idea-check-action
March 1, 2026 · View on GitHub
Pre-build reality check for your ideas — as a GitHub Action.
Powered by idea-reality-mcp. Scans GitHub, Hacker News, npm, PyPI, and Product Hunt for existing solutions, then returns a reality signal (0-100) so you know what you're getting into before writing code.
Quick Start
Run on every Pull Request
name: Idea Check
on:
pull_request:
types: [opened]
jobs:
check:
runs-on: ubuntu-latest
permissions:
pull-requests: write
steps:
- uses: actions/checkout@v4
- uses: mnemox-ai/idea-check-action@main
id: idea
with:
idea: "Real-time collaborative markdown editor with AI suggestions"
depth: quick
- name: Post result as PR comment
uses: actions/github-script@v7
with:
script: |
const score = '${{ steps.idea.outputs.score }}';
const top = '${{ steps.idea.outputs.top-competitor }}';
const body = `## Idea Reality Check\n\n` +
`**Reality Signal:** ${score}/100\n` +
`**Top Competitor:** ${top}\n\n` +
`> Powered by [idea-reality-mcp](https://github.com/mnemox-ai/idea-reality-mcp)`;
github.rest.issues.createComment({
issue_number: context.issue.number,
owner: context.repo.owner,
repo: context.repo.repo,
body
});
Run when an issue is labeled "idea"
name: Idea Check from Issue
on:
issues:
types: [labeled]
jobs:
check:
if: github.event.label.name == 'idea'
runs-on: ubuntu-latest
permissions:
issues: write
steps:
- uses: actions/checkout@v4
- uses: mnemox-ai/idea-check-action@main
id: idea
with:
idea: ${{ github.event.issue.body }}
depth: deep
- name: Post result as issue comment
uses: actions/github-script@v7
with:
script: |
const score = '${{ steps.idea.outputs.score }}';
const top = '${{ steps.idea.outputs.top-competitor }}';
const body = `## Idea Reality Check\n\n` +
`**Reality Signal:** ${score}/100\n` +
`**Top Competitor:** ${top}\n\n` +
`> Powered by [idea-reality-mcp](https://github.com/mnemox-ai/idea-reality-mcp)`;
github.rest.issues.createComment({
issue_number: context.issue.number,
owner: context.repo.owner,
repo: context.repo.repo,
body
});
Inputs
| Input | Description | Required | Default |
|---|---|---|---|
idea | Idea description text or path to a proposal file | Yes | — |
depth | quick (GitHub + HN) or deep (all 5 sources) | No | quick |
github-token | GitHub token for API access | No | ${{ github.token }} |
threshold | Reality signal threshold that triggers a warning | No | 70 |
Outputs
| Output | Description | Example |
|---|---|---|
score | Reality signal (0-100). Higher = more competition | 82 |
report | Full JSON report with evidence and pivot hints | {"reality_signal": 82, ...} |
top-competitor | Name and star count of the top similar project | dnscheck (1.2k stars) |
Advanced Usage
Custom threshold with deep scan
- uses: mnemox-ai/idea-check-action@main
id: idea
with:
idea: "AI-powered code review bot for GitHub PRs"
depth: deep
threshold: "85"
Read idea from a file
- uses: mnemox-ai/idea-check-action@main
with:
idea: "./docs/proposal.md"
Fail-safe design
The action never breaks your CI pipeline. If the reality check fails (network issues, API rate limits, etc.), it prints a ::warning:: and exits with code 0. Downstream steps will see score=0 and report={} as fallback values.
Use the full report in subsequent steps
- uses: mnemox-ai/idea-check-action@main
id: idea
with:
idea: "Kubernetes cost optimizer with ML predictions"
depth: deep
- name: Parse report
run: |
echo '${{ steps.idea.outputs.report }}' | jq '.pivot_hints'
How it works
- Extracts keywords from your idea description
- Searches GitHub repos, Hacker News, npm, PyPI, and Product Hunt in parallel
- Computes a weighted reality signal based on existing solutions
- Returns the score, top competitors, and pivot suggestions
FAQ
Does this fail my CI pipeline?
No. The action uses ::warning:: annotations instead of failing the build. If the reality check encounters an error, it outputs score=0 and continues gracefully. Your pipeline will never break because of this action.
What's the difference between quick and deep mode? Quick mode (default) scans GitHub repositories and Hacker News — fast, no API keys needed. Deep mode scans all 5 sources (GitHub, HN, npm, PyPI, Product Hunt) for a more comprehensive check.
Do I need API keys?
No. The action works without any API keys using the default github.token. For deep mode with Product Hunt, you can optionally provide a PRODUCTHUNT_TOKEN. A personal GITHUB_TOKEN raises the API rate limit but is not required.
Links
- idea-reality-mcp — the core engine (MCP server + Python package)
- Mnemox AI — builder tools for AI-native workflows
License
MIT License. See LICENSE.