SkillLedger: an incentive layer for reusable agent skills

SkillLedger models a local marketplace where agents can publish skills, stake a bond, sell executions, and settle the result. It deliberately avoids real crypto and external payment systems. The interesting part is the incentive model, not the token mechanics.

When an execution succeeds, the author earns the price. When it fails, the author's stake is slashed and the buyer is refunded. Every movement is written as a ledger entry, giving the system an audit trail rather than a loose balance update.

Why I built it

Agent capability sharing is easy to demo and hard to trust. A registry alone tells you what exists. It does not answer whether the author has skin in the game, whether failures are visible, or whether a buyer can inspect settlement history.

What to inspect

• Account authentication with API keys stored as bcrypt digests.
• Skill creation with staked author bonds.
• Execution settlement and stake slashing paths.
• Immutable ledger entries for every transfer.
• Simple local-first SQLite deployment.

Why it belongs here

SkillLedger shows how I think about agent systems beyond prompt orchestration. Useful ecosystems need incentives, auditability, and failure economics. This project turns that argument into a small, inspectable API.