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BF unified-research-finder

统一的学术文献检索助手。覆盖两大体系：(1) PubMed 官方 E-utilities API（esearch+efetch，真实 PMID/摘要/DOI）与 PubMed 网页检索；(2) Google Scholar 及其镜像站——灯塔学术搜索、烂番薯学术搜索、Google Scholar 香港镜像、Google Scholar 官方站，以及 KipHub学术、学术搜索Pro 等大陆镜像，按「kiphub → 烂番薯 → 学术搜索Pro → 灯塔 → 香港 → 官方」优先级自动回退。当用户要找文献、查论文、搜 PubMed、查 Google 学术/谷歌学术、用学术镜像站、要影响因子或引用数据时启用。找不到就是找不到，绝不编造。

ClawHub Agent Skills author: GeorgeChou17 v1.1.1 MIT-0 10 files body ≈ 1 416 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

统一的学术文献检索助手。覆盖两大体系：(1) PubMed 官方 E-utilities API（esearch+efetch，真实 PMID/摘要/DOI）与 PubMed 网页检索；(2) Google Scholar 及其镜像站——灯塔学术搜索、烂番薯学术搜索、Google Scholar…

As a process F 33/100 · Will not run — References files that are not bundled: scripts/unified_search.py, scripts/pubmed_search.py, scripts/scholar_search.py

IntegrationPlaywrightSoftware developmentWriting and documentsResearchtype 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%
100
Quality 40%
57
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: scripts/unified_search.py, scripts/pubmed_search.py, scripts/scholar_search.py
Tools and files w 18
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.
  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 · 0

✓ No critical or high findings

Files scanned: 0. 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/unified_search.py
  • warning missing-ref reference to a missing file: scripts/pubmed_search.py
  • warning missing-ref reference to a missing file: scripts/scholar_search.py
  • warning missing-ref reference to a missing file: references/scholar-sources.md
  • warning missing-ref reference to a missing file: references/pubmed-query-syntax.md
  • warning missing-ref reference to a missing file: references/register-api-key.md
  • note frontmatter-key unknown frontmatter key "agent_created"
  • note frontmatter-key unknown frontmatter key "triggers"
  • note frontmatter-key unknown frontmatter key "disable"
  • note frontmatter-key unknown frontmatter key "tools"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: scripts/unified_search.py, scripts/pubmed_search.py, scripts/scholar_search.py
  • 0Tools and files. 6 referenced file(s) missing: scripts/unified_search.py, scripts/pubmed_search.py, scripts/scholar_search.py
  • 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
  • 100Steps. 39 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1416 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 320: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 39 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.

External checks

ClawHub: suspicious
This academic search skill is mostly coherent, but it asks users to reveal an API key in chat and automatically sends searches to multiple third-party mirror sites without a clear consent step.
LLM: suspicious (high) · 24 Jul 2026