Individual skill
_critic
HarnessX Critic (Tier 2.1) — adversarial review of evolved-skill proposals against trace evidence. Detects reward hacking and manifest/evidence contradictions. Out-of-band LLM counterpart to the in-loop deterministic critic in src/evolve/critic.rs.
plugins/epicsagas/epic-harness/skills/_critic/SKILL.md
Source commit d780783eba4ecc7c8b9429f95c9362df95f07c61
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 4, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 1,537
- Repository last updated
- Nov 7, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-coding Repository topic
- awesome Repository topic
- awesome-list Repository topic
- codex Repository topic
- codex-plugins Repository topic
- openai Repository topic
- codex-skill Repository topic
- codex-skills Repository topic
- marketplace Repository topic
- codex-marketplace Repository topic
- engineering Derived category
Files and excerpt
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SKILL.mdcore · 3,326 bytes
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# Critic — Adversarial Proposal Review
> **In-loop vs out-of-band.** epic-harness forbids external LLM calls from
> production, so the reflect loop ships a **deterministic** critic
> (`src/evolve/critic.rs`) that gates seeding when reward hacking is
> suspected. THIS skill is the **out-of-band LLM** version a meta-agent or
> human runs during `/evolve` review for the cases the deterministic check
> cannot catch (non-local effects, manifest/evidence nuance).
## When to Trigger
- During `/evolve` review of newly seeded skills
- When `reward_hacking_suspected` is true in metrics
- After a seesaw-regression round, before re-proposing
