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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.

Quality

81%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

73%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.

The body is a well-sequenced, highly actionable maintenance workflow with explicit validation gates and clearly signaled one-level references. Its main weakness is token efficiency: the no-apply privilege boundary is argued in at least four places and several hedging asides inflate length without adding instruction.

Suggestions

State the read-only-producer boundary once in its dedicated section and reduce the intro blockquote, Step 4, Step 6, and Key Rules repetitions to one-line pointers back to it.

Move the full Step-4 codex reviewer prompt template and the Event Schema Reference into shared-reference files, keeping short inline pointers, to cut the main file toward an overview length.

Tighten hedging asides (e.g. "be honest about the layers", "over-built for a not-yet-load-bearing producer, so deferred…") into single directive sentences such as "Bash writes are blacklist-filtered, not sandboxed; deliberate writes are detected only by the future integrity verifier — track it before this producer goes load-bearing."

DimensionReasoningScore

Conciseness

The content is domain-specific and non-obvious (event schemas, gating rules, tool paths), but the privilege boundary ("meta-optimize proposes; it does not land", "Never apply in this skill") is restated in the intro blockquote, its own section, Step 4, Step 6, and Key Rules, and hedging asides ("be honest about the layers", "over-built for a not-yet-load-bearing producer") could be tightened to single directives. Not 2 because it never explains concepts Claude already knows; not 4 because the repetition exceeds minor trimmable instances.

3 / 5

Actionability

Step 0's bash snippet, the Step-1.5 python ledger writer, the concrete trigger_eval.py invocation, and the diff/report templates are executable and copy-paste ready. Not 5 because Step 1's analyses (frequency, failure, convergence) are prose-only with no commands, and the reviewer prompt is a placeholder template rather than a runnable call.

4 / 5

Workflow Clarity

Steps 0–6 are explicitly sequenced with validation checkpoints and feedback loops: exit gates on insufficient data (<5 invocations), reviewer scores with "If score < 7, explain what additional evidence would be needed", ✅/⚠️/❌ status markers, a "Changes NOT Made (insufficient evidence)" section, and append-only ledger discipline. Not 4 because checkpoints are explicit throughout rather than minor-gapped.

5 / 5

Progressive Disclosure

References are clearly signaled and one level deep (../shared-references/*.md, ../meta-apply/SKILL.md, tools/meta_opt/trigger_eval.py, templates/claude-hooks/*.json) over a well-sectioned body. Not 5 because the full Step-4 reviewer prompt template and the Event Schema Reference are inlined in a ~450-line file where reference files would keep the overview lean; not 3 because the references that do exist are clearly signaled and content is well organized.

4 / 5

Total

16

/

20

Passed

Description

83%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.

The description is strong: concrete actions, an explicit bilingual 'Use when' trigger clause, and a clearly staked-out niche (ARIS harness self-optimization, not research artifacts). Its only weakness is that the generic "improve skills" trigger and missing synonym coverage leave slight overlap/trigger-coverage gaps.

DimensionReasoningScore

Specificity

"Analyze ARIS usage logs and propose optimizations to SKILL.md files, reviewer prompts, and workflow defaults" names the domain and several concrete actions/targets. It falls short of 5 because harness components the skill actually optimizes (convergence rules, workflow ordering) are not mentioned, and exceeds 3 because it lists several specific actions, not just one or two.

4 / 5

Completeness

It explicitly answers both: the "what" ("Analyze ARIS usage logs and propose optimizations to SKILL.md files, reviewer prompts, and workflow defaults") and the "when" ("Use when user says 'meta optimize', 'improve skills', …") with concrete trigger phrases, matching the 5 anchor.

5 / 5

Trigger Term Quality

"meta optimize", "improve skills", "优化技能", and "分析使用记录" are natural phrases a user would actually say. Not 5 because common variations like "optimize skills", "tune the harness", or "skill optimization" are missing; not 3 because the keywords present are relevant and natural rather than generic.

4 / 5

Distinctiveness Conflict Risk

"optimize ARIS's own harness components" carves a clear maintenance niche distinct from research-workflow skills. Minor overlap risk remains because "improve skills" alone is generic enough to match a user asking about improving their own skills, keeping it just below the 5 anchor.

4 / 5

Total

17

/

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.

Validation — 13 / 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: 10 suspicious

Warning

Total

13

/

16

Passed

Repository

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

Path

skills/meta-optimize/SKILL.md

Reviewed

Table of Contents

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