CtrlK
BlogDocsLog inGet started
Tessl Logo

ax-rust-agent-observability

Use when writing Rust code with `axllm` for agent tracing, centralized and multi-tenant usage accounting, action logs, runtime diagnostics, replay, and production debugging.

64

Quality

78%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./packages/rust/skills/ax-rust-agent-observability/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

71%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.

An efficient, fact-dense reference skill that excels at token economy and concrete API guidance, but it is structured as an inline reference rather than a navigational overview pointing into bundled detail files, and it lacks explicit workflow sequencing with validation checkpoints.

Suggestions

Move the long 'Relevant API Surface' symbol list into API.md and replace it with a one-line pointer, so SKILL.md stays an overview.

Add a short sequenced workflow with validation checkpoints for observer registration (e.g., register -> enqueue in bounded queue -> clear on teardown/shutdown) rather than only bullet guidance.

Make references navigational and clearly signaled (e.g., 'For all methods, see [API.md](API.md)') instead of listing them as bare package facts.

DimensionReasoningScore

Conciseness

Lean, dense reference material with no padding or explanation of concepts Claude already knows; every line delivers API facts, constraints, or guidance.

5 / 5

Actionability

Provides executable Rust snippets and concrete API symbols, but the usage-observer callback example omits imports/types and the surface list is descriptive rather than fully copy-paste runnable.

4 / 5

Workflow Clarity

The skill is reference-oriented with no destructive/batch workflow, but it lacks explicit sequenced steps or validation checkpoints for actions like observer registration/teardown; the cap for missing validation guidance holds it at the midpoint.

3 / 5

Progressive Disclosure

Well-sectioned but the large inline 'Relevant API Surface' symbol list arguably belongs in the API docs/API.md rather than SKILL.md, and references to API.md/axir-api.json/examples/ are listed as facts rather than clearly signaled navigational pointers; no bundle directories exist to confirm the structure.

3 / 5

Total

15

/

20

Passed

Description

85%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, well-scoped description that names concrete capabilities, includes an explicit 'Use when' trigger, and targets a distinct niche. It is slightly jargon-heavy, which keeps trigger term quality and specificity just below the top anchor.

DimensionReasoningScore

Specificity

Lists several concrete actions ('agent tracing, centralized and multi-tenant usage accounting, action logs, runtime diagnostics, replay, and production debugging'), with only minor coverage gaps around specifics of each action.

4 / 5

Completeness

Explicitly answers both what ('writing Rust code with axllm for ...') and when ('Use when ...'), satisfying the 'Use when' trigger requirement with concrete trigger phrases.

5 / 5

Trigger Term Quality

Includes natural trigger phrases users would say ('tracing', 'usage accounting', 'action logs', 'production debugging'), though it leans on technical jargon ('axllm', 'multi-tenant') and misses some common synonyms.

4 / 5

Distinctiveness Conflict Risk

Scoped to a clear niche (Rust + axllm observability) with distinct triggers, making conflict with unrelated skills minimal.

5 / 5

Total

18

/

20

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

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.