research

research is a skill for Claude Code, Codex from regen-coordination/org-os-template. It costs 38 tokens per session (1,980 once invoked), scanned A, original, MIT.

A research workflow for investigating topics, reviewing literature, comparing sources, and tracking findings over time. It produces documented results with citations and records where the information came from.

In plain words
What is it for?
Use it to create investigation briefs, literature reviews, tool comparisons, funding research, ecosystem studies, and ongoing topic monitoring.
Why use it?
It reduces the effort of gathering information from many sources and makes the evidence behind conclusions easier to check.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions AGENTS.md.

Good fit Use it to create investigation briefs, literature reviews, tool comparisons, funding research, ecosystem studies, and ongoing topic monitoring.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/regen-coordination/org-os-template/research
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add regen-coordination/org-os-template --skill research
Clone the repo
git clone --depth 1 https://github.com/regen-coordination/org-os-template

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for research

README.md
[![agentmods](https://agentmods.dev/badge/skills/regen-coordination/org-os-template/research/github.svg)](https://agentmods.dev/skills/regen-coordination/org-os-template/research)
Your own site
<a href="https://agentmods.dev/skills/regen-coordination/org-os-template/research"><img src="https://agentmods.dev/badge/skills/regen-coordination/org-os-template/research/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for research

Your own site · 80×15
<a href="https://agentmods.dev/skills/regen-coordination/org-os-template/research"><img src="https://agentmods.dev/badge/skills/regen-coordination/org-os-template/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,980 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.01980
Opus 5 $0.00019 $0.00990
Sonnet 5 $0.00008 $0.00396
Haiku 4.5 $0.00004 $0.00198

Measured 8d ago against content hash f73c13cb160f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/research/SKILL.md · 237 lines

How it starts

The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research

Overview

This skill integrates Feynman research workflows into the org-os. Feynman dispatches specialized agents (researcher, reviewer, writer, verifier) to produce source-heavy research artifacts with inline citations and provenance tracking.

All outputs land in docs/research/ organized by workflow type.

When to Use

  • Operator asks to research a topic, ecosystem, funding opportunity, or technology
  • Before major strategic decisions (entity formation, partnership evaluation, funding applications)
  • To survey academic or industry literature relevant to the organization's domains
  • To compare tools, frameworks, platforms, or approaches
  • To set up ongoing monitoring of a research area or competitor landscape
  • During autoresearch loops for iterative optimization

Workflows

Deep Research — /deepresearch <topic>

Multi-source investigation producing a structured brief with inline citations.

feynman deepresearch "Current approaches to decentralized governance in member-owned organizations"

Output: docs/research/briefs/YYYY-MM-DD-<slug>.md + .provenance.md

Use for: Funding application background research, ecosystem analysis, strategic investigations.

Literature Review — /lit <topic>

Academic-focused review with consensus, disagreements, and open questions.

feynman lit "Measured impact of participatory funding mechanisms on community outcomes"

Output: docs/research/lit-reviews/YYYY-MM-DD-<slug>.md + .provenance.md

Use for: Grant applications requiring academic grounding, knowledge commons contributions.

Source Comparison — /compare <topic>

Compare multiple sources, tools, or approaches with an agreement/disagreement matrix.

feynman compare "Gnosis Safe vs Aragon vs DAOhaus for organizational treasury management"

Output: docs/research/comparisons/YYYY-MM-DD-<slug>.md

Use for: Tool selection, platform evaluation, partnership due diligence.

Autoresearch — /autoresearch <goal>

Read the full file on GitHub · 237 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 237 lines · 38 tokens per session scan A f73c13cb160f

Subscribe to this mod's changes

research is a skill published in the GitHub repository regen-coordination/org-os-template (5 stars, last pushed 6d ago), licensed MIT. It adds 38 tokens to every session and 1,980 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens