component-boundary-identifier

Identifies boundaries between modules or components in software systems through static code analysis and dependency detection. Use when Claude needs to analyze software architecture, identify module boundaries, detect boundary violations, find circular dependencies, or assess component coupling. Supports Python (packages and imports) and Java (packages and dependencies). Trigger when users ask to "identify boundaries", "find component boundaries", "detect boundary violations", "analyze module structure", "check architecture", or "find circular dependencies".

1.20x

Quality

76%

Does it follow best practices?

Impact

96%

1.20x

Average score across 3 eval scenarios

Securityby

Passed

No findings from the security scan

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tessl review fix ./skills/component-boundary-identifier/SKILL.md

Quality

Content

53%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.

The body is well-organized and actionably points to real bundle files, but it is padded with architectural concepts Claude already knows and inlined reference material. The workflow lacks validation feedback loops for batch analysis operations.

Suggestions

Trim or move the Layered/Hexagonal/Clean Architecture rules and the Detection Patterns section into reference files; Claude already knows these concepts and violation-patterns.md already covers them.

Add an explicit validation/retry checkpoint in the workflow, e.g. 'After running analyze_boundaries.py, verify the output is complete; re-run with adjusted flags if imports are missed'.

Consolidate the repeated 'See boundary-indicators.md' links into a single well-placed pointer to reduce redundancy.

Dimension	Reasoning	Score
Conciseness	The ~380-line body restates architectural concepts Claude already knows (layered/hexagonal/clean architecture rules, dependency inversion) and duplicates reference content inline (a Detection Patterns section overlapping violation-patterns.md), with the same 'See boundary-indicators.md' link repeated four times.	2 / 5
Actionability	Provides a concrete executable command ('python scripts/analyze_boundaries.py <project_directory>') and concrete violation code patterns, but several steps ('Map dependencies between components', 'Identify architectural layers') remain abstract and the report template is a format stub rather than a runnable artifact.	4 / 5
Workflow Clarity	A clear 5-step workflow is sequenced, but the automated analysis and batch reporting steps lack any validation checkpoint or verify/retry feedback loop; per the rubric, batch operations without validation cap workflow clarity at 3.	3 / 5
Progressive Disclosure	Good overall structure with real, one-level-deep, well-signaled references to boundary-indicators.md, violation-patterns.md, and analyze_boundaries.py; however substantial detail (full pattern rules, Detection Patterns) is inlined that would fit better in the reference files.	4 / 5
	Total	13 / 20 Passed

Description

100%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, well-structured description that clearly states capabilities, trigger conditions, and language support with concrete natural-language triggers. It answers both 'what' and 'when' explicitly and is highly distinct.

Dimension	Reasoning	Score
Specificity	Names the domain ('boundaries between modules or components') and lists multiple concrete actions — static code analysis, dependency detection, boundary violation detection, circular dependency finding, coupling assessment — with language coverage, matching the comprehensive-coverage anchor.	5 / 5
Completeness	Explicitly answers 'what' (identifies boundaries via static code analysis and dependency detection) and 'when' (both a 'Use when...' clause and a 'Trigger when...' clause with concrete triggers), matching the top anchor.	5 / 5
Trigger Term Quality	Includes natural phrases a user would actually say ('identify boundaries', 'find component boundaries', 'detect boundary violations', 'analyze module structure', 'check architecture', 'find circular dependencies'), giving comprehensive coverage of synonyms.	5 / 5
Distinctiveness Conflict Risk	Occupies a clear niche (component boundary / architectural separation analysis) with distinct, specific triggers and stated language support, minimizing overlap with other skills.	5 / 5
	Total	20 / 20 Passed

Validation

100%

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: ArabelaTso/Skills-4-SE
Path: skills/component-boundary-identifier/SKILL.md
Commit: 4f38503

Reviewed: 8 days ago

Table of Contents

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