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DD internal-medicine-pmph-10edition

432 项基于人民卫生出版社《内科学》第10版（五年制本科临床医学专业第十轮规划教材）的核心临床技能集合。 涵盖心血管、呼吸、消化、内分泌与代谢、肾脏、血液、风湿免疫、感染、中毒与理化损伤及肿瘤综合等亚专业领域。 当用户输入与内科学相关的临床问题（症状、疾病、检验异常、治疗方案、药物调整等）时，自动匹配并调用相应的技能模块。 每个技能聚焦于疾病诊断标准、风险评估、治疗策略、实验室与影像解读、急症处理及慢病管理等关键临床场景。

Not recommendedlow grade D
ClawHub Agent Skills author: xllstudio v1.0.2 MIT-0 80 files body ≈ 0 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

432 项基于人民卫生出版社《内科学》第10版（五年制本科临床医学专业第十轮规划教材）的核心临床技能集合。 涵盖心血管、呼吸、消化、内分泌与代谢、肾脏、血液、风湿免疫、感染、中毒与理化损伤及肿瘤综合等亚专业领域。…

As a process D 38/100 · Unfinished process — weak spots: steps, result and completion, when it triggers

Referencetype 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
D
58/100
safety, quality, tests
Safety 60%
93
Quality 40%
5
Run on models
none yet
Process rating
D
38/100
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 · 7

✓ No critical or high findings

Medium and low: 7
  • low Secrets in code secret-high-entropy-token README_EN.md:99
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    Install the skill "Inte…ion" (xllgreen/inte…ion) from ClawHub only after those checks pass.
    detector
  • low Secrets in code secret-high-entropy-token README_FR.md:99
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    N'installez la compétence "Inte…ion" (xllgreen/inte…ion) depuis ClawHub qu'après ces vérifications.
    quoted
  • low Secrets in code secret-high-entropy-token README_JA.md:1
    High-entropy token-like string (may be an id, hash or a credential)
    # 内科学 Inte…ion
  • low Secrets in code secret-high-entropy-token README_JA.md:99
    High-entropy token-like string (may be an id, hash or a credential)
    それらの確認が完了した後にのみ、ClawHubからスキル「Inte…ion」（xllgreen/inte…ion）をインストールしてください。
  • low Secrets in code secret-high-entropy-token README_RU.md:99
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    Устанавливайте навык "Inte…ion" (xllgreen/inte…ion) с ClawHub только после прохождения этих проверок.
    quoted
  • low Secrets in code secret-high-entropy-token README.md:1
    High-entropy token-like string (may be an id, hash or a credential)
    # 内科学 Inte…ion
  • low Secrets in code secret-high-entropy-token README.md:95
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    Install the skill "Inte…ion" (xllgreen/inte…ion) from ClawHub only after those checks pass.
    detector

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error body-empty SKILL.md: empty instructions body
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "categories"

Process rating: all ten parameters 38/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 0 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)
  • +4Structure: 0 headings, hard to scan
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -15SKILL.md body under 300 characters: nearly empty
  • +1No license
  • +2Single-language instructions
  • +3Description length 214: enough signal without eating the budget

Quality base 70; lint remarks subtract, signals add up to 100. Result: 5.

External checks

ClawHub: clean
This is a mostly static medical-textbook skill collection with disclosed clinical and educational content, no executable code, and no evidence of hidden data access or exfiltration.
LLM: benign (high) · VirusTotal: · 13 Jun 2026