菜单
Deep research before decisions — tech comparisons, competitive landscape, feasibility studies. Proactive: when choosing between 2+ options or before irreversible architectural choices.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/bpmforge/attest-claude --skill research-analyst命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Gauntlet loop — multi-agent quality harness: a lead sets a real reference bar (a named product, test suite, or baseline to match or beat), splits the goal into gradeable units, builders produce artifacts in clean context, and blind fresh-per-round critics grade each artifact against the bar with evidence; failures loop until every unit passes, two rounds stall, or budget runs out. NOT /challenge (verifies factual claims); NOT /review (one-pass verdict) — this rebuilds until the work beats something real.
Claude-Design-style visual iteration loop — render the running UI, screenshot at 375/768/1440, critique against docs/design/tokens.json and design principles, apply fixes, re-capture until clean (cap 3 iterations). Also extracts a token baseline from an existing codebase (--sync) and audits real logged-in browsers (--real). NOT a one-pass review — use /ux --review for findings-only; NOT functional conformance — use /ui-verify.
Project intelligence steward — audits CLAUDE.md / AGENTS.md alignment with actual codebase, captures session learnings, updates project docs. Use after major sessions or when docs feel stale.
基于 SOC 职业分类
正在显示 SKILL.md
| name | Research Analyst |
| trigger | /research |
| description | Deep research before decisions — tech comparisons, competitive landscape, feasibility studies. Proactive: when choosing between 2+ options or before irreversible architectural choices. |
| context | fork |
| agent | researcher |
| arguments | [{"name":"topic","description":"What to research (e.g., \"best database for IoT\", \"AI chip market 2026\", \"compare Tauri vs Electron\")","required":true},{"name":"--compare","description":"Structured comparison of 2+ options with scoring matrix","required":false},{"name":"--deep","description":"Deep dive with multiple source verification","required":false},{"name":"--brief","description":"Quick summary (1-2 paragraphs) instead of full report","required":false}] |
Triggers the researcher subagent in a forked context.
The analyst conducts evidence-based research with citations. Never guesses — investigates, verifies, and synthesizes findings.
Modes:
--compare: Weighted scoring matrix across evaluation criteria--deep: Full report with executive summary, findings, analysis, sources--brief: 2-3 paragraph summary with key findingsDomains: Technology comparisons, architecture decisions, market research, competitive analysis, API documentation analysis, financial data.
Quality standards: All claims cited, conflicts flagged, single-source claims marked "unverified", recency-filtered sources.