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ax-rust-agent-optimize

Use when writing Rust code with `axllm` for agent optimization, verified agent-playbook evolution, evaluators, judges, optimizer artifacts, BootstrapFewShot, and GEPA.

70

Quality

86%

Does it follow best practices?

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SKILL.md
Quality
Evals
Security

Quality

Content

72%Weight 40%Scale 1-3

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

A compact, well-organized body that respects token budget and points to the right API surface and guardrails. Its main gaps are a not-copy-paste-ready code example and implicit rather than explicit validation checkpoints in the optimization workflow.

Suggestions

Make the Core Pattern snippet more executable: show how reflection_client/options/evaluator are constructed, or include a minimal runnable example (e.g., a no-key scripted transport) so it is copy-paste ready.

Add an explicit validate→fix→retry feedback loop for the optimization workflow, including how to act when a playbook proposal fails the verification gate.

Briefly note how to locate and open the referenced package artifacts (API.md / examples/) so the references are clearly signaled as navigation rather than assumptions.

DimensionReasoningScore

Conciseness

Lean and assumes Claude's competence — terse facts like 'Real network support: yes' with no concept explanations or padding; every line earns its place.

3 / 3

Actionability

Provides real Rust syntax in the Core Pattern and a concrete API-surface list, but the snippet uses placeholder variables (reflection_client, options, request, evaluator) and is not copy-paste ready, matching the 'some concrete guidance but incomplete' anchor.

2 / 3

Workflow Clarity

'When To Use' and 'Core Pattern' give a sequence and a verification-gate concept is mentioned, but explicit validate→fix→retry checkpoints are only implicit; for batch optimization operations the rubric caps this at 2 when feedback loops are missing.

2 / 3

Progressive Disclosure

Under 50 lines with well-organized, clearly labeled sections and single-level references to package artifacts (API.md, examples/) — no deep nesting; the simple-skill scoring note allows a 3 here.

3 / 3

Total

10

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12

Passed

Description

100%Weight 40%Scale 1-3

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 description: concise, third-person, with an explicit 'Use when' trigger and a distinctive, specific capability list tied to the axllm package. It clearly answers both what the skill does and when to use it without padding.

DimensionReasoningScore

Specificity

Names multiple concrete capabilities — 'agent optimization', 'verified agent-playbook evolution', 'evaluators, judges', 'optimizer artifacts', 'BootstrapFewShot', and 'GEPA' — matching the anchor for listing several specific actions rather than vague language.

3 / 3

Completeness

An explicit 'Use when...' clause supplies the trigger, while the listed capabilities answer 'what does this do'; both what and when are present and explicit, so it is not capped at 2.

3 / 3

Trigger Term Quality

Leads with the natural trigger 'writing Rust code with `axllm`' and covers terms a user would actually say ('agent optimization', 'GEPA', 'BootstrapFewShot', 'evaluators'), giving good keyword coverage.

3 / 3

Distinctiveness Conflict Risk

Tightly bound to the specific generated package `axllm` and niche optimizer techniques (GEPA, BootstrapFewShot, verified playbook evolution), making it unlikely to trigger for unrelated skills.

3 / 3

Total

12

/

12

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
ax-llm/ax
Reviewed

Table of Contents

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