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agent-style

Literature-backed English technical-prose writing rules (agent-style, 21 rules). Its lane is FORMAL technical prose (papers, design docs, proposals, READMEs, commit messages). Use ONLY when the user explicitly asks for agent-style by name (e.g. "apply agent-style", "write/revise this per agent-style rules", "iterate until agent-style clean"). NOT for de-AI-ing casual or voiced text — use remove-ai-patterns for that. Do not auto-trigger for ordinary prose or documentation tasks.

70

Quality

86%

Does it follow best practices?

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SecuritybySnyk

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SKILL.md
Quality
Evals
Security

Quality

Content

78%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 well-structured, lean ruleset skill that correctly externalizes its bulk content to references/RULES.md with a clear resolution order. The main weaknesses are minor meta-padding and the absence of an explicit verification loop for the core revision task.

Suggestions

Move the maintainer-oriented Optional Deterministic Audit and Updating sections into a separate MAINTENANCE.md (or trim them) so the user-facing overview stays leaner and earns full conciseness credit.

Inline one or two BAD→GOOD example pairs for the highest-severity rules (e.g., RULE-04 Needless words, RULE-08 Claim calibration) so Claude can apply them without first loading references/RULES.md.

Add an explicit apply→verify→iterate loop for the common "revise this per agent-style" task (e.g., "edit the prose, re-scan against RULE-01..12, repeat until no violations remain") to give the core workflow a concrete validation checkpoint.

DimensionReasoningScore

Conciseness

The 21 rules are compact one-line directives that assume Claude's competence, but the Optional Deterministic Audit and Updating sections are maintainer-oriented meta-content that slightly pads the user-facing overview.

4 / 5

Actionability

Rules give concrete good/bad word pairs ("use" over "leverage") and an executable CLI ("uv tool install agent-style"; "agent-style audit FILE"), but full BAD/GOOD example pairs are deferred to references/RULES.md, leaving minor gaps.

4 / 5

Workflow Clarity

A numbered resolution order (project RULES.md → references/RULES.md → upstream repo) sequences full-body lookup, and the Updating step has a review/flag checkpoint, but the core "revise this per agent-style" task lacks an explicit apply→verify→iterate loop.

4 / 5

Progressive Disclosure

The body is a lean overview pointing to references/RULES.md (a verified 90KB vendored snapshot) via a clearly signaled, one-level-deep resolution order, with bulk content appropriately split out and easy to navigate.

5 / 5

Total

17

/

20

Passed

Description

95%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 precise, well-scoped description that clearly states what the skill is, when to use it, and how it differs from a sibling skill. Trigger phrasings are quoted exactly as users would say them, and negative guidance prevents misfires.

DimensionReasoningScore

Specificity

Names the domain ("English technical-prose writing rules", "21 rules") and concrete prose types (papers, design docs, proposals, READMEs, commit messages), giving several specific anchors with only minor gaps in coverage.

4 / 5

Completeness

Explicitly answers both what (a literature-backed ruleset for formal technical prose) and when ("Use ONLY when the user explicitly asks for agent-style by name") with concrete trigger phrases and negative boundaries.

5 / 5

Trigger Term Quality

Comprehensive coverage of natural user phrasings, quoting "apply agent-style", "write/revise this per agent-style rules", and "iterate until agent-style clean" exactly as a user would say them.

5 / 5

Distinctiveness Conflict Risk

Clear niche with distinct triggers and an explicit disambiguation from remove-ai-patterns ("NOT for de-AI-ing casual or voiced text — use remove-ai-patterns for that"), minimizing conflict risk.

5 / 5

Total

19

/

20

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

referenced_paths_exist

Referenced path issues: 1 missing, 1 deeper-than-1-level

Warning

Total

15

/

16

Passed

Repository
pchalasani/claude-code-tools
Reviewed

Table of Contents

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