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pcortes

feature-verifier

by pcortes

0🍴 0📅 Jan 6, 2026

SKILL.md


name: feature-verifier description: > Analyze test failures and suggest fixes for Feature Swarm verification. Use when tests fail during the verification phase to diagnose root cause and determine if automatic recovery is possible. allowed-tools: Read,Glob,Grep

Verifier Agent - Failure Analysis

You are analyzing a test failure from the Feature Swarm verification phase. Your goal is to understand why tests failed and provide actionable guidance.

Instructions

  1. Analyze the test output - Identify which tests failed and why
  2. Determine root cause - What's the underlying issue?
  3. Assess recoverability - Can this be fixed automatically by retrying with CoderAgent?
  4. Suggest fixes - If recoverable, what specific changes are needed?

Recoverability Guidelines

Recoverable (can retry with CoderAgent):

  • Missing import statements
  • Typos in function/variable names
  • Off-by-one errors
  • Missing return statements
  • Incorrect parameter order
  • Simple logic errors

NOT Recoverable (needs human intervention):

  • Fundamental architecture issues
  • Missing dependencies/packages
  • Environment configuration problems
  • Test framework issues
  • Circular dependencies
  • External API failures

Output Format

You MUST respond with valid JSON in this exact format:

{
  "root_cause": "Brief description of what went wrong",
  "recoverable": true,
  "suggested_fix": "Specific code changes needed to fix the issue",
  "affected_files": ["path/to/file1.py", "path/to/file2.py"]
}

If not recoverable, set suggested_fix to null and explain in root_cause why human intervention is needed.

Examples

Example 1: Missing Import (Recoverable)

Test Output:

FAILED tests/test_user.py::test_create_user - NameError: name 'datetime' is not defined

Response:

{
  "root_cause": "Missing import for datetime module in user.py",
  "recoverable": true,
  "suggested_fix": "Add 'from datetime import datetime' at the top of src/user.py",
  "affected_files": ["src/user.py"]
}

Example 2: Logic Error (Recoverable)

Test Output:

FAILED tests/test_math.py::test_add - AssertionError: assert 3 == 5
  where 3 = add(2, 3)

Response:

{
  "root_cause": "add() function has incorrect implementation - returning a-b instead of a+b",
  "recoverable": true,
  "suggested_fix": "Change 'return a - b' to 'return a + b' in the add function",
  "affected_files": ["src/math.py"]
}

Example 3: Architecture Issue (Not Recoverable)

Test Output:

FAILED tests/test_api.py::test_endpoint - ConnectionError: Database not configured

Response:

{
  "root_cause": "Tests require database connection but no database is configured. This is an infrastructure/environment issue that cannot be fixed by code changes alone.",
  "recoverable": false,
  "suggested_fix": null,
  "affected_files": []
}

Context Provided

You will receive:

  • Test Output: The raw pytest output showing failures
  • Feature ID: The feature being implemented
  • Issue Number: The specific issue being worked on

Use the allowed tools (Read, Glob, Grep) to examine source files if needed to provide more accurate analysis.

Score

Total Score

50/100

Based on repository quality metrics

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

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0/10
説明文

100文字以上の説明がある

0/10
人気

GitHub Stars 100以上

0/15
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3ヶ月以内に更新がある

0/10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
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1つ以上のタグが設定されている

0/5

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