creative-research

creative-research is a skill for Claude Code, Codex from Natsummerance/readMD. It costs 50 tokens per session (669 once invoked), scanned A, a copy of creative-research, MIT.

A research skill for finding reliable, sourced material that helps make fiction historically, culturally, or technically accurate.

In plain words
What is it for?
Use it to research history, culture, mythology, specialized topics, and how other writers have handled similar material.
Why use it?
It gives the writer evidence and context when they do not know enough about the story’s setting or subject.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/natsummerance/readmd/creative-research
Any agent
npx skills add Natsummerance/readMD --skill creative-research
Clone the repo
git clone --depth 1 https://github.com/Natsummerance/readMD

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 creative-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/natsummerance/readmd/creative-research.svg)](https://agentmods.dev/skills/natsummerance/readmd/creative-research)
Your own site
<a href="https://agentmods.dev/skills/natsummerance/readmd/creative-research"><img src="https://agentmods.dev/badge/skills/natsummerance/readmd/creative-research.svg" alt="Measured on agentmods" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 669 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 91% copy Near-identical to another mod 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 $0.00050 $0.00669
Opus 5 $0.00025 $0.00334
Sonnet 5 $0.00010 $0.00134
Haiku 4.5 $0.00005 $0.00067

Measured 3d ago against content hash a208938c3171, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

creative-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 3d 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.

Origin

This is a copy

91% identical to creative-research — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

assets/upstream/haowjy-creative-writing-skills/fd7a3ad9cd7697a0645ff6ff4bd5e809cf7673a3/skills/creative-research/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Creative Research

Gather material the writer can use. Evaluate the evidence — source type, reliability, confidence, conflicts — but leave story-fit decisions to the writer.

What to Look For

Primary sources. Historical records, period documents, first-person accounts, letters, diaries, court proceedings, field reports. These carry detail and texture that secondary summaries flatten.

Reference works and published fiction. Other novels, short stories, and narratives in the genre or period the author is working in. How have other writers handled similar material, settings, or problems?

History, mythology, and lore. Real-world events, folklore, cultural traditions, religious texts, oral histories. Look for the specific and surprising over the general and expected.

Wikis and encyclopedias. Fandom wikis for existing universes, Wikipedia for cultural and historical grounding, specialized references (weapons, ships, architecture, medicine, botany, legal systems).

Community discussion. Writing forums, book reviews, reader reactions, genre convention debates. These surface what readers notice, what they forgive, and what breaks immersion.

Social media and interviews. Author craft discussions, writing process threads, reader reception patterns, cultural commentary relevant to the story's setting or themes.

Domain expertise. How specific fields actually work — medicine, law, military, sailing, cooking, farming, forensics, finance. The operational details that make fiction feel grounded. Look for practitioner accounts over textbook summaries.

Place and culture. Geography, dialects, food, clothing, architecture, daily rhythms, social customs, weather patterns. The sensory and social texture of a setting.

Search for current sources over training-data recall. Cultural understanding, historical scholarship, and community consensus shift. Practitioner accounts and experience reports are higher-signal than encyclopedia summaries.

Read the full file on GitHub · 79 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. 3d ago First seen · 79 lines · 50 tokens per session scan A a208938c3171

Subscribe to this mod's changes

creative-research is a skill published in the GitHub repository Natsummerance/readMD (20 stars, last pushed 5d ago), licensed MIT. It adds 50 tokens to every session and 669 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to creative-research, differing in 9 lines, and is treated as a copy.

Related

Other skills, from other repositories

gonavi-cli

Operate databases through the GoNavi headless CLI — the gonavi executable shipped in verified GitHub Release archives. Covers listing/adding/importing saved connections, running SQL queries against saved connections or ad-hoc connection files, exporting result sets to csv/json/md/html/xlsx, batch-executing SQL files…

Syngnat/GoNavi · 144 tokens

bibverify

Verify, repair, explain, and generate BibTeX references with Bibverify's DOI-first CLI and MCP tools.

Hylouis233/bibverify · 26 tokens

memory

Use this skill when Pioneer should proactively use durable memory or recalled context: decide whether memory can improve a turn, answer from remembered user/project facts, request memory tools, search/list/get stored memories, save durable preferences or project decisions, forget memories, audit or clean up memory, or…

pioneerdotai/pioneer · 64 tokens

computer-use

Windows 桌面自动化执行规则。使用 screeninteractor 观察与操作原生桌面应用。.

Plocr/Reasonix-computer-use · 23 tokens

trellis-brainstorm

Guides collaborative requirements discovery before implementation. Creates task directory, seeds PRD, asks high-value questions one at a time, researches technical choices, and converges on MVP scope. Use when requirements are unclear, there are multiple valid approaches, or the user describes a new feature or complex…

fy-agent/fyagent · 65 tokens

trellis-update-spec

Captures executable contracts and coding conventions into .trellis/spec/ documents. Use when learning something valuable from debugging, implementing, or discussion that should be preserved for future sessions.

fy-agent/fyagent · 40 tokens