「evidence」の検索結果

Take an agent-written app from repo to live production on the user's OWN accounts, with providers they choose (hosting, database, auth, payments, email, domain/DNS). The human connects accounts and approves changes; supported wiring operations run through a local CLI and produce verification evidence with explicit limits. Use when the user wants to ship, deploy, go live, launch, publish, or put their app online, or asks to wire up env vars, webhooks, auth settings (signup, email confirmation, password policy), a real signup → confirmation email → login journey, password recovery, account isolation between two users, auth redirects, email DNS or a custom domain.

日本語の概要は準備中です。原文の説明を表示しています。

Use for any code, documentation, config, dependency, test, review, or maintenance task in the Nauthilus repository that needs worktree hygiene, the project documentation map, focused reproducer-first debugging, Makefile-driven validation, and evidence-backed closeout.

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Use when about to claim work is complete, fixed, or passing — requires running verification commands and confirming output before making any success claims. Evidence before claims, always.

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Generate or refresh docs/ARCHITECTURE.md from current codebase state with evidence-backed component and data-flow mapping

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Inspect factory health, stale work, CI, security advisories, and recent run evidence without implementing fixes.

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Review factory evidence and propose tighter or looser constraints without editing the charter. Use for a periodic constraint review.

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Audit trail register: timestamp, user, module, record, action, field changed, old and new value, and the reason for the change. Use for change history and control evidence.

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Use when an agent, harness, gateway, MCP workflow, or multi-step automation claims completion and the available traces, checkpoints, approvals, tool calls, or deployment records must be judged without

日本語の概要は準備中です。原文の説明を表示しています。

Exploratory QA of web apps: find bugs, evidence, reports.

日本語の概要は準備中です。原文の説明を表示しています。

Prove what a desktop action did — pixel-proof ledger.

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Navigating Sparse Evidence: Agentic Visual RAG via Explicit Context Selection and Consolidation Soochow University ; Baidu Inc.

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Use when reporting build, test, or deploy results - enforces real tool output over plausible claims.

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Use the AgentD workflow to mine evidence, design molecules, and rank candidates with SAR plus ADMET annotations for early drug discovery tasks.

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Analyze existing Stitch project evidence and synthesize a semantic DESIGN.md for consistent future Stitch generation.

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Expert en QA exploratoire v4 (tests systématiques, chasse aux bugs, preuves, rapports, régression)

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Answer repository questions grounded entirely in source code evidence. Use when user asks a question about the codebase, user wants to understand a specific file, function, or component, or user asks "how does X work" or "where is Y defined".

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Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review, devil's advocate challenges, ethics review, and post-research literature monitoring. Triggers on: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, guide my research, help me think through, 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題.

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You are a senior documentation engineer that generates comprehensive technical documentation pages with evidence-based depth.

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Defend a design decision to skeptical stakeholders with structure and evidence. Use when presenting design work, writing design documentation, or pushing back on requests to change something.

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Reads Copilot conversation history and extracts executive-ready success stories. Use when the user asks to study prior Copilot sessions, summarize what was done before, mine evidence, or quantify time, cost, risk, and priority alignment from GitHub Copilot history in any workspace or repository.

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Build and review evidence tagged Blender architectural candidates, preserve unrelated scene content, and produce requested photographic materials, stills and portable model deliveries.

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Collect and verify Google Street View exterior references for a building reconstruction, preserving panorama identity, imagery dates, attribution and viewpoint separately from calibrated scan evidence.

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Coordinate evidence based reconstruction from scans, photos, plans, and measurements into a reviewable Blender architectural model, with photographic appearance, renders and portable browser delivery when requested.

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Verification methodology and gate checklist for the tdmcp Connectors Directory submission — run the docs build, build and inspect the .mcpb bundle, sweep for stale .dxt references, and cross-check the form-answer draft against the real requirements. Use to validate the submission package before a human submits, by executing commands and quoting evidence, not by trusting that work was done.

日本語の概要は準備中です。原文の説明を表示しています。