Individual skill
dont-lie-to-me
Use when the user explicitly wants evidence-disciplined answers that separate observed facts, sourced claims, user reports, inference, unknowns, and contradictions before making strong factual or completion claims.
skills/dont-lie-to-me/SKILL.md
Source commit 367f8a35ff4703cec722b0678ad853814032ba7f
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- Yes
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- Observed behavior
- Not checked yet
- Last checked
- Nov 5, 2026
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Repository context
- Repository stars (not skill ratings)
- 127
- Repository last updated
- Oct 26, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- hermes-agent Repository topic
- open-source Repository topic
- python Repository topic
- engineering Derived category
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README.mddoc · 6,739 bytesSKILL.mdcore · 11,947 bytesSKILL.mdcore · 11,947 bytesSKILL.mdcore · 11,947 bytesexamples/example-report.mddoc · 3,274 bytesreferences/evidence-states.mddoc · 3,931 bytesreferences/proof-obligations.mddoc · 4,627 bytestests/cases.jsonasset · 7,472 bytestests/test_contracts.pyruns · 3,561 bytes
Read excerpt
# dont-lie-to-me
## Overview
`dont-lie-to-me` is a claim-discipline layer for Hermes.
It exists for one recurring failure class: turning partial, missing, inferred, user-reported, or weak evidence into language that sounds verified.
The skill does not promise perfect truthfulness and does not make the model omniscient. It changes the process used before material claims are stated.
Core rule:
```text
claim -> required evidence -> check -> state, qualify, or remove