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.
git clone --depth 1 https://github.com/llv22/AutoResearchWithEyesWrote 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/commands/llv22/autoresearchwitheyes/autor.paper-writing)<a href="https://agentmods.dev/commands/llv22/autoresearchwitheyes/autor.paper-writing"><img src="https://agentmods.dev/badge/commands/llv22/autoresearchwitheyes/autor.paper-writing/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.
<a href="https://agentmods.dev/commands/llv22/autoresearchwitheyes/autor.paper-writing"><img src="https://agentmods.dev/badge/commands/llv22/autoresearchwitheyes/autor.paper-writing.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00069 | $0.02336 |
| Opus 5 | $0.00034 | $0.01168 |
| Sonnet 5 | $0.00014 | $0.00467 |
| Haiku 4.5 | $0.00007 | $0.00234 |
Grade A, and why
autor.paper-writing 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 8d 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 — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workflow 3: Paper Writing Pipeline
Orchestrate a complete paper writing workflow for: $ARGUMENTS
Overview
This skill chains five sub-skills into a single automated pipeline:
/paper-plan → /paper-figure → /paper-write → /paper-compile → paper-improver agent
(outline) (plots) (LaTeX) (build PDF) (review & polish ×2)
Each phase builds on the previous one's output. The final deliverable is a polished, reviewed paper/ directory with LaTeX source and compiled PDF.
Constants
All constants (MAX_IMPROVEMENT_ROUNDS, REVIEWER_MODEL, AUTO_PROCEED) are defined in the project's CLAUDE.md. Read them from there before proceeding.
- VENUE — User-provided at runtime. No default — ask the user if not specified.
Override inline:
/autor.paper-writing "NARRATIVE_REPORT.md" — venue: NeurIPS, wait for my approval at each step
Inputs
This pipeline accepts one of:
NARRATIVE_REPORT.md(best) — structured research narrative with claims, experiments, results, figures- Research direction + experiment results — the skill will help draft the narrative first
- Existing
PAPER_PLAN.md— skip Phase 1, start from Phase 2
The more detailed the input (especially figure descriptions and quantitative results), the better the output.
Pipeline
Phase 1: Paper Plan
Invoke /paper-plan to create the structural outline:
/paper-plan "$ARGUMENTS"
What this does:
- Parse NARRATIVE_REPORT.md for claims, evidence, and figure descriptions
- Build a Claims-Evidence Matrix — every claim maps to evidence, every experiment supports a claim
- Design section structure (5-8 sections depending on paper type)
- Plan figure/table placement with data sources
- Scaffold citation structure
- REVIEWER_MODEL reviews the plan for completeness
Output: PAPER_PLAN.md with section plan, figure plan, citation scaffolding.
Checkpoint: Present the plan summary to the user.
Paper plan complete:
- Title: [proposed title]
- Sections: [N] ([list])
- Figures: [N] auto-generated + [M] manual
- Target: [VENUE], [PAGE_LIMIT] pages
Shall I proceed with figure generation?
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.
- 8d ago First seen · 270 lines · 69 tokens per session scan A 687433696c94
autor.paper-writing is a command published in the GitHub repository llv22/AutoResearchWithEyes (5 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 2,336 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.
Other commands, from other repositories
latex-polish
Inspect a cleanly compiling LaTeX document for source pathologies and rendered visual defects by linting and viewing selected PDF pages. Use when compilation succeeds but title pages, floats, tables, figures, or layout still need publication-quality review. Not for basic compilation health; use $latex-health-check.
latex
Compile one specified LaTeX document, resolve build errors, audit citations, and report build quality. Use when a .tex source must be built or a concrete compilation failure repaired. Not for corpus-wide build checks, visual polish after a clean build, or creating a project; use $latex-health-check, $latex-polish, or…
bib-filter
Filter a LaTeX project's bibliography to the entries actually cited, with Overleaf-source resolution, temporary staging, validation, approval-gated canonical replacement, and compilation. Use before submission or after large revisions.
wtfp:export-latex
Export the manuscript and bibliography to portable LaTeX source with declared formatting.
render-figures
Compile all .tex and .typ figure files in a directory.
paper-tex
Typeset the draft below as a house-style LaTeX paper and build the PDF. Detect the input format and convert the body with pandoc, wrap it in the EB Garamond template under assets/, and build with latexmk via scripts/formatpaper.py. Then do the house-specific finishing by hand: \figcap title+note captions, [H] floats…