---
name: Execute Feedback
slug: execute-feedback
category: Quality
description: Execute Feedback runs tests on generated code, analyzes failures, applies targeted fixes, and retries until the code passes or max attempts are reached. Use it after code generation or edits to verify behavior.
github: "https://github.com/jmagly/aiwg/tree/main/agentic/code/addons/agent-loop/skills/execute-feedback"
language: TypeScript
stars: 209
forks: 32
install: "npx degit https://github.com/jmagly/aiwg/tree/main/agentic/code/addons/agent-loop/skills/execute-feedback ~/.claude/skills/execute-feedback"
installs_to: ~/.claude/skills/execute-feedback
source_path: agentic/code/addons/agent-loop/skills/execute-feedback/SKILL.md
collection_size: 25
category_size: 1557
collection_url: "https://dirskills.com/collections/jmagly/aiwg"
added: 2026-09-04T05:26:55.911Z
last_synced: 2026-09-04T05:26:55.911Z
canonical_url: "https://dirskills.com/skills/execute-feedback"
---

# Execute Feedback

Execute Feedback runs tests on generated code, analyzes failures, applies targeted fixes, and retries until the code passes or max attempts are reached. Use it after code generation or edits to verify behavior.

**Install:**

```bash
npx degit https://github.com/jmagly/aiwg/tree/main/agentic/code/addons/agent-loop/skills/execute-feedback ~/.claude/skills/execute-feedback
```

## README

# Execute Feedback Command

Run executable feedback loop on generated code: execute tests, analyze failures, fix, and retry.

## Instructions

When invoked, perform the executable feedback loop per REF-013 MetaGPT:

1. **Identify Target**
   - Load the specified file or recently modified code files
   - Determine test framework (jest, pytest, cargo test, go test, etc.)
   - Find existing tests or generate test stubs if none exist

2. **Execute Tests**
   - Run the specified test command (or auto-detect)
   - Capture full output (stdout, stderr, exit code)
   - Parse test results: passed, failed, errors, skipped

3. **Analyze Failures**
   - For each failing test:
     - Extract error type and message
     - Identify root cause (null check, type error, logic error, etc.)
     - Map to source code location
   - Check debug memory for similar past failures

4. **Apply Fixes**
   - Generate targeted fix based on root cause analysis
   - Apply fix to source code
   - Increment attempt counter

5. **Re-Execute**
   - Run tests again after fix
   - Compare results to previous attempt
   - If all pass: record success in debug memory, return
   - If still failing: repeat from step 3

6. **Escalate if Needed**
   - After max attempts (default: 3), escalate to human
   - Include: all test results, failure analyses, fix attempts
   - Save debug memory session

7. **Update Debug Memory**
   - Record execution session in `.aiwg/ralph/debug-memory/sessions/`
   - Extract learned patterns to `.aiwg/ralph/debug-memory/patterns/`
   - Update success metrics

## Arguments

- `[file-path]` - Source file to test (default: recently modified files)
- `--test-command [cmd]` - Test command to run (default: auto-detect)
- `--max-attempts [n]` - Maximum fix attempts (default: 3)
- `--coverage [%]` - Minimum coverage target (default: 80)
- `--no-fix` - Run tests only, report without fixing
- `--verbose` - Show full test output

## References

- @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/rules/executable-feedback.md - Executable feedback rules
- @$AIWG_ROOT/agentic/code/addons/ralph/docs/executable-feedback-guide.md - Implementation guide
- @$AIWG_ROOT/agentic/code/addons/ralph/schemas/debug-memory.yaml - Debug memory schema
- @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/schemas/flows/executable-feedback.yaml - Workflow schema
- @.aiwg/research/findings/REF-013-metagpt.md - Research foundation