
from bounty-hunter-skill277
Persona skill: 'Atlas' — a profit-focused developer persona for discovering, evaluating and executing paid bounties or freelance tasks with ROI-aware workflows.
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.
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.
scripts/calculate_cost.py and scripts/check_payouts.py (not included in the SKILL.md snippet).assets/templates/.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.
Bounty Hunter 'Atlas' is a persona skill for discovering and executing paid bounties with ROI-aware workflows. Both bundled scripts are stubs: calculate_cost.py returns a hardcoded $0.00 and check_payouts.py returns 'PENDING' for any input. The SKILL.md is well-structured with a clear persona and decision matrix, but the actual tooling is entirely placeholder code with no real functionality.
Clean skill with no security issues. Main problem is that scripts are pure stubs adding no real value — the skill is essentially a prompt template dressed up with placeholder tooling.