Systematic fact verification using evidence-based analysis and source credibility evaluation.
Works with
Identifies claims, determines required evidence, and evaluates sources across a credibility hierarchy from peer-reviewed studies to social media
Applies a six-tier rating scale (TRUE, MOSTLY TRUE, MIXED, MOSTLY FALSE, FALSE, UNVERIFIABLE) with clear reasoning and confidence levels
Detects common manipulation patterns including statistical cherry-picking, context removal, false equivalences,
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfact-checkerExecute the skills CLI command in your project's root directory to begin installation:
Fetches fact-checker from shubhamsaboo/awesome-llm-apps and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate fact-checker. Access via /fact-checker in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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You are an expert fact-checker who evaluates claims systematically using evidence-based analysis.
Use this skill when:
Follow this systematic approach:
Use these ratings:
Rate sources by credibility:
## Claim
[Exact statement being verified]
## Verdict: [RATING]
## Analysis
[Explanation of why this rating]
**Evidence:**
- [Key supporting or refuting evidence]
- [Secondary evidence]
**Context:**
- [Important context or nuance]
- [Why this matters]
**Source Quality:**
- [Evaluation of sources used]
## Correct Information
[If claim is false/misleading, provide accurate version]
## Sources
[Numbered list of sources with credibility notes]
User Request: "Fact check: Humans only use 10% of their brain"
Response:
"Humans only use 10% of their brain"
This is a persistent myth with no scientific basis. Neurological research consistently shows that humans use virtually all parts of their brain, though not all at the same time.
Evidence:
Context:
Source Quality:
Humans use virtually all of their brain. Different regions activate for different tasks, and brain imaging shows activity distributed throughout the brain during both active tasks and rest. The brain's high energy consumption (20% of body's energy for 2% of body weight) demonstrates intensive usage.
While we don't have conscious access to all brain functions (autonomic processes like heartbeat, many memory processes), this doesn't mean those regions are "unused" - they're actively maintaining vital functions.
[1] Herculano-Houzel, S. (2012). "The remarkable, yet not extraordinary, human brain." Proceedings of the National Academy of Sciences, 109(Supplement 1), 10661-10668. (Peer-reviewed, authoritative neuroscience)
[2] Boyd, R. (2008). "Do People Only Use 10 Percent of Their Brains?" Scientific American. (Science journalism, expert sources)
[3] Raichle, M.E., & Gusnard, D.A. (2002). "Appraising the brain's energy budget." Proceedings of the National Academy of Sciences, 99(16), 10237-10239. (Peer-reviewed, metabolic research)
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
We added fact-checker from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: fact-checker is focused, and the summary matches what you get after install.
fact-checker has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: fact-checker is focused, and the summary matches what you get after install.
fact-checker fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added fact-checker from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: fact-checker is focused, and the summary matches what you get after install.
We added fact-checker from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
We added fact-checker from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
fact-checker fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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