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fact-checker

Verifies factual claims in documents using web search and official sources, then proposes corrections with user confirmation. Use when the user asks to fact-check, verify information, validate claims, check accuracy, or update outdated information in documents. Supports AI model specs, technical documentation, statistics, and general factual statements.

68

Quality

82%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

73%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 a well-structured, actionable fact-checking workflow with strong sequencing and explicit validation. Its main weakness is conciseness: several sections explain concepts or restate obvious distinctions that Claude already knows.

Suggestions

Trim the 'Skip subjective content' list and good/poor query examples, which restate distinctions Claude can infer, to reduce token cost.

Condense the full correction-report markdown template to a compact schema plus one short example rather than two fully worked issues.

Move the lengthy Examples section (three worked processes) into a separate references file and link to it, keeping the core workflow lean.

DimensionReasoningScore

Conciseness

Mostly efficient with a clear workflow, but includes some content Claude already knows (e.g., categorizing 'opinions' vs 'tutorial instructions', and lengthy good/poor query lists) that could be tightened.

3 / 5

Actionability

Provides concrete templates (comparison table, correction report), executable Edit-tool usage, and specific query examples, with only minor gaps where guidance stays slightly abstract.

4 / 5

Workflow Clarity

A clearly sequenced 5-step workflow with an explicit validation checkpoint (user approval before edits) and a post-edit verification step; the destructive/batch cap does not apply because validation is present.

5 / 5

Progressive Disclosure

Well-organized into clear sections with one-level references; no bundle files exist, and most content is appropriately inline, though the full report template and examples could optionally be split out.

4 / 5

Total

16

/

20

Passed

Description

91%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, gives explicit and natural trigger phrases, and answers both what and when clearly. Minor room to tighten the 'documents' scope for slightly stronger distinctiveness.

DimensionReasoningScore

Specificity

Lists several specific actions ('Verifies factual claims', 'using web search and official sources', 'proposes corrections with user confirmation') plus target domains, with only minor gaps in enumerating the full correction workflow.

4 / 5

Completeness

Clearly answers both 'what' (verifies claims via web search and proposes corrections with confirmation) and 'when' with concrete 'Use when...' trigger phrases.

5 / 5

Trigger Term Quality

Comprehensive coverage of natural terms and synonyms users would actually say: 'fact-check, verify information, validate claims, check accuracy, or update outdated information'.

5 / 5

Distinctiveness Conflict Risk

Clear fact-checking niche with distinct triggers and minimal conflict risk; the broad 'documents' scope leaves minor overlap with related writing/editing skills.

4 / 5

Total

18

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
daymade/claude-code-skills
Reviewed

Table of Contents

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