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
85/100
safety, quality, tests
Safety 60%
99
Quality 40%
64
Run on models
none yet
Process rating
D
36/100
Unfinished process
Steps w 15
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.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-high-entropy-token index.md:3
    High-entropy token-like string (may be an id, hash or a credential)
    本技能合集源自权威教材《182F…589》，涵盖病理学核心理论、疾病机制解析、组织诊断标准、分子分型策略及临床转化应用等145项关键能力。内容横跨炎症、肿瘤、感染、代谢、免疫、心血管、呼吸、消化、神经及泌尿生殖等多个系统，融合传统病理形态学与现代多组学技术（如单细胞测序、液体活检、IHC、基因芯片等），旨在为医学生、病理医师及临床研究人员提供

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")

Process rating: all ten parameters 36/100

  • 0Steps. Prose only: no discrete steps
  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 100Tools and files. No external tools needed
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 290 tokens

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)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 274: enough signal without eating the budget
  • +4Structure: 4 headings
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: suspicious
This is a medical pathology skill library with no malware signals, but it gives diagnosis and treatment guidance without consistent clinician-oversight and emergency-safety boundaries.
LLM: suspicious (high) · VirusTotal: · 7 Jun 2026