Use these when you want low-noise lint/test output (good for LLM/CI logs) while staying aligned with repo policy.
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See how to installReview the instructions the agent will receive before you install.
Run the same checks as CI with less ANSI noise and more compact reporters.
npm run lint:agentnpm run test:agentnpm run test:rust:agentnpm run test:ui:agentnpm run test:smoke:agentnpm run test:smoke:quick:agentnpm run test:rust:agent, then widen to npm run test:agent.npm run test:ui:agent -- -t "<substring>".npm run test:smoke:quick:agent -- -t "<substring>" (only if you already built recently).package.json using bash -lc to set NO_COLOR=1, disable forced color, and use dot reporters for Vitest.npm run lint, npm test, npm run smoke.No reviews yet. Tell others what you thought.
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[00] TnR ABSOLUTE RIGOR — Systemic Verification Doctrine. Forced cognitive exertion for high-stakes investigations. Mandates absolute deconstruction, mathematical proof chains, and ≥95% derived certainty. Zero-tolerance for heuristics or sentiment-based reasoning. Shortcuts are defined as intentional hallucinations.
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Configures 2-Agent workflow between PM and implementation roles. Use when user mentions 2-Agent, 2エージェント, PM連携設定, Cursor設定, Cursor連携, 2-agent運用. Do NOT load for: 単独運用, ワークフロー実行, ハンドオフ処理.
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Appends relevant hashtags to journal entries based on content analysis. Intended for LLM execution.
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Add a new AI coding agent to Agent Sandbox. Creates all required files (Dockerfile, templates, CI, docs) and wires the agent into the CLI, proxy, and build system.
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Add a new property to the AI agents database. Use when the user wants to add, create, or introduce a new column, property, field, or feature to track across all agents in the comparison matrix. Handles all four required steps - database updates, groups.json, table display, and GitHub issue templates.
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Add new Agent templates to the meta-agent-skills framework.
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