lyndonkl/claude/claim-extractor
Trust tier 3
- community
Source check pending
Checking that the SKILL.md file is still in the repository.
Extracts atomic technical claims from a substacker essay draft, converting flowing intuition-first prose into a numbered list where each item is a statement that could in principle be verified or falsified. Skips non-technical sections (personal anecdote, motivation, call-to-action). Use when the Technical Reviewer starts a per-draft review. Trigger keywords — extract claims, atomic claims, technical claim list, fact-check prep.
Install
npx vskill@latest install lyndonkl/claude/claim-extractorSKILL.md
Claim Extractor
Workflow
Non-claim content (skip)
- Personal anecdotes without technical assertion
- Motivation / framing
- Calls to action
- Closing maxims (unless they assert a technical fact)
Worked example
Draft paragraph:
Attention is O(n²). This is why context windows are expensive. Each token looks at every other token, and the matrix is n-by-n.
Extraction:
- "Attention is O(n²) in compute and memory in a naive implementation." [§2 ¶1]
- "Context windows are expensive because of attention's complexity." [§2 ¶1]
- "Each token attends to every other token via an n-by-n matrix." [§2 ¶1]
Guardrails
- Never paraphrase aggressively. Preserve the writer's hedges.
- Excerpts ≤200 chars verbatim.
- Coalesce adjacent claims only if they argue the same thing.
- Respect
[contrarian]annotations — still extract the claim, but flag it forclassify-claimto treat specially. - Don't extract claims from code blocks or quoted text.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/claim-extractor/SKILL.md
Popularity
- Repository stars
- 147
- Repository forks
- 22
- 7-day trend score
- 25
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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