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.
npx skills add DataLab-atom/EvoAny --skill paper-assemblegit clone --depth 1 https://github.com/DataLab-atom/EvoAnyWrote 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.
[](https://agentmods.dev/skills/datalab-atom/evoany/paper-assemble)<a href="https://agentmods.dev/skills/datalab-atom/evoany/paper-assemble"><img src="https://agentmods.dev/badge/skills/datalab-atom/evoany/paper-assemble.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00042 | $0.00794 |
| Opus 5 | $0.00021 | $0.00397 |
| Sonnet 5 | $0.00008 | $0.00159 |
| Haiku 4.5 | $0.00004 | $0.00079 |
Grade A, and why
paper-assemble 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/paper-assemble — Paper Assembly
E: Paper assembly — combines D-layer chapter files into a complete LaTeX paper, integrates bibliography, and performs consistency checks.
Purpose
After D-layer chapters (intro, related, method, experiment) have been generated and
written to research/paper/sections/, this skill assembles them into a full paper
by merging with a LaTeX template.
Usage
/paper-assemble [--forest <forest_id>] [--venue <venue_name>]
Examples:
/paper-assemble --forest exp-2024-run-01 --venue NeurIPS/paper-assemble --venue ICML
Prerequisites
- At least the Method section has been written (
research/paper/sections/method.tex) - A LaTeX template exists at
research/paper/template.texOR you want a minimal template auto-generated research/refs/references.bibcontains the relevant citations
Behavior
Step 1: Check Available Sections
- Check
research/paper/sections/for available chapter files:intro.tex— Introductionrelated.tex— Related Workmethod.tex— Methodexperiment.tex— Experimentsconclusion.tex— Conclusion (optional)
Step 2: Load Template
- If
research/paper/template.texexists, use it - Otherwise, generate a minimal template
Step 3: Assemble Paper
The assembler:
- Reads each section file
- Substitutes
\input{sections/<name>}placeholders in the template - Integrates bibliography references
- Performs consistency checks
Step 4: Consistency Checks
The assembler automatically checks for:
- Citation consistency — all cited keys appear in
references.bib - Figure references —
\ref{fig:...}has a corresponding\includegraphics - Notation consistency — math notation usage across sections
- Format compliance — template structure integrity
Step 5: Write Output
- Output path:
research/paper/paper.tex - Report any consistency issues (warnings/errors)
Consistency Issues
The assembler will flag these types of issues:
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.
- 7d ago First seen · 109 lines · 42 tokens per session scan A e76fce50da21
paper-assemble is a skill published in the GitHub repository DataLab-atom/EvoAny (37 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 42 tokens to every session and 794 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 2026-08-30.
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