failprompt

Parse CI failure logs and generate ready-to-paste AI prompts, in one command.

npx @elvatis_com/failprompt
# → prints a structured LLM-ready prompt to stdout, ready for Claude / ChatGPT / Copilot

The Problem

Every developer using AI has done this manually:

1. CI fails on GitHub Actions or GitLab CI
2. Open the run, scroll through 200 lines of logs
3. Copy the relevant error
4. Paste into Claude: "what's wrong with this?"
5. Paste the relevant file
6. Get the fix

failprompt automates steps 2-5.

Prerequisites

• Node.js 18+ (LTS recommended)
• GitHub CLI (gh): installed and authenticated (for GitHub Actions)
• GitLab CLI (glab): installed and authenticated (for GitLab CI)

# GitHub CLI
brew install gh        # macOS
sudo apt install gh    # Linux (or follow https://cli.github.com/manual/installation)
gh auth login

# GitLab CLI
brew install glab      # macOS
sudo apt install glab  # Linux (or follow https://gitlab.com/gitlab-org/cli)
glab auth login

Installation

# Global install
npm install -g @elvatis_com/failprompt

# Or run directly without installing
npx @elvatis_com/failprompt

Usage

# Auto-detect latest failed run on current branch (GitHub Actions)
failprompt

# Specific GitHub Actions run ID
failprompt --run 1234567890

# GitLab CI - auto-detect latest failed pipeline
failprompt --provider gitlab

# GitLab CI - specific pipeline ID
failprompt --pipeline 98765

# Different repo
failprompt --repo owner/repo

# Write prompt to file instead of stdout
failprompt --output prompt.md

# Skip source file context extraction
failprompt --no-context

# Verbose debug output (sent to stderr)
failprompt --verbose

# Pipe to clipboard (macOS)
failprompt | pbcopy

# Pipe to clipboard (Linux)
failprompt | xclip -selection clipboard

# Pipe to clipboard (Windows)
failprompt | clip

Flags

| Flag | Short | Description | |------|-------|-------------| | --run <id> | -r | Specific GitHub Actions run ID | | --pipeline <id> | -p | Specific GitLab CI pipeline ID | | --provider <type> | -P | CI provider: github, gitlab, auto (default: auto) | | --repo <owner/repo> | -R | Repository (default: git remote origin) | | --output <file> | -o | Write prompt to file | | --no-context | | Skip git source context extraction | | --verbose | -v | Print debug info to stderr | | --version | -V | Output version number | | --help | | Show help |

How It Works

1. Auto-detects CI provider (GitHub Actions or GitLab CI) from environment variables or log content
2. Fetches the failed log via gh (GitHub) or glab (GitLab) CLI
3. For GitLab, normalizes section markers (section_start/section_end) to a common format
4. Strips ANSI codes and timestamps from raw output
5. Detects error lines via ##[error] markers, ERROR: Job failed, and fallbacks for Error:, npm ERR!, FAILED, ENOENT, SyntaxError:, and more
6. Finds the failing step/section name
7. Extracts the relevant +/-30-line error context block
8. If a file path is referenced in the error, reads +/-20 lines from that file
9. Outputs a structured Markdown prompt optimized for LLMs

Output Format

## CI Failure - owner/repo / branch
**Run:** <run-id>
**Failing step:** <step-name>

### All Errors
- ##[error]Process completed with exit code 1.

### Error

Source Context

<relevant file snippet>

Task

Fix the error above. Explain what caused it and provide the corrected code.

---

## ⚠️ AAHP Case Study

> **This project is a public demonstration of the [AAHP Protocol](https://github.com/homeofe/AAHP).**
>
> It was built end-to-end by a multi-agent pipeline (Sonar → Opus → Sonnet → Review → Fix)
> with no manual code writing. Every decision is documented in `.ai/handoff/LOG.md`.
>
> The goal is to show how AAHP enables autonomous, auditable, multi-agent software development
>, not just as a concept, but as a working repository you can clone and inspect.
>
> Read the handoff files to see exactly what each agent decided and why:
> - [`.ai/handoff/STATUS.md`](.ai/handoff/STATUS.md), current build state
> - [`.ai/handoff/LOG.md`](.ai/handoff/LOG.md), full agent journal
> - [`.ai/handoff/NEXT_ACTIONS.md`](.ai/handoff/NEXT_ACTIONS.md), task queue

---

## License

MIT