Diagnoses test failures from Feature Swarm verification and outputs a JSON report.
npx skills add https://github.com/pcortes/swarm-attack --skill feature-verifier
Please help me install this Agent Skill. Skill: feature-verifier Source: https://github.com/pcortes/swarm-attack/tree/main/default-skills/verifier Command: npx skills add https://github.com/pcortes/swarm-attack --skill feature-verifier
This Skill automates the diagnosis of test failures during the verification phase, providing immediate root cause analysis and suggesting specific code fixes. This dramatically reduces debugging time, allowing AI agents to self-correct and iterate faster, or clearly escalate when human intervention is truly needed, saving developer effort.
AssertionError due to incorrect logic in an add function, and suggests changing return a - b to return a + b, enabling an automatic retry and successful verification.Analyze the provided test output from a failed verification run and suggest specific code changes needed to fix the issue.
High-intent search queries and answers about installing and using this skill.
Test failure diagnosis identifies the root cause by analyzing test output to pinpoint exact issues like missing imports, logic errors, or incorrect parameters. This Skill examines unit, integration, and end-to-end test failures to determine what went wrong and whether the problem is automatically recoverable or requires human intervention.
Yes. This Skill analyzes failed test output and suggests specific code changes needed to resolve recoverable issues, identifying affected files and the exact modifications required. For example, it might detect an AssertionError in a function and recommend changing the logic to fix the failure.
The Skill assesses recoverability by evaluating whether a failure stems from issues that can be automatically corrected—such as typos, missing imports, or off-by-one errors—or if it requires human oversight due to architectural or environmental constraints.
This Skill handles failures from unit, integration, and end-to-end tests spanning syntax errors, logic problems, environment issues, and dependency problems. It produces a structured JSON report with root cause, recoverability status, suggested fixes, and affected files.
The Skill generates a JSON report containing the root cause analysis, recoverability determination, actionable code fix suggestions, and a list of affected files, enabling either automatic retry or informed human intervention.
Use automated diagnosis when you need rapid iteration during verification phases—it saves debugging time by immediately identifying syntax, logic, environment, and dependency issues. Manual debugging becomes necessary when the Skill determines a failure is not automatically recoverable due to architectural constraints.
0xHarbsDiagnose failures by applying hypothesis-driven root-cause analysis to test outputs, stack traces, and CI logs.
4tikhonovReview code changes from a run and auto-fix mechanical issues.
tunnelevenExecute unit and integration tests with automatic framework detection and failure classification.
glowingkittyAnalyzes log output to identify issues and likely causes of failures.