菜单
Install, configure, or explicitly operate the external Feynman research-agent CLI for paper reading, literature reviews, audits, replication, and experiments. Use only when the user names Feynman or asks to manage that tool; not for ordinary Hermes research.
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。
基于 SOC 职业分类
Run AI coding agents on disposable repo clones. The agent works on a clone — it can't touch your real repo. An optional container (Podman or Docker) provides build/test isolation. You review the diff and decide what (if anything) to apply.
Create Deezer playlists programmatically from any query — similar artists, genre mixes, festival lineups, mood-based collections. Four-tier data pipeline: Deezer public REST API + Last.fm scrobble data for discovery, GQL Pipe API for smart mixes and playlist creation, web search for subjective curation. Uses ARL cookie auth — no OAuth app required.
Generate compact AI-readable context maps from codebases — tools like codesight, repomix, agentic-context that pre-compute project structure to save tokens in AI coding sessions.
Research-focused query handling with multi-source synthesis, citations, and Obsidian persistence. Like a self-hosted Perplexity/Vane but CLI-native. Best for quick-to-medium lookups using Kagi. Use when the user asks factual questions, needs citations, or wants a direct answer — not a full research report (use deep-research) or social sentiment (use last30days). Triggers on: research, look into, what's the latest on, compare, explain, investigate.
Write articles, guides, blog posts, tutorials, newsletter issues, research reports, and deep research outputs in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, deep research on a topic, or a research report — especially when voice consistency, structure, and credibility matter. Triggers on: 'write an article', 'research report', 'deep research', 'long-form', 'blog post', 'guide', 'newsletter', 'white paper', 'research paper'.
Systematic research methodology for major consumer durables (appliances, HVAC, power tools, outdoor equipment) and smart garden/outdoor devices (bird feeder cameras, bird baths, smart outdoor gadgets). Emphasis on real reliability data, failure mode analysis, and head-to-head comparison. Use when the user asks to research, review, compare, or evaluate major purchases where longevity and repair risk matter, or when researching smart bird feeders, bird bath cameras, and similar connected outdoor devices. Triggers on: washer/dryer, refrigerator, dishwasher, HVAC, furnace, AC, generator, power tool, appliance reviews, appliance reliability, which [appliance] to buy, compare models, bird feeder camera, bird bath camera, smart garden devices.
| name | feynman-research-agent |
| description | Install, configure, or explicitly operate the external Feynman research-agent CLI for paper reading, literature reviews, audits, replication, and experiments. Use only when the user names Feynman or asks to manage that tool; not for ordinary Hermes research. |
| category | research |
| triggers | ["feynman","literature review","paper audit"] |
Website: https://www.feynman.is/ GitHub: https://github.com/feynman
Feynman is an open-source AI research agent that reads papers, searches the web, writes drafts, runs experiments, and cites every claim — all running locally. Built on Pi and alphaXiv.
When the user asks to install, set up, or use Feynman, follow the steps below.
Two methods:
# Method 1: curl (bundled runtime, recommended)
curl -fsSL https://feynman.is/install | bash
# Method 2: npm (if you already manage Node locally)
npm install -g feynman
# Skills-only bundle also available on the site
Ask a question or run a workflow. Every answer is cited.
feynman "what do we know about scaling laws"
# → Cited research brief from papers and web
feynman deepresearch "mechanistic interpretability"
# → Multi-agent deep dive with synthesis and verification
feynman lit "RLHF alternatives"
# → Literature review with consensus and open questions
feynman audit 2401.12345
# → Paper claims vs. what the code actually does
feynman replicate "chain-of-thought improves math"
# → Replication plan, compute target, experiment execution
| Workflow | Description |
|---|---|
/deepresearch | Multi-agent investigation across papers, web, and code |
/lit | Literature review from primary sources with consensus mapping |
/review | Simulated peer review with severity scores and a revision plan |
/audit | Paper-to-code mismatch audit for reproducibility claims |
/replicate | Replication plan and execution in a sandboxed Docker container |
/compare | Side-by-side source comparison with agreement and conflict matrix |
/draft | Polished paper-style draft with inline citations from findings |
/autoresearch | Autonomous loop: hypothesize, experiment, measure, repeat |
/watch | Recurring monitor for new papers, code, or product updates |
Feynman assembles a team of specialized agents:
| Tool | Description |
|---|---|
| Paper search | Search, Q&A, code reading, and annotations via alpha CLI |
| Web search | Searches via Gemini or Perplexity |
| Session search | Indexed recall across prior research sessions |
| Preview | Browser and PDF export of generated artifacts |