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code-review

Automated code review for pull requests using multiple specialized agents

Install with Tessl CLI

npx tessl i github:pipecat-ai/pipecat --skill code-review
What are skills?

66

Does it follow best practices?

Validation for skill structure

SKILL.md
Review
Evals

Discovery

32%

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 identifies its domain (automated PR code review) and hints at a multi-agent approach, but lacks concrete action details and critically omits any 'Use when...' guidance. Without explicit trigger conditions, Claude cannot reliably distinguish when to select this skill over other code-related skills.

Suggestions

Add a 'Use when...' clause with trigger terms like 'review my PR', 'check this pull request', 'code review', 'review changes before merge'

List specific concrete actions the agents perform, e.g., 'checks for security vulnerabilities, analyzes code style, identifies bugs, suggests improvements'

Include common term variations like 'PR', 'merge request', 'diff review' to improve trigger matching

DimensionReasoningScore

Specificity

Names the domain (code review, pull requests) and mentions 'multiple specialized agents' as a method, but doesn't list concrete actions like 'check for security issues, analyze code style, suggest improvements'.

2 / 3

Completeness

Describes what it does (automated code review) but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill.

1 / 3

Trigger Term Quality

Includes 'code review' and 'pull requests' which are natural terms, but misses common variations like 'PR', 'review my code', 'check this PR', or 'merge request'.

2 / 3

Distinctiveness Conflict Risk

The 'pull requests' and 'multiple specialized agents' aspects provide some distinction, but 'code review' is broad enough to potentially conflict with general code analysis or linting skills.

2 / 3

Total

7

/

12

Passed

Implementation

77%

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

This is a well-structured, highly actionable skill for automated code review with clear multi-agent orchestration and validation workflows. The main weaknesses are moderate verbosity with repeated concepts (high signal criteria appear multiple times) and a monolithic structure that could benefit from extracting reference material into separate files.

Suggestions

Extract the false positive list and link formatting rules into separate reference files (e.g., FALSE_POSITIVES.md, LINK_FORMAT.md) to reduce main skill length

Consolidate the 'high signal' criteria into a single location rather than repeating across steps 4 and 5

DimensionReasoningScore

Conciseness

The skill is reasonably efficient but includes some redundancy (e.g., repeating 'high signal' criteria multiple times, explaining what false positives are). Some sections could be tightened without losing clarity.

2 / 3

Actionability

Provides highly specific, executable guidance with exact CLI commands (gh pr view, gh pr comment, gh pr review), precise agent types to use (haiku, sonnet, opus), and concrete examples of link formatting and comment structure.

3 / 3

Workflow Clarity

Clear 9-step sequential workflow with explicit validation checkpoints (step 5 validates issues from steps 3-4, step 6 filters), parallel execution points clearly marked, and conditional branching (step 7 vs 8). Includes feedback loop for issue validation.

3 / 3

Progressive Disclosure

Content is well-structured with numbered steps and clear sections, but it's a monolithic document that could benefit from splitting detailed criteria (false positive list, link formatting rules) into separate reference files for cleaner navigation.

2 / 3

Total

10

/

12

Passed

Validation

81%

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

Validation9 / 11 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

9

/

11

Passed

Reviewed

Table of Contents

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