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academic-research

学科/学术研究技能。用于学术文献调研、论文检索与精读、文献综述撰写、学术引用核验。核心数据源为 arXiv、PubMed、Crossref 等免费开放 API。触发场景:写综述、查文献、了解某研究方向、核验引用、阅读长文论文。

Quality

92%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

88%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

An efficient, highly actionable body with concrete commands, output templates, and a verification workflow that includes explicit validation and error recovery. The main improvement opportunities are filling in placeholder example values and splitting the API reference detail into a bundle file.

DimensionReasoningScore

Conciseness

The body is lean throughout: one-line curl commands with parsing notes ("解析 `<entry>`:`<title>`、`<published>`、`<id>`") and dense numbered workflows with no padding. The parenthetical domain tags ("预印本,计算机/物理/数学", "生物医学") serve API-routing decisions rather than explaining known concepts, so every token earns its place.

5 / 5

Actionability

Two commands are copy-paste ready with real query values ("graph+neural+network", "causal+inference+diabetes") and the 精读卡 output template is fully concrete, but several examples are placeholder templates ("id=PMID1,PMID2", "10.xxxx/xxxxx", "{DOI}?email=you@example.com"). This is 'mostly executable guidance with minor gaps' rather than the fully copy-paste-ready coverage of the 5 anchor.

4 / 5

Workflow Clarity

Both workflows are clearly sequenced, and the mandatory citation-verification step includes an explicit validation checkpoint ("逐一用 Crossref 校验"), an error-recovery feedback loop ("发现虚构引用时明确提示:⚠️ ... 请移除或替换"), and a checklist ("引用核验清单(全部经 Crossref 校验)"). The batch-operation cap does not apply since validation is present, matching the 5 anchor's validate-fix-retry pattern.

5 / 5

Progressive Disclosure

Sections are well-organized with clear headers and the skill is self-contained (no broken or buried references), but at ~80 lines with five API references inlined (sections 1.1–1.4) it exceeds the under-50-line simple-skill exception. The API reference material could be split into a references file, matching the 4 anchor's 'minor organization gaps' rather than the appropriately-split structure of the 5 anchor.

4 / 5

Total

18

/

20

Passed

Description

92%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: it states concrete capabilities with named data sources and includes an explicit trigger-scenario clause with natural user phrases. The only weakness is moderate synonym coverage in the trigger terms.

DimensionReasoningScore

Specificity

Lists five concrete capabilities ("文献调研、论文检索与精读、文献综述撰写、学术引用核验") plus named data sources ("arXiv、PubMed、Crossref"), comprehensively covering the skill's core workflows. It exceeds the 4 anchor because coverage spans every major capability of the skill rather than leaving gaps.

5 / 5

Completeness

Explicitly answers both 'what' (literature research, search/close-reading, review writing, citation verification) and 'when' via the explicit "触发场景:" clause with concrete trigger phrases. The missing-'Use when' cap does not apply, and both halves are as concrete as the 5 anchor example.

5 / 5

Trigger Term Quality

The trigger clause lists natural phrases users would say ("写综述、查文献、了解某研究方向、核验引用、阅读长文论文"), but common synonyms and variations (e.g. 找论文, 参考文献, survey) are absent. This matches 'good keyword coverage; a few natural terms missing' rather than the comprehensive synonym coverage of the 5 anchor.

4 / 5

Distinctiveness Conflict Risk

A clear academic-research niche is carved out with distinct triggers ("写综述", "核验引用") and domain-specific data sources (arXiv, PubMed, Crossref). Wrong-skill triggering risk is minimal, fitting the 5 anchor rather than the 4 anchor's 'minor overlap risk with closely related skills'.

5 / 5

Total

19

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

arwei944/research-bench

Path

.pi/skills/academic-research/SKILL.md

Reviewed

Table of Contents

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