citation-chasing-mapping

Use when identifying seminal papers in a research field, mapping research lineage and intellectual heritage, discovering related work through reference tracking, or finding potential collaborators through co-citation analysis. Maps citation networks to trace research evolution...

Quality

63%

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Securityby

Low

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tessl review fix ./scientific-skills/Evidence Insight/citation-chasing-mapping/SKILL.md

Quality

Content

38%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.

The body is severely padded with a description repeated verbatim multiple times and generic template sections, while the code and reference paths point to files that are not bundled. Workflow steps lack validation checkpoints for the batch citation operations the skill performs.

Suggestions

Remove the three verbatim repetitions of the description and drop the generic template sections (Output Requirements, Response Template, Quality Checklist, Implementation Details) that add no skill-specific value.

Provide the actual scripts/main.py and scripts/citation_mapper.py bundle files, or replace the fabricated imports and method calls with real, executable entry points.

Add explicit validation/feedback-loop steps (e.g., verify retrieved citations, check network completeness before centrality analysis, handle API rate limits) to the Workflow for these batch citation-network operations.

Dimension	Reasoning	Score
Conciseness	The full description text is pasted verbatim three times (When to Use, Key Features), and the body is padded with generic template boilerplate (Output Requirements, Response Template, Quality Checklist, Implementation Details) that explains concepts Claude already knows.	2 / 5
Actionability	Concrete-looking API examples appear (build_network, identify_seminal_works, visualize_network) and a CLI invocation is shown, but the referenced scripts/main.py and scripts.citation_mapper modules do not exist in the bundle, so the code is illustrative rather than copy-paste executable.	3 / 5
Workflow Clarity	A numbered Workflow sequence exists plus a py_compile pre-check, but the core citation-network operations are batch processes with no validation or feedback-loop checkpoints, capping this dimension at 3.	3 / 5
Progressive Disclosure	The body references references/guide.md, references/examples/, references/api-docs/, references/audit-reference.md and scripts/main.py, but none of these bundle files exist, so the navigation is broken and large API-example blocks are inlined instead of separated.	2 / 5
	Total	10 / 20 Passed

Description

88%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.

The description is strong: it states concrete capabilities, includes explicit 'Use when' triggers, and carves out a clear citation-network niche in third-person voice. Keyword coverage is good but not exhaustive of all natural synonyms a user might utter.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete, domain-specific actions — 'identifying seminal papers,' 'mapping research lineage,' 'discovering related work through reference tracking,' 'finding collaborators through co-citation analysis,' 'trace research evolution,' 'identify influential papers,' 'discover hidden connections' — with comprehensive coverage of the citation-mapping domain.	5 / 5
Completeness	Explicitly answers both 'what' ('Maps citation networks to trace research evolution, identify influential papers... Supports systematic reviews, bibliometric analysis, and research planning') and 'when' ('Use when identifying seminal papers... or finding potential collaborators through co-citation analysis') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Strong natural academic phrasing ('seminal papers,' 'research lineage,' 'related work,' 'reference tracking,' 'co-citation analysis,' 'systematic reviews,' 'bibliometric'), but lacks file-extension triggers and a few common lay phrasings like 'find papers that cite X', so it stops short of fully comprehensive coverage.	4 / 5
Distinctiveness Conflict Risk	The citation-network niche is specific with distinct triggers (co-citation analysis, seminal papers, research lineage), giving low conflict risk; minor overlap remains with broader literature-review or bibliometric skills rather than a wholly unique trigger surface.	4 / 5
	Total	18 / 20 Passed

Validation

81%

Warnings & errors only

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

Validation — 13 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning
relative_links	Relative link issues: 1 missing	Warning
referenced_paths_exist	Referenced path issues: 15 missing	Warning

	Total	13 / 16 Passed

Repository: aipoch/medical-research-skills
Path: scientific-skills/Evidence Insight/citation-chasing-mapping/SKILL.md
Commit: 63c61d3

Reviewed: 3 hours ago

Table of Contents

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