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coderabbit-core-workflow-b

Tune CodeRabbit review configuration: learnings, code guidelines, and noise reduction. Use when fine-tuning review quality, training CodeRabbit with team preferences, adding code guidelines, or reducing false positives. Trigger with phrases like "coderabbit tune reviews", "coderabbit learnings", "coderabbit guidelines", "reduce coderabbit noise", "coderabbit false positives".

72

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

80%

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

The content is concise and highly actionable with concrete, executable config and scripts across a clear six-step sequence. Workflow clarity and progressive disclosure are slightly weaker due to implicit validation checkpoints and an all-inline structure.

Suggestions

Add explicit validation checkpoints to the workflow (e.g., after editing .coderabbit.yaml, verify the config is picked up via the dashboard or a test PR before declaring a step complete).

Consider extracting the lengthy path_instructions/path_filters noise-reduction examples into a references file (e.g. NOISE_REDUCTION.md) and linking to it from Step 4 to improve progressive disclosure.

Add a short 'verify the change worked' feedback loop after Step 6's monitoring script so reviewers can confirm the tuning improved acceptance rate before moving on.

DimensionReasoningScore

Conciseness

Lean, well-organized body that assumes Claude's competence — it provides concrete YAML config and bash snippets without explaining basic concepts, and every section earns its place.

3 / 3

Actionability

Provides copy-paste-ready executable YAML config blocks and a runnable bash monitoring script using 'gh api', with specific examples for each step.

3 / 3

Workflow Clarity

Six steps are clearly sequenced, but validation checkpoints are implicit rather than explicit — the A/B test decision framework is a soft checkpoint but there are no validate-then-proceed feedback loops.

2 / 3

Progressive Disclosure

Content is well-sectioned with external resource links and a Next Steps pointer, but all detail is inline in a single ~190-line file with no bundle references to split out deeper material.

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 specific, complete, and distinct, with concrete actions, explicit 'Use when' triggers, and natural trigger phrases users would say. It uses third-person voice throughout with no padding.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'learnings, code guidelines, and noise reduction' — naming specific tuning activities rather than vague language.

3 / 3

Completeness

Explicitly answers both what ('Tune CodeRabbit review configuration') and when ('Use when fine-tuning review quality...') with explicit trigger guidance.

3 / 3

Trigger Term Quality

Provides natural phrases users would say ('coderabbit tune reviews', 'coderabbit learnings', 'coderabbit guidelines', 'reduce coderabbit noise', 'coderabbit false positives') with good coverage.

3 / 3

Distinctiveness Conflict Risk

Clear niche (CodeRabbit tuning) with CodeRabbit-specific trigger phrases unlikely to conflict with other skills.

3 / 3

Total

12

/

12

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

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
jeremylongshore/claude-code-plugins-plus-skills
Reviewed

Table of Contents

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.