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BF ct-literature

检索公开学术文献（OpenAlex 主源 + Europe PMC/MeSH 生物医学精准[默认开启] + bioRxiv/medRxiv 预印本 + arXiv 方法学广度），归一化合并去重，可产出 CSM 安全性定性子集，协助提供OA文献PDF下载。

ClawHub Agent Skills author: Wintone Zhang v1.0.0 MIT-0 63 files body ≈ 4 838 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

检索公开学术文献（OpenAlex 主源 + Europe PMC/MeSH 生物医学精准[默认开启] + bioRxiv/medRxiv 预印本 + arXiv 方法学广度），归一化合并去重，可产出 CSM 安全性定性子集，协助提供OA文献PDF下载。

As a process F 55/100 · Will not run — References files that are not bundled: scripts/.env

ProcedureObsidianExcelInfrastructureData and analyticsMarketingtype 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%
93
Quality 40%
68
Run on models
none yet
Process rating
F
55/100
Will not run
References files that are not bundled: scripts/.env
Tools and files w 18
0
When it triggers w 12
20
Running it twice w 4
30
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 · 7

✓ No critical or high findings

Medium and low: 7
  • low Obfuscation obf-base64-blob adapters/bug_report.py:83
    Long base64-looking blob (detector / deny-list definition)
    "Bg1n…XQs
    detector
  • low Secrets in code secret-high-entropy-token docs/prospero_access_guide.md:31
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    ETag: W/"4b-Q…qB4"
    quoted
  • low Secrets in code secret-high-entropy-token docs/prospero_access_guide.md:35
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    ETag: W/"4b-Q…qB4"   （与 A 完全相同）
    quoted
  • low Secrets in code secret-high-entropy-token docs/prospero_access_guide.md:39
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    ETag: W/"4b-Q…qB4"   （与 A/B 完全相同）
    quoted
  • low Exfiltration read-dotenv README_zh-CN.md:335
    Reads a .env file
    cp .env.example .env          # 编辑 .env 填入 OPENALEX_API_KEY=你的key
  • low Exfiltration read-dotenv README.md:335
    Reads a .env file
    cp .env.example .env          # edit .env -> OPENALEX_API_KEY=your_key
  • low Exfiltration read-dotenv references/openalex_key.md:40
    Reads a .env file
    cp .env.example .env

Files scanned: 63. 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: scripts/.env
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "cn_name"
  • note frontmatter-key unknown frontmatter key "invocable"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "triggers"
  • note frontmatter-key unknown frontmatter key "required_commands"
  • note frontmatter-key unknown frontmatter key "permissions"

Process rating: all ten parameters 55/100

Will not run. References files that are not bundled: scripts/.env
  • 0Tools and files. 1 referenced file(s) missing: scripts/.env
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 15 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 4838 tokens
  • 85Steps. 29 steps, 2 vague phrases
  • 100Inputs and preconditions. Inputs and preconditions are listed
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 16 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)
  • -320 of 22 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 127: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 29 items
  • +3Output format is stated explicitly
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (5 of 10)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
The skill is a real literature-search tool, but it needs Review because it sends some searches/PDF identifiers and bug-report metadata to Coze services and uses persistent machine-derived identifiers that are not clearly disclosed to users.
LLM: suspicious (high) · 7 Sept 2026