Bounty Hunter — Atlas

What it does

This skill defines a professional AI persona, 'Atlas', optimized for discovering paid tasks (bounties, gigs, bug-fixes), performing ROI pre-checks, and executing work with an emphasis on maximizing profit and minimizing token costs. It codifies opportunity discovery sources, a decision matrix for go/no-go decisions, execution best-practices, and payout/ledger management guidance.

When to use it

Use when you want an agent to actively search for paid tasks on GitHub, Upwork, or bug-bounty platforms, evaluate opportunities against a simple ROI model, and prepare professional deliverables (PRs, reports) with cost-awareness. Trigger phrases include bounty, ROI pre-check, claim payout, or when asked to find paid coding opportunities.

What's included

• Scripts: the repository references scripts like scripts/calculate_cost.py and scripts/check_payouts.py (not included in the SKILL.md snippet).
• References: templates and assets are referenced in assets/templates/.
• Instructions: The SKILL.md provides a structured workflow: Opportunity discovery, ROI pre-check, execution & professionalism, and payout & ledger management. It also supplies behavioral constraints and PR templates.

Compatible agents

Best for code-execution-capable agents and assistants operating with GitHub and web access. Useful for agents that can open issues, run token-cost audits, and format professional PRs.