dse-loop

Autonomous design space exploration loop for computer architecture and EDA. Runs a program, analyzes results, tunes parameters, and iterates until objective is met or timeout. Use when user says \"DSE\", \"design space exploration\", \"sweep parameters\", \"optimize\", \"find best config\", or wants iterative parameter tuning.

Quality

89%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

88%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.

A thorough, highly actionable autonomous-loop skill with clear phased workflow, validation checkpoints, and error-recovery feedback loops. It is dense rather than padded, with only minor room to externalize the report template.

Dimension	Reasoning	Score
Conciseness	Dense and mostly efficient with no padding of concepts Claude already knows, but the full report template and example invocations add length that could be trimmed or moved to a reference.	4 / 5
Actionability	Highly executable: concrete working-directory layout, CSV log schema, JSON state example with real values, parse-script guidance, and copy-paste-ready example invocations covering common cases.	5 / 5
Workflow Clarity	Phases 0-4 are clearly sequenced with explicit stopping conditions, state recovery, and strong feedback loops (log-before-run, re-validate parser after reimplementation, crash retry policy) for this batch operation.	5 / 5
Progressive Disclosure	Well-organized with clear section headers and a clearly signaled one-level reference (external-cadence.md); no bundle files exist, and large inline blocks like the report template could be split out but are reasonably placed.	4 / 5
	Total	18 / 20 Passed

Description

91%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 that clearly states what the skill does and when to invoke it, with a rich set of natural trigger terms. The only weakness is that a few triggers are broad enough to risk overlap with generic optimization skills.

Dimension	Reasoning	Score
Specificity	Names the domain ("computer architecture and EDA") and lists several concrete actions ("Runs a program, analyzes results, tunes parameters, and iterates"), though the actions are somewhat generic rather than skill-specific mechanisms.	4 / 5
Completeness	Explicitly answers both what (autonomous run-analyze-tune-iterate loop) and when ("Use when user says..." with concrete trigger phrases), matching the top anchor.	5 / 5
Trigger Term Quality	Comprehensive natural trigger phrases including synonyms and abbreviations: "DSE", "design space exploration", "sweep parameters", "optimize", "find best config", and "iterative parameter tuning".	5 / 5
Distinctiveness Conflict Risk	The architecture/EDA and DSE framing carves a clear niche, but broad triggers like "optimize" and "find best config" create minor overlap risk with general optimization or tuning skills.	4 / 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
relative_links	Relative link issues: 1 suspicious	Warning

	Total	15 / 16 Passed

Repository: wanshuiyin/Auto-claude-code-research-in-sleep
Path: skills/skills-codex/dse-loop/SKILL.md
Commit: f4f20f9

Reviewed: 1 day ago

Table of Contents

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