aris-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

88%

Does it follow best practices?

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Adds up to 20 points to the overall score

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Securityby

Passed

No findings from the security scan

Quality

Content

77%

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

The content is highly actionable with a clear, well-checkpointed workflow, but it is long and monolithic. Tightening redundant sections and splitting detailed templates into reference files would improve both conciseness and progressive disclosure.

Suggestions

Consolidate the Typical Use Cases table and Example Invocations section, which overlap heavily, to reduce length and redundancy.

Move the full DSE_REPORT.md template and the parameter-inference table into separate reference files (e.g. references/REPORT_TEMPLATE.md) referenced from SKILL.md to improve progressive disclosure.

Trim the verbose report-section prose to placeholders only, since Claude can generate surrounding narrative without the template spelling out each line.

Dimension	Reasoning	Score
Conciseness	The body largely avoids explaining concepts Claude already knows, but at ~270 lines it includes redundant material (the Typical Use Cases table overlaps the Example Invocations) and an elaborate report template that could be trimmed.	2 / 3
Actionability	Concrete file paths (dse_results/dse_log.csv, DSE_STATE.json), explicit CSV/JSON schemas, named search strategies, and a defined per-iteration process give fully actionable, copy-ready guidance for an instruction skill.	3 / 3
Workflow Clarity	A clear phased sequence (Phase 0-4) with explicit per-iteration checkpoints (stopping conditions) and feedback loops (crash->skip, constraint violation->adjust bounds, repeated crash->stop) matches the score-3 anchor.	3 / 3
Progressive Disclosure	Sections are well-organized, but the skill is a monolithic ~270-line single file with no external reference files; content such as the report template and use-case table is inline that could be split out.	2 / 3
	Total	10 / 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 concise, third-person, and clearly states both capability and explicit natural-language triggers. It is a strong, well-scoped skill description with no notable weaknesses.

Dimension	Reasoning	Score
Specificity	"Runs a program, analyzes results, tunes parameters, and iterates until objective is met or timeout" lists multiple specific concrete actions in the architecture/EDA domain, matching the score-3 anchor.	3 / 3
Completeness	It explicitly answers what the skill does (autonomous DSE loop) and when to use it ("Use when user says..."), satisfying both halves of the score-3 anchor.	3 / 3
Trigger Term Quality	Triggers "DSE", "design space exploration", "sweep parameters", "optimize", "find best config", and "iterative parameter tuning" are natural terms a user in this domain would actually say, giving good coverage.	3 / 3
Distinctiveness Conflict Risk	The computer-architecture/EDA design-space-exploration niche is narrow and its primary triggers ("DSE", "design space exploration", "sweep parameters") are distinct, making wrong-skill conflicts unlikely.	3 / 3
	Total	12 / 12 Passed

Validation

87%

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 — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
allowed_tools_field	'allowed-tools' contains unusual tool name(s)	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	14 / 16 Passed

Repository: OpenLAIR/dr-claw
Path: skills/aris-dse-loop/SKILL.md
Commit: 6da7f7c

Reviewed: about 7 hours ago

Table of Contents

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