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ax-java-agent-optimize

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

63

Quality

75%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./packages/java/skills/ax-java-agent-optimize/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

65%

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

A concise, well-structured overview that assumes Claude's competence, but the core code example is not fully executable and the optimization workflow lacks explicit validation checkpoints; referenced detail files are not present in the bundle.

Suggestions

Make the Core Pattern example self-contained by showing how `reflectionClient`, `request`, and `evaluator` are constructed, or label it as illustrative and point to a runnable example in `examples/`.

Add an explicit optimize→evaluate→verify→iterate sequence with a validation checkpoint (e.g., only keep playbook proposals that pass the verification gate) so the workflow is sequenced rather than implied.

Either provide the referenced `API.md`, `axir-api.json`, `axir-capabilities.json`, and `examples/` as real bundle files and link to them with markdown link syntax, or remove the dangling references.

DimensionReasoningScore

Conciseness

The body is lean — terse package facts, one code snippet, API surface, and guardrails — with no padding or explanation of concepts Claude already knows.

3 / 3

Actionability

The Core Pattern shows concrete Java but uses undefined `reflectionClient`, `request`, and `evaluator` variables, so it is not copy-paste executable and stops short of fully complete guidance.

2 / 3

Workflow Clarity

"When To Use" lists tasks and mentions a "verification gate", but there is no sequenced multi-step workflow with explicit validation checkpoints or a fix→retry feedback loop.

2 / 3

Progressive Disclosure

Sections are organized and reference `API.md`, `axir-api.json`, `axir-capabilities.json`, and `examples/` one level deep, but the references are plain backticks rather than clearly signaled links and none of these bundle files actually exist in the skill directory.

2 / 3

Total

9

/

12

Passed

Description

85%

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, explicit-trigger description with a clear niche and concrete capability list. Its main weakness is jargon-heavy trigger terms that users are unlikely to voice naturally.

DimensionReasoningScore

Specificity

Lists multiple concrete capabilities — "agent optimization, verified agent-playbook evolution, evaluators, judges, optimizer artifacts, BootstrapFewShot, and GEPA" — each naming a distinct feature rather than vague actions.

3 / 3

Completeness

An explicit "Use when writing Java code with `dev.axllm:ax` for agent optimization..." clause answers both what the skill does and when to invoke it.

3 / 3

Trigger Term Quality

"writing Java code" and "agent optimization" are natural, but "verified agent-playbook evolution", "BootstrapFewShot", and "GEPA" are technical jargon a user would rarely say verbatim, so coverage is partial.

2 / 3

Distinctiveness Conflict Risk

The package-scoped trigger ("`dev.axllm:ax`" Java agent optimization) carves a clear niche unlikely to fire for unrelated skills.

3 / 3

Total

11

/

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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