beneissue 2.0.16

AI-powered GitHub issue automation framework

BeneIssue

AI-Agentic issue automation for GitHub.

Drowning in GitHub issues? Install beneissue once, and it handles the rest automatically.

Who is this for?

• Open source maintainers with 100+ issues piling up
• Small teams who can't afford to manually label every issue
• Solo developers who want typo fixes handled automatically

What changes after you install it?

Before	After
Issue opened → check it days later	Issue opened → instantly classified + labeled
Manually comment "need more info"	Auto-asks specific follow-up questions
Fix simple bugs yourself	Auto-eligible issues get auto-PR via Claude Code

How it works

Three stages:

Stage	What it does	Model
Triage	Classify issue → valid / invalid / duplicate / needs-info	Haiku (fast, ~$0.02)
Analyze	Find affected files, plan fix approach, check eligibility	Claude Code
Fix	Create branch, apply fix, open PR	Claude Code

Install once, runs forever

1. Install the package

pip install beneissue

2. Set up GitHub repository

Secrets: Go to Settings → Secrets and variables → Actions → Secrets tab:

Secret	Required	Description
ANTHROPIC_API_KEY	Yes	Your Claude API key
LANGCHAIN_API_KEY	No	LangSmith for tracing

Variables: Go to Settings → Secrets and variables → Actions → Variables tab:

Variable	Required	Description
LANGCHAIN_PROJECT	No	LangSmith project name (default: beneissue)

Permissions: Go to Settings → Actions → General → Workflow permissions:

• Enable "Allow GitHub Actions to create and approve pull requests"

3. Initialize in your repo

cd your-repo
beneissue init
git push

This creates:

your-repo/
├── .github/workflows/
│   └── beneissue-workflow.yml   # Triggers on issue events
└── .claude/skills/beneissue/
    ├── SKILL.md                 # Claude Code instructions
    └── beneissue-config.yml     # Your settings

That's it. From now on:

1. New issue opened → automatically triaged and labeled
2. Auto-eligible issues → Claude Code creates a PR
3. Need manual control? → just comment on the issue

Control via issue comments

@beneissue triage    # Re-classify this issue
@beneissue analyze   # Run full analysis
@beneissue fix       # Attempt auto-fix now

No CLI needed. Just talk to the bot in the issue thread.

GitHub Actions triggers

Event	Trigger	Action
Issue opened/reopened	Automatic	Runs analyze (triage → analyze)
@beneissue triage	Comment	Re-classify the issue
@beneissue analyze	Comment	Run full analysis
@beneissue fix	Comment	Attempt auto-fix now
@beneissue run	Comment	Full pipeline: triage → analyze → fix

Verify it's working

When issues get these labels automatically, you're set:

• triage/valid — Valid issue, ready for work
• fix/auto-eligible — Will be auto-fixed

Configuration

Edit .claude/skills/beneissue/beneissue-config.yml:

version: "1.0"

limits:
  daily:
    triage: 50   # ~$1/day
    analyze: 20  # ~$2-10/day
    fix: 5       # ~$5-25/day

team:
  - github_id: "your-github-id"
    available: true
    specialties: ["backend", "python"]

LangSmith (optional)

Enable LangSmith tracing to monitor and debug your workflows.

For GitHub Actions: Add to repository secrets/variables:

Type	Name	Description
Secret	LANGCHAIN_API_KEY	Your LangSmith API key
Variable	LANGCHAIN_PROJECT	Project name (default: beneissue)

For local development:

export LANGCHAIN_API_KEY=your-langsmith-api-key
export LANGCHAIN_PROJECT=your-project-name  # default: beneissue

When LANGCHAIN_API_KEY is set, LangSmith tracing is automatically enabled. Traces will appear in the specified project (or beneissue if not set).

Metrics Storage (optional)

Store workflow metrics in Supabase for dashboards and analytics:

1. Create a Supabase project at supabase.com

2. Run the SQL setup script:

-- Copy contents from scripts/sql/001_create_tables.sql
-- Run in Supabase SQL Editor

3. Set environment variables:

Variable	Required	Description
SUPABASE_URL	Yes	Your Supabase project URL
SUPABASE_SERVICE_KEY	Yes	Service role key (for write access)

Note: SUPABASE_SERVICE_ROLE_KEY is also supported (Vercel integration naming).

export SUPABASE_URL=https://your-project.supabase.co
export SUPABASE_SERVICE_KEY=your-service-role-key

When both variables are set, metrics are automatically recorded after each workflow run. Without these variables, beneissue works normally but skips metrics storage.

Labels

Label	Meaning
triage/valid	Valid issue, ready for analysis
triage/invalid	Out of scope or spam
triage/duplicate	Already reported
triage/needs-info	Waiting for more details
fix/auto-eligible	Passes checklist, will be auto-fixed
fix/manual-required	Needs human review
fix/completed	Auto-fix PR created

CLI (optional)

For manual runs or debugging:

Command	Description
beneissue triage <repo> --issue <n>	Classify issue only
beneissue analyze <repo> --issue <n>	Analyze issue only (no triage, no fix)
beneissue fix <repo> --issue <n>	Fix issue only (no triage, no analysis)
beneissue run <repo> --issue <n>	Full workflow: triage → analyze → fix
beneissue init	Initialize beneissue in current repo
beneissue labels	Sync labels to repository
beneissue test	Run policy tests

Add --dry-run to triage/analyze to skip GitHub actions.

Policy Testing

Validate your triage/analyze rules before deploying:

your-repo/.claude/skills/beneissue/tests/cases/
├── triage-valid-bug.json
├── triage-invalid-spam.json
└── analyze-auto-eligible-typo.json

beneissue test                    # Run all test cases
beneissue test --case spam        # Run specific case
beneissue test --dry-run          # Validate without AI calls

See examples/calculator for sample test cases.

License

Apache 2.0