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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.

70

Quality

85%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

82%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A highly actionable, well-structured body with executable commands across platforms and an explicit validation gate for destructive adoption. It could be slightly leaner and would benefit from splitting some reference material into bundle files.

Suggestions

Trim low-value prose such as 'There is no model-weight training.' and consolidate the repeated held-out-gain caveats into one place to improve conciseness.

Move the 'All backends', 'Additional flags', and 'Config keys' reference material into one-level-deep bundle files (e.g. references/backends.md, references/config.md) signaled from the body to improve progressive disclosure.

Reframe the 'Steps' section as an explicit validate->fix->retry loop for the adoption path to push workflow clarity to a 5.

DimensionReasoningScore

Conciseness

Mostly efficient actionable content (commands, flags, config keys, hard rules), with minor over-explanation that could be trimmed such as 'There is no model-weight training.' and repeated hedging about held-out gains.

4 / 5

Actionability

Fully executable, copy-paste-ready bash/CMD/PowerShell commands, a flags table, concrete config keys, and validation commands covering the common cases.

5 / 5

Workflow Clarity

Clear seven-step cycle with an explicit Gate validation step plus a numbered Steps section requiring validation evidence before adoption; the destructive/batch adoption path is gated, though the main Steps list reads more as a checklist than a validate->fix->retry loop.

4 / 5

Progressive Disclosure

Well-organized into clear sections with no nested references, but no bundle files exist and all content is inlined in a ~180-line file that could split the backend list, flags, and config keys into one-level-deep references.

4 / 5

Total

17

/

20

Passed

Description

87%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, specific description that explicitly covers both what the skill does and when to use it, with concrete trigger phrases and a distinct niche. Minor room to improve keyword naturalness and remove technical jargon from the trigger list.

DimensionReasoningScore

Specificity

Lists several concrete pipeline actions ('harvest past sessions -> mine recurring tasks -> replay through a selected backend -> consolidate validated memory + skills'), though 'behind a held-out gate' and 'selected backend' leave minor coverage gaps.

4 / 5

Completeness

Explicitly answers both halves: 'Use when the user wants...' gives concrete triggers (when), and 'Drives the skillopt_sleep engine: harvest... -> ... consolidate...' states the what.

5 / 5

Trigger Term Quality

Good coverage of natural terms ('self-improve from past usage', "nightly/offline 'sleep' or 'dream' cycle", 'review past sessions', 'consolidate memory/skills') with synonyms, but mixes in technical jargon like 'dry-run/run/adopt/status' that users would less naturally say.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (a Codex sleep/self-evolution cycle) with distinct triggers ('sleep'/'dream' cycle, SkillOpt-Sleep, harvest/mine/replay) and minimal overlap with other skills.

5 / 5

Total

18

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
microsoft/SkillOpt
Reviewed

Table of Contents

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