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lint-fix

Fix violations of an eslintPluginScraps rule across the codebase. Use when asked to "fix lint violations", "apply a lint rule", "fix scraps rule errors", "roll out a lint rule", "enforce a rule codebase-wide", or "fix design system lint". Covers manual fixes, autofix, batching, and codemod strategies for large-scale rollouts.

80

Quality

100%

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

100%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 a well-structured, executable playbook: it scales strategy by violation count, includes verification feedback loops for a batch operation, and offloads per-rule detail to clearly signaled reference files. It is concise and free of padding.

DimensionReasoningScore

Conciseness

The body is lean and command-driven — tables, threshold-based strategy branches, and copy-paste shell commands — assuming Claude's competence without explaining concepts like what eslint or linting is.

5 / 5

Actionability

Fully executable guidance throughout: concrete `pnpm exec eslint` invocations, explicit violation-count thresholds (100, 500), PR-title conventions, and a pre-commit command, with flexibility only where justified (codemods).

5 / 5

Workflow Clarity

Clear sequenced workflow with explicit validation checkpoints and feedback loops — 'Re-run after each batch to verify', the tight-loop fix workflow, and a final Verification step requiring '0 problems' — satisfying the batch-operation validation requirement.

5 / 5

Progressive Disclosure

SKILL.md stays an overview while per-rule fix details and the token taxonomy are split into real one-level-deep reference files (fix-patterns.md, token-taxonomy.md), clearly signaled via a rule-to-reference table and an explicit 'MUST load' instruction.

5 / 5

Total

20

/

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.

The description is exemplary: it states a precise capability, enumerates multiple concrete fix strategies, and supplies a rich set of natural trigger phrases with an explicit 'Use when' clause. It is clearly distinguishable from other skills.

DimensionReasoningScore

Specificity

Lists concrete strategies — 'manual fixes, autofix, batching, and codemod strategies for large-scale rollouts' — giving comprehensive coverage of how violations get fixed at varying scales rather than a single vague action.

5 / 5

Completeness

Explicitly answers both what ('Fix violations of an eslintPluginScraps rule across the codebase') and when ('Use when asked to...') with concrete trigger phrases, matching the top anchor.

5 / 5

Trigger Term Quality

Provides many natural user phrases — 'fix lint violations', 'apply a lint rule', 'fix scraps rule errors', 'roll out a lint rule', 'enforce a rule codebase-wide', 'fix design system lint' — covering synonyms and common variations a user would actually say.

5 / 5

Distinctiveness Conflict Risk

The 'eslintPluginScraps' / 'scraps rule' / 'design system lint' framing carves a clear niche with distinct triggers and minimal overlap risk with other skills.

5 / 5

Total

20

/

20

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
getsentry/sentry
Reviewed

Table of Contents

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