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understand-domain

Extract business domain knowledge from a codebase and generate an interactive domain flow graph. Works standalone (lightweight scan) or derives from an existing /understand knowledge graph.

61

Quality

72%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./understand-anything-plugin/skills/understand-domain/SKILL.md
SKILL.md
Quality
Evals
Security

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 a well-sequenced, largely actionable phased workflow with explicit validation, but it is somewhat verbose in Phase 0 and references a bundled preprocessing script that is not present in the skill bundle. Tightening the plugin-root block and ensuring the referenced script exists would lift conciseness and progressive disclosure.

Suggestions

Include the referenced './extract-domain-context.py' in a scripts/ bundle (or document where it lives) so the Phase 2 command is executable as written.

Compress the Phase 0 plugin-root candidate list and its error output into a shorter probe loop to reduce token weight.

Spell out the 'standard graph validation pipeline' in Phase 5 with the actual command or a one-level reference, so the validation checkpoint is fully actionable.

DimensionReasoningScore

Conciseness

The phased body is mostly operational and earns its tokens, but the Phase 0 plugin-root resolution block (a long list of candidate paths with verbose error output) and repeated re-explanation of the data-directory logic could be tightened.

2 / 3

Actionability

Provides concrete, executable bash (worktree redirect, $UA_DIR resolution, git freshness diffs) and specific file paths for each phase; later phases are more declarative but the overall guidance is copy-paste ready.

3 / 3

Workflow Clarity

A clear Phases 0–6 sequence with an explicit validation checkpoint in Phase 5 and error-tolerance ('save what's valid') handling; the freshness preflight degrades gracefully rather than blocking.

3 / 3

Progressive Disclosure

Sections are well-labeled, but the body references a bundled script './extract-domain-context.py' (Phase 2) that is absent from the bundle, and large operational detail lives inline; references are not cleanly backed by the bundle structure.

2 / 3

Total

10

/

12

Passed

Description

67%

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 and distinct, naming concrete actions and a clear niche, but it omits explicit 'when to use' trigger guidance and relies somewhat on product-internal terminology. Adding a 'Use when...' clause with natural user phrasings would raise completeness and trigger quality.

Suggestions

Append an explicit trigger clause such as 'Use when the user asks for a domain model, business-flow diagram, or visualization of how a codebase maps to business domains.'

Broaden trigger terms to include natural variations users might say ('business flows,' 'domain model,' 'process steps') rather than only the product name '/understand.'

DimensionReasoningScore

Specificity

Lists several concrete actions — 'Extract business domain knowledge,' 'generate an interactive domain flow graph,' 'lightweight scan,' and 'derives from an existing /understand knowledge graph' — rather than vague language.

3 / 3

Completeness

Clearly states what the skill does but provides no 'Use when...' trigger clause, so the 'when' is only implied; per the judging guidelines this caps completeness at 2.

2 / 3

Trigger Term Quality

Includes relevant terms ('business domain knowledge,' 'domain flow graph,' 'codebase') but leans on product-internal jargon ('/understand knowledge graph') and omits common natural variations like 'domain model' or 'business flows.'

2 / 3

Distinctiveness Conflict Risk

Occupies a clear niche (interactive domain flow graphs) tied to a specific ecosystem, making it unlikely to trigger for unrelated skills.

3 / 3

Total

10

/

12

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
Egonex-AI/Understand-Anything
Reviewed

Table of Contents

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