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meta-optimize

Analyze ARIS usage logs and propose optimizations to SKILL.md files, reviewer prompts, and workflow defaults. Outer-loop harness optimization inspired by Meta-Harness (Lee et al., 2026). Use when user says "优化技能", "meta optimize", "improve skills", "分析使用记录", or wants to optimize ARIS's own harness components based on accumulated experience.

65

Quality

80%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

66%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 thorough, well-sequenced workflow with strong executable examples and clear validation gates, but it is padded by repeated restatements of the read-only boundary and internal roadmap hedging that hurt token efficiency.

Suggestions

State the propose-don't-land / read-only boundary once in the Privilege Boundary section and reference it from Step 6 and Key Rules instead of restating it verbatim each time.

Move the large codex review prompt template (Step 4) and the Event Schema Reference block into separate reference files (e.g. references/codex-review-prompt.md, references/event-schema.md) and link to them, tightening the body.

Trim internal-roadmap hedging ("not yet built", "brick-3 trigger", deferred verifier) from the Privilege Boundary section — keep the operational rule, drop the build-status commentary.

DimensionReasoningScore

Conciseness

The propose-don't-land boundary is restated 4+ times (privilege section, Step 6, Key Rules, closing line) and the privilege section pads with internal roadmap detail ("not yet built", "brick-3 trigger", deferred verifier), making it noticeably verbose rather than merely tighten-able.

2 / 5

Actionability

Provides copy-paste bash (Step 0), python (Step 1.5), diff examples, and concrete manifest/event-schema formats, but Step 1's analyses are described as bullet questions rather than executable commands and the codex review prompt uses [paste …] placeholders, leaving minor gaps.

4 / 5

Workflow Clarity

Steps 0–6 are explicitly sequenced with validation checkpoints (data-availability exit, cross-model review gate, human-gated staging) and feedback loops; the skill is read-only so the destructive-operation cap does not apply.

5 / 5

Progressive Disclosure

Section structure is good and cross-references (meta-apply, shared-references, templates, tools) are one-level-deep and clearly signaled; the gap is a long monolithic body that inlines the large codex prompt template and event schema that could live in separate reference files, and no in-skill bundle files exist.

4 / 5

Total

15

/

20

Passed

Description

95%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, third-person description that clearly states capability and trigger conditions with concrete natural phrases in two languages. The only soft spot is a touch of abstract framing (the Meta-Harness citation) that does not add a concrete action.

DimensionReasoningScore

Specificity

Names the domain and several concrete optimization targets ("SKILL.md files, reviewer prompts, and workflow defaults"), but the "Outer-loop harness optimization inspired by Meta-Harness" framing is abstract citation rather than an additional concrete action, keeping it just below a 5.

4 / 5

Completeness

It explicitly answers both what ("Analyze ARIS usage logs and propose optimizations…") and when ("Use when user says…") with concrete trigger phrases, hitting the top anchor.

5 / 5

Trigger Term Quality

The "Use when user says" clause lists multiple natural trigger phrases ("优化技能", "meta optimize", "improve skills", "分析使用记录") with synonyms across two languages, matching the comprehensive-coverage anchor.

5 / 5

Distinctiveness Conflict Risk

It carves a clear niche (ARIS self-harness optimization) with highly specific, unlikely-to-collide triggers including the Chinese phrases, so conflict risk with other skills is minimal.

5 / 5

Total

19

/

20

Passed

Validation

81%

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

Validation13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

relative_links

Relative link issues: 9 suspicious

Warning

Total

13

/

16

Passed

Repository
wanshuiyin/Auto-claude-code-research-in-sleep
Reviewed

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