{"slug":"krishagarwal314-codejury","name":"CodeJury","description":"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.","long_description":"<div align=\"center\">\n\n<img src=\"docs/screenshots/cli-session.gif\" alt=\"CodeJury in the terminal: which model owns each stage, an indexed repository, a request as tickets, the Planner's verified plan, and a four-judge jury with each juror's verdict\" width=\"900\">\n\n<sub>One unbroken session against <a href=\"https://github.com/go-gitea/gitea\">go-gitea/gitea</a>\n— Go, TypeScript and templates, 120,521 symbols indexed. Which model owns each of\nthe six stages, the request that started it, the ticket it became, the Planner's\nplan pinned to real symbols, then the jury: four judges on four different\nproviders, each with its own verdict, one of them dissenting. Every screen is\nreal state from a delivery that actually ran; nothing here is a mockup.</sub>\n\n<br>\n\n### A terminal-first coding agent that is reviewed by a **jury**, not by a judge.\n\n**One LLM grading another LLM's code is not a review — it is a coin flip with a\nconfident voice.** So CodeJury sends every change to a panel of independent,\ndifferently-modelled judges and a foreperson who synthesizes one verdict. And\nbecause a panel costs tokens, the agent earns them back: it navigates your\nrepository through a **persistent code graph plus semantic search over graph\nnodes**, so it *looks up* where a change goes instead of burning context\nrediscovering it.\n\n**And nothing about it is fixed.** Six stages — *knowledge, PM, planner, dev, QA,\nreview* — and you choose the provider and model for every one of them, live, from\nthe terminal. Claude plans, Codex writes, GPT reviews. The jury itself is a roster\nyou seat, re-model and re-brief yourself. All of it runs on the coding CLIs you're\nalready logged into, so **you may not need an API key at all**.\n\n<br>\n\n`pip install` · one command to run · no API key required · **macOS · Linux · Windows**\n\n[![CI](https://github.com/krishagarwal314/CodeJury/actions/workflows/ci.yml/badge.svg)](https://github.com/krishagarwal314/CodeJury/actions/workflows/ci.yml)\n![Python](https://img.shields.i","tagline":"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.","category":"utility","tags":["agent","coding-agent","rag","code-quality","python"],"author":"krishagarwal314","verified":true,"attribution":{"status":"community_indexed","statusLabel":"Community indexed","shortLabel":"COMMUNITY INDEXED","sourceLabel":"OpenAgentSkill auto-indexer","sourceDetail":"krishagarwal314/CodeJury","creatorName":"krishagarwal314","creatorUrl":"https://github.com/krishagarwal314","sourceUrl":"https://github.com/krishagarwal314/CodeJury","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/krishagarwal314-codejury#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":137,"forks":23,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":57.73},"quality":{"score":94,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"137","tone":"neutral"},{"label":"Freshness","value":"20d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v5","score":71,"base_score":79,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. 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issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"20d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":100,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":36,"weight":0.12,"status":"fail","detail":"command execution surface, credential or environment access"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add krishagarwal314/CodeJury"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":22,"weight":0.07,"status":"fail","detail":"secrets or environment access, shell or command execution"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/krishagarwal314/CodeJury"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"info","label":"GitHub adoption","detail":"137 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"137 stars, 23 forks; 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issue activity unavailable in current metadata"],"agent_contract":{"task_input":"Use CodeJury in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 79/100 Strong shortlist","Audit: 87/100 Needs review","Safety: 47/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"krishagarwal314-codejury (CodeJury)","install_command":"npx skills add krishagarwal314/CodeJury","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"}},"supply_profile":{"track":{"slug":"coding","label":"Coding and developer agents","shortLabel":"Coding","description":"Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills."},"scenario":{"label":"GitHub automation","description":"I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.","useCases":[{"slug":"github-automation","title":"GitHub automation"},{"slug":"coding-agents","title":"Coding agents"},{"slug":"rag-knowledge","title":"RAG and knowledge"}]},"applicableAgents":["Claude Code","OpenAI Agents","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add krishagarwal314/CodeJury","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":137,"starsLabel":"137","forks":23,"license":"MIT","qualityScore":94,"trustScore":79,"auditScore":87},"maintenance":{"status":"fresh","label":"20d since push","daysSincePush":20,"lastPushedAt":"2026-08-03T17:26:26+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Dependency or permission surface needs review","Permission surface may require sandboxing","Permission surface needs review: secrets or environment access, shell or command execution","Stars/forks activity: 137 stars, 23 forks; 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Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"krishagarwal314-codejury\",\"task\":\"Install CodeJury\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"krishagarwal314-codejury\",\"task\":\"Install CodeJury\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"CodeJury\" from https://github.com/krishagarwal314/CodeJury into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"krishagarwal314-codejury\",\"task\":\"Install CodeJury\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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