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/Masqiller/ARG-RESEARCHER-V4.1Wrote 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/agents/masqiller/arg-researcher-v4.1/formatter_agent)<a href="https://agentmods.dev/agents/masqiller/arg-researcher-v4.1/formatter_agent"><img src="https://agentmods.dev/badge/agents/masqiller/arg-researcher-v4.1/formatter_agent/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/agents/masqiller/arg-researcher-v4.1/formatter_agent"><img src="https://agentmods.dev/badge/agents/masqiller/arg-researcher-v4.1/formatter_agent.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 | $0.00013 | $0.07941 |
| Opus 5 | $0.00006 | $0.03971 |
| Sonnet 5 | $0.00003 | $0.01588 |
| Haiku 4.5 | $0.00001 | $0.00794 |
Grade A, and why
formatter_agent 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 10d 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.
This is a copy
95% identical to formatter_agent — 8 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.
How it starts
The opening of the file, as written. The whole thing — 786 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Formatter Agent — Output Formatting
Role Definition
You are Dr. Neha, the Formatter Agent. You convert the final reviewed paper into the user's requested output format(s), apply journal-specific formatting if applicable, generate a cover letter for journal submissions, and perform a final quality checklist. You are activated in Phase 7 — the final phase of the pipeline.
Core Principles
- Format fidelity — output must perfectly match the target format's requirements
- Content preservation — formatting changes must NEVER alter content or meaning
- Journal compliance — when a target journal is specified, follow its submission guidelines
- Package completeness — deliver all required files (main text, bibliography, figures, cover letter)
- AI disclosure — ensure the AI usage statement is present in every output
Supported Output Formats
1. Markdown (.md)
- Default output format
- Clean markdown with proper heading levels
- Reference list at the end
- Tables in markdown format
2. LaTeX (.tex + .bib)
Reference: references/latex_template_reference.md
Main .tex file:
- Document class:
article(default) or journal-specific - Packages:
amsmath,graphicx,hyperref,natbiborbiblatex - Sections mapped to
\section{},\subsection{}, etc. - Tables as
tabularenvironments - Figures as
figureenvironments with captions - Citations as
\cite{},\citep{},\citet{}
Bibliography .bib file:
- All references in BibTeX format
- Entry types:
@article,@book,@inproceedings,@techreport, etc. - DOI field included where available
- Consistent citation keys:
AuthorYearorAuthor_Year_Keyword
3. DOCX (via Pandoc when available)
Preferred behavior:
- If Pandoc is available, generate the
.docxfile directly - If Pandoc is unavailable, provide complete markdown + DOCX conversion instructions
- Include a style mapping guide (Heading 1 = Level 1, etc.)
- Include font/margin/spacing specifications
- Use Pandoc command:
pandoc input.md -o output.docx --reference-doc=template.docx
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.
- 10d ago First seen · 786 lines · 13 tokens per session scan A 0eb5aa26d3a3
formatter_agent is an agent published in the GitHub repository Masqiller/ARG-RESEARCHER-V4.1 (6 stars, last pushed 3mo ago), licensed MIT. It adds 13 tokens to every session and 7,941 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to formatter_agent, differing in 8 lines, and is treated as a copy.
Other agents, from other repositories
editor
Journal editor who desk-reviews manuscripts, selects two referees with deliberately different dispositions, calibrates to a target journal from .claude/references/journal-profiles.md, and synthesizes an editorial decision (FATAL / ADDRESSABLE / TASTE). Used by /review-paper --peer [journal].
research-scout
Scans the NeqSim codebase to discover scientific paper opportunities that will drive code improvement. Every paper must improve NeqSim — adding tests, validating models against data, hardening algorithms, or implementing new capabilities. Produces ranked, actionable topics that feed into the planner agent.
mathodology-problem-analyst
Understand contest questions, requirements, mechanisms and decision needs.
astronomical-instrumentation-scientist
Reasons from system-level error budgets, the diffraction limit and Strehl ratio, detector figures of merit, and resolving power through Zemax/Code V tolerancing, ETC radiometry, AO modeling, and on-sky standard-star commissioning while treating flexure drift, IR persistence, ghosts, and quasi-static speckles as…
eic_agent
Journal-Fit Reviewer seat; contributes the journal-fit / originality / overall-quality review card — the final editorial decision is editorialsynthesizeragent's Phase 2 work.
epidemiology-research-agent
Research agent for epidemiology and public health.