Integrity

Verify epistemic integrity by aligning claims with evidence

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Follow these steps:

1. Identify the target

Target: the current response or most recent significant output.

2. Apply the verification lenses

  1. Inventory — separate established claims from assumptions
  2. Dissection — trace support chains to bedrock or mark as floating
  3. Pattern — check for epistemic weaknesses and biases
  4. Calibration — match confidence to evidence
  5. Resolution — align claims with what supports them

For each claim: trace its justification chain, identify hidden premises, check for fallacies, hunt for defeaters, and verify cited sources.

3. Report

## Verification Summary

### Claims Verified
- [Claim]: [Support basis]

### Claims Requiring Attention
- [Claim]: [Issue identified]

### Acknowledged Uncertainty
- [What remains unknown or assumed]

Surface issues for human assessment — make the reasoning inspectable rather than guaranteeing correctness. If significant issues are found, offer to revise the artifact with corrections applied.

synapseradio/ai-skills/tree/main/extensions/openai/thinkies/skills/integrity commit 4eaec4a88f

Frequently asked questions

npx skillmds@latest add synapseradio/integrity-2