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Execute Feedback

Community
jmagly
execute-feedback

Execute tests on generated code and iterate until passing

Overview

Publisherjmagly
Repositoryaiwg
Skill nameexecute-feedback
Stars
225
Forks
34
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by jmagly on GitHub. Read the source before you install it.

Installation

Install the Execute Feedback AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/jmagly/aiwg/tree/main/agentic/code/addons/agent-loop/skills/execute-feedback
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jmagly/aiwg.git /tmp/aiwg
mkdir -p .claude/skills
cp -r /tmp/aiwg/agentic/code/addons/agent-loop/skills/execute-feedback .claude/skills/execute-feedback
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Execute Feedback in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Execute Feedback on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Execute Feedback is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Frequently asked questions

What does the Execute Feedback AI skill do?

Execute tests on generated code and iterate until passing

Why use Execute Feedback on TypingMind?

Because you install it once and use it with any model. Execute Feedback is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Execute Feedback in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jmagly/aiwg/tree/main/agentic/code/addons/agent-loop/skills/execute-feedback. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Execute Feedback?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Execute Feedback?

As many as you like. As long as a model supports skills, you can use Execute Feedback with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Execute Feedback AI skill free?

Yes. It is published on GitHub by jmagly under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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