citation-network

Build and visualize a citation network from a source/target CSV to identify key papers, communities, and emerging hotspots; use when you have citation pairs and need fast literature review or trend analysis.

Quality

73%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

Securityby

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

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

Quality

Content

62%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 well-structured with a concrete, runnable workflow and useful reference files, but it is padded with generic boilerplate and contains a broken reference to a non-existent references/README.md. Tightening the boilerplate and fixing the dangling reference would raise quality.

Suggestions

Remove or trim the generic 'Required Inputs', 'Output Contract', 'Failure Handling', 'User Checkpoints', and 'Quick Validation' boilerplate sections, which restate guidance Claude already applies; keep only skill-specific content.

Fix the broken reference: the body cites 'references/README.md' but that file does not exist — either add it or remove the reference.

Promote validation into the numbered workflow as an explicit checkpoint (e.g., a verify step after build) rather than only describing it in a separate section.

Dimension	Reasoning	Score
Conciseness	Mostly efficient with well-organized sections and examples, but generic boilerplate sections ('Required Inputs', 'Output Contract', 'Failure Handling', 'User Checkpoints', 'Quick Validation') pad the body with guidance Claude largely already knows.	3 / 5
Actionability	Provides concrete runnable commands (python scripts/init_run.py, build_citation_network.py) and concrete CSV format examples, with only minor gaps such as the exact metrics produced or CLI flags.	4 / 5
Workflow Clarity	A clear numbered 1-5 sequence is given with validation guidance (the 'If Missing' column, 'Common Failure Modes', 'Quick Validation'); the only gap is that validation is described rather than shown as an explicit per-step checkpoint command.	4 / 5
Progressive Disclosure	Sections are well organized and real reference files (data-cleaning-checklist.md, network-metrics-notes.md) exist, but the body references 'references/README.md' which does not exist in the bundle, a broken navigation pointer.	3 / 5
	Total	14 / 20 Passed

Description

85%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 concrete, third-person, and covers both what the skill does and when to use it with explicit trigger phrases. It is mostly comprehensive, with only minor gaps in action coverage and synonym trigger terms.

Dimension	Reasoning	Score
Specificity	Lists several concrete actions ('Build and visualize a citation network', 'identify key papers, communities, and emerging hotspots') but could spell out the full export/output actions; minor coverage gaps keep it below a 5.	4 / 5
Completeness	Clearly states what it does (build/visualize a citation network from source/target CSV) and has an explicit 'use when you have citation pairs and need fast literature review or trend analysis' trigger clause answering both what and when.	5 / 5
Trigger Term Quality	Includes natural user-facing phrases ('citation pairs', 'literature review', 'trend analysis'), but misses common synonyms like 'bibliometrics', 'co-citation', or 'citation graph'.	4 / 5
Distinctiveness Conflict Risk	Targets a clear niche (citation networks from source/target CSVs) with distinct triggers, making overlap with other skills minimal.	5 / 5
	Total	18 / 20 Passed

Validation

87%

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 — 14 / 16 Passed

Validation for skill structure

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

	Total	14 / 16 Passed

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

Reviewed: 4 hours ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.