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skillopt-sleep

Use when the user wants Codex to self-improve from past usage, asks about a nightly/offline 'sleep' or 'dream' cycle, wants Codex to review past sessions, learn preferences, consolidate memory/skills, run dry-run/run/adopt/status for SkillOpt-Sleep, or schedule background self-optimization. Drives the skillopt_sleep engine: harvest past sessions -> mine recurring tasks -> replay through a selected backend -> consolidate validated memory + skills behind a held-out gate.

plugins/codex/skills/skillopt-sleep/SKILL.md

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Source commit 01e41dbcdf9ea6e20d6428c152c14178bd1c80f3

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Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
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Skill scan complete
No
Observed behavior
Network or broad shell
Last checked
Nov 5, 2026

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Repository stars (not skill ratings)
18,937
Repository last updated
Nov 5, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

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# SkillOpt-Sleep: usage-driven self-evolution for a local Codex agent

SkillOpt-Sleep gives the user's Codex agent a sleep cycle. On demand or on a
nightly schedule, it reviews past local sessions, re-runs recurring tasks
through the selected backend, and proposes changes to a configured skill and to
the project's `CLAUDE.md`. With the default validation gate enabled, it keeps
only changes that improve a held-out score. Live files change only through
explicit adoption or a user-requested `--auto-adopt`. There is no model-weight
training.

The current shared engine does **not** write `AGENTS.md`. For a Codex-visible
result, always select a Codex skill explicitly with `--target-skill-path` (for
example `.agents/skills/<name>/SKILL.md`). If project `CLAUDE.md` is not a
desired secondary target, set `"evolve_memory": false` in