research

research is a skill for Claude Code from reluctantfuturist/loyal-wingman. It costs 51 tokens per session (2,335 once invoked), scanned A, original, MIT.

A research workflow for finding, checking, and saving sourced information about culture, technology, history, and other real-world topics.

In plain words
What is it for?
Use it to ground fiction in real customs, language, technical details, historical facts, and other verifiable context.
Why use it?
It reduces the risk of relying on shallow or inaccurate information. Each research note includes a URL, date, and organised metadata.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter.

Part of the loyal-wingman plugin — 12 skills, 7 commands shipped together

Good fit Use it to ground fiction in real customs, language, technical details, historical facts, and other verifiable context.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/reluctantfuturist/loyal-wingman/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 reluctantfuturist/loyal-wingman --skill research
Clone the repo
git clone --depth 1 https://github.com/reluctantfuturist/loyal-wingman

Made for: Claude Code.

Or install loyal-wingman, the plugin that ships this one along with the rest of its 12 skills, 7 commands.

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/reluctantfuturist/loyal-wingman/research/github.svg)](https://agentmods.dev/skills/reluctantfuturist/loyal-wingman/research)
Your own site
<a href="https://agentmods.dev/skills/reluctantfuturist/loyal-wingman/research"><img src="https://agentmods.dev/badge/skills/reluctantfuturist/loyal-wingman/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/reluctantfuturist/loyal-wingman/research"><img src="https://agentmods.dev/badge/skills/reluctantfuturist/loyal-wingman/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,335 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 $0.00051 $0.02335
Opus 5 $0.00026 $0.01167
Sonnet 5 $0.00010 $0.00467
Haiku 4.5 $0.00005 $0.00233

Measured 11d ago against content hash 5179e2ae35d2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, 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 11d 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 · 382 lines

How it starts

The opening of the file, as written. The whole thing — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research

Find, validate, and archive research that grounds fiction in authentic culture, accurate technical specifications, and verifiable context.

The Iron Law

SOURCE EVERYTHING. No research note without URL/date. Save to 03_Research/ with proper metadata.

Core Mission

Fight the Wikipedia-tourist trap: Move beyond surface-level details to lived experience, technical precision, and period-specific accuracy.

Serve the story: Research should deepen atmosphere, illuminate setting, and ground fiction in concrete reality.

When to Use

  • When scene needs real-world accuracy (called by writing-mode)
  • When user asks for research on topic
  • When query-context identifies research gaps
  • When creating entity that needs real-world grounding
  • Called by thinking-mode for research needs
  • Cultural authenticity questions
  • Technical specifications needed
  • Historical accuracy required

Research Categories

Organized by 03_Research/ subdirectories:

Culture/

  • Language patterns, slang, colloquialisms
  • Social customs and daily life
  • Subcultural groups and communities
  • Food, drink, and domestic rituals
  • Generational and class distinctions

History/

  • Political climate and events
  • Economic conditions
  • Social movements
  • Cultural shifts
  • Period-specific context

Technology/

  • Period-appropriate tech
  • Infrastructure state
  • Communication methods
  • Transportation
  • Tools and equipment

Geography/

  • Location characteristics
  • Routes and distances
  • Landmarks and notable places
  • Environmental details
  • How geography affects story

Equipment/

  • Technical specifications
  • Operational characteristics
  • Availability and access
  • Maintenance and limitations
  • Costs and consequences of use

The Process

Phase 1: Define Research Need

Clarify:

  • What specific information is needed?
  • What time period? (check project settings for relevant era)
  • What category? (Culture, History, Geography, Equipment, Technology)
  • What depth? (Quick fact vs. deep dive)

Read the full file on GitHub · 382 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. 11d ago First seen · 382 lines · 51 tokens per session scan A 5179e2ae35d2

Subscribe to this mod's changes

research is a skill published in the GitHub repository reluctantfuturist/loyal-wingman (7 stars, last pushed 8mo ago), licensed MIT. It adds 51 tokens to every session and 2,335 once invoked, about $0.0003 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 2026-08-31.

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

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

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens