write-intro

write-intro is a skill for Claude Code, Codex from DataLab-atom/EvoAny. It costs 31 tokens per session (897 once invoked), scanned A, original, Apache-2.0.

A skill that writes an academic paper’s Introduction in LaTeX, a text format commonly used for scientific documents, from a research derivation forest’s key findings and contributions.

In plain words
What is it for?
Use it with a forest identifier to generate an Introduction section, optionally tailored to a venue such as NeurIPS or ICML.
Why use it?
It turns the research motivation, problem gap, contributions, and supporting evidence into a structured introduction for a chosen conference or journal.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it with a forest identifier to generate an Introduction section, optionally tailored to a venue such as NeurIPS or ICML.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/datalab-atom/evoany/write-intro
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 DataLab-atom/EvoAny --skill write-intro
Clone the repo
git clone --depth 1 https://github.com/DataLab-atom/EvoAny

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 write-intro

README.md
[![agentmods](https://agentmods.dev/badge/skills/datalab-atom/evoany/write-intro/github.svg)](https://agentmods.dev/skills/datalab-atom/evoany/write-intro)
Your own site
<a href="https://agentmods.dev/skills/datalab-atom/evoany/write-intro"><img src="https://agentmods.dev/badge/skills/datalab-atom/evoany/write-intro/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 write-intro

Your own site · 80×15
<a href="https://agentmods.dev/skills/datalab-atom/evoany/write-intro"><img src="https://agentmods.dev/badge/skills/datalab-atom/evoany/write-intro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 897 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 $0.00031 $0.00897
Opus 5.5 $0.00012 $0.00359
Sonnet 5.5 $0.00006 $0.00179
Haiku 4.5 $0.00003 $0.00090

Measured 2mo ago against content hash 87e2f7e5b563, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

write-intro 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 2mo 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.

plugin/skills/write-intro/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/write-intro — Introduction Chapter Writing

D4: Introduction chapter generation — transforms the deep motivation Q and contribution list into a compelling introduction for an academic paper.

Purpose

Read the C-layer derivation forest's convergence points (deep motivation Q) and contributions, and generate a well-structured Introduction section in LaTeX format.

Usage

/write-intro <forest_id> [--venue <venue_name>]

Examples:

  • /write-intro exp-2024-run-01 --venue NeurIPS
  • /write-intro my-forest --venue ICML

Prerequisites

Before running this skill, ensure:

  1. The derivation forest has at least one convergence point
  2. Contributions have been recorded (primary and auxiliary)
  3. You know the target conference/journal (for appropriate framing)

Behavior

Step 1: Gather Content

  1. Read the forest: research_get_forest(forest_id)
  2. Extract:
    • Convergence points — the deep motivation Q(s) driving the research
    • Primary contributions — what makes this work novel
    • Auxiliary contributions — additional benefits
    • Evidence nodes — supporting context
  3. Identify the gap — what problem exists that this work addresses

Step 2: Structure the Introduction

Follow the standard academic introduction structure:

  1. Opening / Hook — Start with the broader problem area and its importance
  2. Problem Statement — Describe the specific challenge or limitation
  3. Existing Approaches and Their Limitations — What's been tried and why it falls short
  4. Proposed Approach — How this work addresses the gap (from deep motivation Q)
  5. Key Contributions — Numbered list of primary contributions
  6. Additional Benefits — Auxiliary contributions
  7. Broader Impact (optional) — Wider implications of the work
  8. Paper Structure — Brief roadmap of the remaining sections

Step 3: Generate LaTeX Content

Draft the introduction in academic prose:

  • Use formal academic language
  • Build a logical narrative from problem to solution
  • Clearly articulate what makes this work novel
  • Be specific about contributions (not generic claims)

Read the full file on GitHub · 122 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. 2mo ago First seen · 122 lines · 31 tokens per session scan A 87e2f7e5b563

Subscribe to this mod's changes

write-intro is a skill published in the GitHub repository DataLab-atom/EvoAny (37 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 31 tokens to every session and 897 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.

Related

write-intro compared with skills from other repositories

write-intro next to 6 skills from other repositories
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