A well-structured, information-dense skill body that avoids teaching known concepts and gives real code patterns for every common case. The main weaknesses are non-self-contained snippets and an inlined Typesafe/Jev spec section that should be split into a reference file.

Suggestions

Make the code snippets self-contained by showing the necessary `use` statements for `f`, `FieldType`, and `AxSignature` so they are copy-paste executable.

Move the Typesafe/Jev provider policy (thresholds, probability tolerances, balancer behavior) into a dedicated reference file and keep a 3-5 line summary with a pointer in SKILL.md.

Consolidate the duplicate example-location mentions (Package Facts vs. the Typesafe section) into a single, clearly signaled pointer.

Dimension	Reasoning	Score
Conciseness	The body stays lean and assumes Rust competence — all explanation is axllm-specific rather than padding — but there is minor redundancy, e.g. the examples location is stated in Package Facts and again in the Typesafe section.	4 / 5
Actionability	Concrete, syntactically real Rust snippets cover the common cases and point to complete programs under `examples/`, but the snippets are not self-contained: `f()`, `FieldType`, `client`, and `inputs` appear without imports or definitions, so they are adaptable patterns rather than copy-paste-ready code.	4 / 5
Workflow Clarity	A clear progression from Core Pattern to advanced patterns with selection guidance ("Use the string form when field names and types are enough") and decision rules in Guardrails; the minor gap is no explicit decision tree for choosing between the string and builder forms.	4 / 5
Progressive Disclosure	Sections are well organized with one-level-deep pointers to `examples/`, `API.md`, and the gallery URL, but the dense ~30-line Typesafe/Jev policy section is spec detail inlined in SKILL.md that belongs in a separate reference file, and the referenced files are not present in the bundle to verify.	4 / 5
	Total	16 / 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 description: an explicit 'Use when' trigger clause combined with a concrete list of capability areas and a distinctive package-name scoping. Main gap is a few missing natural synonyms for schema/typed-output work.

Dimension	Reasoning	Score
Specificity	Lists several concrete capabilities ("string signatures", "field descriptors", "JSON schema output", "typed tool argument shapes"), but "validation" is generic and the items are capability nouns without distinct actions, so coverage has minor gaps rather than being comprehensive.	4 / 5
Completeness	"Use when writing Rust code with `axllm` for..." explicitly answers both when (the Use when clause with concrete triggers) and what (the enumerated signature/schema/validation/tool capabilities).	5 / 5
Trigger Term Quality	Natural terms like "Rust", "axllm", "signatures", "JSON schema", and "tool arguments" match what a user of this package would say, but common variations such as "structured output", "output schema", or "typed outputs" are missing.	4 / 5
Distinctiveness Conflict Risk	Pinning both the language ("Rust") and the package name ("axllm") gives a clear niche; it is unlikely to fire for unrelated signature or schema skills.	5 / 5
	Total	18 / 20 Passed

Validation

93%

Warnings & errors only

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

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: ax-llm/ax
Path: website/static/rust/.well-known/agent-skills/ax-rust-signature/SKILL.md
Commit: 3f630a0

Reviewed: 3 days ago

Table of Contents

Discovery Implementation Validation

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