multi-agent-tournament-scorecard
SolidUse when agent strategies need a reproducible finite tournament under a frozen evaluation protocol. Not for open-ended or infinite matchups: use a continuous benchmark.
AI & Automation 38 stars
0 forks Updated yesterday Apache-2.0
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# Multi-agent tournament scorecard
## Contract
| Field | Bound contract |
|---|---|
| Trigger | Agent strategies need a reproducible finite tournament under a frozen evaluation protocol. |
| Authority | Reversible local writes only. Run records and receipts under `.outline/loops/`; rollback is deletion. No VCS, credential, paid, published, deployed, or remote mutation. |
| Side effect | A reproducible tournament scorecard persisted as a run record. |
| Done | The run ends at exactly one declared terminal class with a persisted run record and `receipt.json`: on `success`, the complete matrix with move records, scores, and hidden-identity validation; on `stalled`, the named matchup and stopping reason; on `blocked`, the named violation or mismatch and no published scorecard; on `exhausted`, the completed matchups and the remainder, with no success claim. |
## Inputs
- Matchup matrix (required): the explicit finite set of agent pairings and rounds, frozen before the tournament begins.
- Evaluation protocol (required): the frozen rules that govern each matchup: move validation, scoring, and identity disclosure.
- Agent strategies (required): the strategies under test, each identified and version-pinned.
## Procedure
1. Bind the declared matchup matrix and freeze it before any run. Done when: the matrix is recorded in writing and no matchup has been executed yet.
2. Execute the tournament inside the bound: run each matchup in the frozen matrix, record every move, and compute...
Details
- Author
- OutlineDriven
- Repository
- OutlineDriven/odin-claude-plugin
- Created
- 10 months ago
- Last Updated
- yesterday
- Language
- Python
- License
- Apache-2.0
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