research-essay

research-essay is a skill for Claude Code, Codex from chemaoxfz/idea-to-essay. It costs 80 tokens per session (2,104 once invoked), scanned A, original, MIT.

A workflow that turns a research idea into a standalone HTML essay grounded in published literature. It downloads and verifies full papers, analyzes data, creates figures, and places the result in a project folder.

In plain words
What is it for?
It helps gather literature, verify papers, run analyses, produce figures, and write a single HTML page with sections and a table of contents.
Why use it?
It connects the written explanation to checked source papers and reproducible numbers instead of relying on abstracts or memory.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the idea-to-essay plugin — 1 skill shipped together

Good fit It helps gather literature, verify papers, run analyses, produce figures, and write a single HTML page with sections and a table of contents.

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

Made for: Claude Code, Codex.

Or install idea-to-essay, the plugin that ships this one along with the rest of its 1 skill.

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-essay

README.md
[![agentmods](https://agentmods.dev/badge/skills/chemaoxfz/idea-to-essay/research-essay/github.svg)](https://agentmods.dev/skills/chemaoxfz/idea-to-essay/research-essay)
Your own site
<a href="https://agentmods.dev/skills/chemaoxfz/idea-to-essay/research-essay"><img src="https://agentmods.dev/badge/skills/chemaoxfz/idea-to-essay/research-essay/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-essay

Your own site · 80×15
<a href="https://agentmods.dev/skills/chemaoxfz/idea-to-essay/research-essay"><img src="https://agentmods.dev/badge/skills/chemaoxfz/idea-to-essay/research-essay.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,104 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 $0.00080 $0.02104
Opus 5 $0.00040 $0.01052
Sonnet 5 $0.00016 $0.00421
Haiku 4.5 $0.00008 $0.00210

Measured yesterday against content hash eefd4584e014, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

research-essay 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 yesterday.

The scan reads SKILL.md. This mod also ships 6 executable files (scripts/build.py, scripts/check.py, scripts/fetch.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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-essay/SKILL.md · 165 lines

How it starts

The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research essay

Build a project whose central deliverable teaches an idea in conversation with the literature. The default is one standalone HTML file, backed by full texts on disk and reproducible analysis. Respect the user's chosen scope, audience, and format. A focused revision is not a new project.

Non-negotiables

  1. Read the evidence. Retrieve, verify, and inspect the full text of sources that materially inform the argument. Abstracts, snippets, and memory cannot establish a load-bearing claim. If full text is unavailable, record the gap and qualify or defer the dependent claim.
  2. Let evidence change the idea. Log genuine corrections and fix the argument. Report negative results, weakened intuitions, and contrary evidence. Do not manufacture a correction or a result.
  3. Make the correspondence exact. An analogy is not an argument. Name the shared mathematical object or mechanism, its assumptions, and where the correspondence breaks.
  4. Make numbers traceable. Quantitative claims come from runnable project code, an inspected source, or documented figure digitization. Distinguish measurements, assumptions, and model outputs.
  5. Teach before using. Define concepts, quantities, and named cases before interpreting them. A citation does not supply missing context. Keep meanings, units, and notation consistent. Separate derived accounting from assumed response curves. Explain why each chosen form is useful.
  6. Give each section a point. Its question, reasoning, evidence, and takeaway must agree. A definition, limitation, or unresolved decision can be the point. Keep its conditions intact.
  7. Deliver a standalone argument. The reader has neither the chat nor earlier drafts. The prose and the visual sequence must each make sense without that history. In a model-led essay, connect applications and conclusions to that model and name its extensions.
  8. Typeset all mathematics. Use proper mathematical rendering in inline prose, display equations, tables, captions, figure labels, and interactive controls and readouts. Native MathML is the HTML default. Equivalent offline rendering is acceptable. Render figure mathematics with a math engine or properly positioned SVG glyphs. Raw TeX, ASCII subscripts, and monospace approximations are not finished mathematics. Follow the rendering rules in house-style.md.

Read the full file on GitHub · 165 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. yesterday Changed · +8 lines eefd4584e014
  2. 2d ago Changed · -117 lines · -127 tokens per session 25d8162e5955
  3. 11d ago First seen · 274 lines · 207 tokens per session scan A 70e19b65c781

Subscribe to this mod's changes

research-essay is a skill published in the GitHub repository chemaoxfz/idea-to-essay (5 stars, last pushed 2d ago), licensed MIT. It adds 80 tokens to every session and 2,104 once invoked, about $0.0004 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.

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