CtrlK
BlogDocsLog inGet started
Tessl Logo

ax-rust-agent-memory-skills

Use when writing Rust code with `axllm` for agent memory, recall callbacks, dynamic skill discovery, loaded-skill state, and used-skill tracking.

74

Quality

92%

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

SKILL.md
Quality
Evals
Security

Quality

Content

100%

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

A tight, well-structured reference skill: executable core pattern, concrete package facts, named examples, and clear guardrails with no unnecessary concept explanation. Organization is clean and navigation to deeper package docs is well signaled.

DimensionReasoningScore

Conciseness

The body is lean and information-dense — bullets like "Real network support: yes" and a compact core pattern assume Claude's competence with no concept padding, matching the lean/efficient anchor.

3 / 3

Actionability

Provides an executable Rust core pattern, exact package facts, named manifest files, and concrete runnable example paths, all copy-paste ready and specific.

3 / 3

Workflow Clarity

As a reference/overview skill with no destructive batch operation, its Guardrails section supplies clear checkpoints (start from examples, treat AxIR as source of truth) and the single core action is unambiguous.

3 / 3

Progressive Disclosure

At ~50 lines with no skill bundle files present, the content is well-organized into clearly signaled sections (When To Use, Package Facts, Core Pattern, Lifecycle, Guardrails) and points one level out to package docs/examples, satisfying the simple-skill allowance.

3 / 3

Total

12

/

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 concise, well-scoped description with an explicit "Use when" trigger and several concrete capabilities. It is slightly jargon-heavy in its later capability terms, which keeps trigger-term quality from the top level.

Suggestions

Add plainer-language trigger terms (e.g. "agent memory", "skill loading", "tracking which skills were used") alongside the technical terms so users phrase the need more naturally.

Consider a short synonym such as "LLM agent memory" to broaden natural-term coverage without losing specificity.

DimensionReasoningScore

Specificity

Lists multiple concrete capabilities — "agent memory, recall callbacks, dynamic skill discovery, loaded-skill state, and used-skill tracking" — matching the anchor for enumerating several specific actions.

3 / 3

Completeness

Explicitly answers both what (the enumerated capabilities) and when ("Use when writing Rust code with `axllm`..."), satisfying the top anchor with an explicit trigger clause.

3 / 3

Trigger Term Quality

"writing Rust code with `axllm`" and "agent memory" are natural, but "recall callbacks", "loaded-skill state", and "used-skill tracking" lean technical and miss common phrasings a user might say.

2 / 3

Distinctiveness Conflict Risk

The Rust + `axllm` + agent-memory/skills niche is sharply scoped and unlikely to trigger 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

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.