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eval-cs-skill

CodeStable skill 工程化闭环入口。触发:写/改一个 cs skill、评测 skill 效果、跨 model/agent 量化、优化 skill 提示词、把收敛结论固化回 skill。内部推进 author、eval、optimize、release。

78

Quality

100%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Low

Low-risk findings worth noting

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.

The body is a lean, action-dense overview with executable commands, an explicit state-machine workflow with validation gates and feedback loops, and disciplined one-level progressive disclosure to verified reference files. It meets the top anchor on every dimension.

DimensionReasoningScore

Conciseness

The body is dense and jargon-tight—diagrams, tables, and tagged metrics ([measured]/[soft]) with no padding or explanation of concepts Claude already knows; not level 2 because there is no unnecessary explanation to trim, every section serves a distinct function.

3 / 3

Actionability

The 工具入口 section gives real, copy-paste-ready commands (runner.py/optimize.py/regression.py/bump_version.py) with explained placeholders and flags, all referencing verified bundle scripts; not level 2 because the code is executable rather than pseudocode.

3 / 3

Workflow Clarity

The Stage 状态机 table sequences steps by repo fact, with explicit validation gates (git-commit-before-LLM provenance, --dry-run cost guard, V_instance∧V_meta convergence, --confirm on budget breach) and a keep/kill feedback loop; not level 2 because checkpoints are explicit, not implicit.

3 / 3

Progressive Disclosure

SKILL.md is an overview that stage-gates thick rules into one-level-deep, verified references (references/{author,eval,optimize,release,autonomy}/protocol.md) with a 'load only on entering the stage' instruction; not level 2 because references are well-signaled and appropriately split, not inlined or nested.

3 / 3

Total

12

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific, trigger-explicit, complete, and tightly scoped to the CodeStable skill lifecycle, written in impersonal voice. It cleanly satisfies every dimension at the top anchor.

DimensionReasoningScore

Specificity

Lists multiple concrete actions—"写/改一个 cs skill、评测 skill 效果、跨 model/agent 量化、优化 skill 提示词、把收敛结论固化回 skill"—matching the 'lists multiple specific concrete actions' anchor; not the level-2 anchor because the action set is comprehensive rather than partial.

3 / 3

Completeness

Answers both 'what' (工程化闭环入口 orchestrating author/eval/optimize/release) and 'when' via the explicit "触发:" clause; not level 2 because the trigger guidance is explicit, not merely implied.

3 / 3

Trigger Term Quality

An explicit "触发:" clause surfaces natural phrases a CodeStable user would say (写/改 skill、评测 skill 效果、优化提示词、固化结论), giving good coverage; not level 2 because common variations are present rather than missing.

3 / 3

Distinctiveness Conflict Risk

Scoped to the CodeStable skill lifecycle with distinct stage triggers (author/eval/optimize/release), making conflict with other skills unlikely; not level 2 because the niche is clearly bounded rather than overlapping.

3 / 3

Total

12

/

12

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

referenced_paths_exist

Referenced path issues: 10 deeper-than-1-level

Warning

Total

14

/

16

Passed

Repository
codestable/CodeStable
Reviewed

Table of Contents

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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.