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CodeJury
Terminal-first, knowledge-grounded multi-agent software delivery pipeline: scope requirements, implement changes, run tests, and gate pull requests with deterministic QA and ensemble code review.
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Terminal-first, knowledge-grounded multi-agent software delivery pipeline: scope requirements, implement changes, run tests, and gate pull requests with deterministic QA and ensemble code review.
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One unbroken session against go-gitea/gitea — Go, TypeScript and templates, 120,521 symbols indexed. Which model owns each of the six stages, the request that started it, the ticket it became, the Planner's plan pinned to real symbols, then the jury: four judges on four different providers, each with its own verdict, one of them dissenting. Every screen is real state from a delivery that actually ran; nothing here is a mockup.
A terminal-first coding agent that is reviewed by a jury, not by a judge.
One LLM grading another LLM's code is not a review — it is a coin flip with a confident voice. So CodeJury sends every change to a panel of independent, differently-modelled judges and a foreperson who synthesizes one verdict. And because a panel costs tokens, the agent earns them back: it navigates your repository through a persistent code graph plus semantic search over graph nodes, so it looks up where a change goes instead of burning context rediscovering it.
And nothing about it is fixed. Six stages — knowledge, PM, planner, dev, QA, review — and you choose the provider and model for every one of them, live, from the terminal. Claude plans, Codex writes, GPT reviews. The jury itself is a roster you seat, re-model and re-brief yourself. All of it runs on the coding CLIs you're already logged into, so you may not need an API key at all.
pip install · one command to run · no API key required · macOS · Linux · Windows
CI ↗ ](https://github.com/krishagarwal314/CodeJury/actions/workflows/ci.yml) ",
"install_command": "",
"risk_summary": "Needs review; Experimental; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "krishagarwal314-codejury",
"task": "Use CodeJury in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/krishagarwal314-codejury",
"api": "https://www.openagentskill.com/api/agent/skills/krishagarwal314-codejury",
"audit": "https://www.openagentskill.com/skills/krishagarwal314-codejury/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=krishagarwal314-codejury&task=Use%20CodeJury%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20CodeJury%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20CodeJury%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/krishagarwal314-codejury/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/krishagarwal314-codejury"
}
}创作者工具
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