This description is too abstract and jargon-heavy to be effective for skill selection. It fails to specify concrete actions the skill performs, lacks natural trigger terms users would use, and provides no explicit guidance on when Claude should select this skill. The description reads more like a title than a functional description.

Suggestions

List specific concrete actions the skill performs, e.g., 'Creates evaluation test cases, defines scoring rubrics, runs automated evals against Claude Code outputs, and tracks performance metrics.'

Add an explicit 'Use when...' clause with natural trigger terms, e.g., 'Use when the user wants to evaluate code quality, set up benchmarks, measure Claude Code performance, create test suites, or implement eval-driven development workflows.'

Replace jargon like 'EDD principles' with plain-language descriptions of what those principles entail, while keeping the acronym as a secondary trigger term.

Dimension	Reasoning	Score
Specificity	The description uses abstract language like 'formal evaluation framework' and 'EDD principles' without listing any concrete actions. It doesn't specify what the skill actually does (e.g., create test cases, run benchmarks, score outputs, generate reports).	1 / 3
Completeness	The description weakly addresses 'what' (a framework for evaluation) but provides no 'when' clause or explicit trigger guidance. There is no 'Use when...' or equivalent, and the 'what' itself is too vague to be useful.	1 / 3
Trigger Term Quality	The terms used are highly specialized jargon ('eval-driven development', 'EDD principles', 'formal evaluation framework') that users are unlikely to naturally say. Common terms like 'test', 'evaluate', 'benchmark', 'score', or 'measure quality' are absent.	1 / 3
Distinctiveness Conflict Risk	The mention of 'Claude Code sessions' and 'eval-driven development' provides some specificity that narrows the domain, but 'evaluation framework' is broad enough to potentially overlap with testing, QA, or code review skills.	2 / 3
	Total	5 / 12 Passed

Implementation

27%

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

This skill reads more like a conceptual whitepaper on eval-driven development than an actionable skill for Claude. It's excessively verbose, explaining well-known concepts (what pass@k means, what regression testing is) while lacking concrete, executable implementation details. The slash commands referenced (/eval define, /eval check) appear fictional with no backing implementation, undermining the skill's practical utility.

Suggestions

Cut the content by at least 60%: remove the Philosophy section, metric definitions Claude already knows, and redundant examples. Keep only the eval template formats and the workflow steps.

Make the integration commands actionable: either provide actual implementation scripts for '/eval define', '/eval check', '/eval report' or remove them and replace with concrete shell commands or file operations Claude can actually execute.

Split detailed content (grader types, full authentication example, best practices) into separate referenced files to improve progressive disclosure.

Add explicit validation/error-recovery steps to the workflow: what happens when an eval fails? How should Claude iterate? Include a feedback loop between steps 3 and 2.

Dimension	Reasoning	Score
Conciseness	The skill is extremely verbose at ~180 lines, explaining concepts like eval-driven development philosophy, pass@k metrics definitions, and grader types at length. Much of this is conceptual knowledge Claude already possesses. The 'Philosophy' section, detailed metric definitions, and extensive example templates could be dramatically condensed.	1 / 3
Actionability	The skill provides structured templates and some bash commands for code-based graders, but most content is markdown templates rather than executable code. The '/eval define', '/eval check', '/eval report' commands appear to reference non-existent slash commands with no implementation details. The workflow is more of a conceptual framework than concrete executable guidance.	2 / 3
Workflow Clarity	The 4-step workflow (Define → Implement → Evaluate → Report) is clearly sequenced, but lacks validation checkpoints or error recovery steps. There's no guidance on what to do when evals fail, no feedback loops for fixing issues, and the 'Implement' step is just 'Write code to pass the defined evals' with no substance.	2 / 3
Progressive Disclosure	The entire skill is a monolithic wall of text with no references to external files. All eval types, grader types, metrics, workflows, integration patterns, storage, best practices, and examples are inlined in a single document. Content like grader type details, the full authentication example, and storage conventions could easily be split into referenced files.	1 / 3
	Total	6 / 12 Passed

Validation

90%

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 — 10 / 11 Passed

Validation for skill structure

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

	Total	10 / 11 Passed

Reviewed

1 day ago

Table of Contents

Discovery Implementation Validation