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, identify influential papers, and discover hidden connections in scientific literature. Supports systematic reviews, bibliometric analysis, and research planning through comprehensive citation tracking.
83
Quality
78%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/Evidence insights/citation-chasing-mapping/SKILL.mdQuality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a strong skill description that clearly articulates specific capabilities in citation network analysis and provides explicit 'Use when' triggers at the beginning. It uses appropriate third-person voice throughout and includes domain-specific terminology that users researching academic literature would naturally use. The description effectively distinguishes itself from general research or document processing skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'mapping research lineage', 'discovering related work through reference tracking', 'finding potential collaborators through co-citation analysis', 'trace research evolution', 'identify influential papers', 'discover hidden connections'. | 3 / 3 |
Completeness | Explicitly answers both what ('Maps citation networks to trace research evolution, identify influential papers') AND when ('Use when identifying seminal papers', 'mapping research lineage', 'finding potential collaborators') with clear trigger guidance at the start. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'seminal papers', 'research field', 'citation networks', 'systematic reviews', 'bibliometric analysis', 'co-citation', 'scientific literature', 'collaborators', 'reference tracking'. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche focused on citation analysis and bibliometrics with distinct triggers like 'citation networks', 'co-citation analysis', 'bibliometric analysis' that are unlikely to conflict with general research or document skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
57%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides a reasonable structure for citation network mapping with concrete code examples and good progressive disclosure. However, it suffers from unclear actionability (is this a real library or custom code?), missing validation steps for what is inherently a multi-step data collection process, and some unnecessary boilerplate content like the generic quality checklist.
Suggestions
Clarify whether CitationNetworkMapper is a real package (with installation instructions) or custom code (with implementation details or link to the actual scripts)
Add validation checkpoints for the network building process, such as verifying API rate limits, checking for incomplete data, and validating network connectivity before analysis
Remove or customize the generic 'Quality Checklist' section - replace with citation-network-specific validation like 'Verify seed papers have sufficient citations' or 'Check for missing references due to API limits'
Add error handling examples for common issues like API timeouts, missing paper metadata, or disconnected network components
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is reasonably efficient but includes some unnecessary elements like the generic 'Quality Checklist' section that adds no value specific to citation mapping, and the 'When to Use This Skill' section largely duplicates the description. The code examples are good but could be tighter. | 2 / 3 |
Actionability | Provides concrete code examples with specific function calls and parameters, but the code appears to reference a hypothetical library (CitationNetworkMapper) without clarifying if this is a real package or custom code. The import paths suggest custom scripts but no installation or setup instructions are provided. | 2 / 3 |
Workflow Clarity | The skill shows a logical sequence (build network → identify seminal works → find clusters → visualize), but lacks validation checkpoints. No error handling, rate limiting considerations for API calls, or verification steps for network completeness are mentioned despite this being a multi-step data collection process. | 2 / 3 |
Progressive Disclosure | Good structure with Quick Start followed by Core Capabilities sections, and clear references to external documentation (guide.md, examples/, api-docs/). Content is appropriately organized with one-level-deep references. | 3 / 3 |
Total | 9 / 12 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 — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Repository
- aipoch/medical-research-skills
- Commit
ca9aaa4
- Reviewed
Table of Contents
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