Moltis is a persistent personal agent server written in Rust that runs on hardware controlled by its user. It provides an AI agent with sandboxed command execution, model-provider connections, memory, voice, scheduling, messaging integrations, browser automation, and MCP tools. Its catalogue add-ons extend the agent’s workflows and available tools.
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 moltis-org/moltis --skill research-paper-writinggit clone --depth 1 https://github.com/moltis-org/moltisWrote 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/moltis-org/moltis/research-paper-writing)<a href="https://agentmods.dev/skills/moltis-org/moltis/research-paper-writing"><img src="https://agentmods.dev/badge/skills/moltis-org/moltis/research-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/skills/moltis-org/moltis/research-paper-writing"><img src="https://agentmods.dev/badge/skills/moltis-org/moltis/research-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 | $0.00064 | $0.24633 |
| Opus 5 | $0.00032 | $0.12316 |
| Sonnet 5 | $0.00013 | $0.04927 |
| Haiku 4.5 | $0.00006 | $0.02463 |
Grade B, and why
research-paper-writing scanned grade B with 2 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
# Linux: sudo apt install latexdiff Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.get( This is a copy
84% identical to research-paper-writing — 565 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 — 2,368 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Paper Writing Pipeline
End-to-end pipeline for producing publication-ready ML/AI research papers targeting NeurIPS, ICML, ICLR, ACL, AAAI, and COLM. This skill covers the full research lifecycle: experiment design, execution, monitoring, analysis, paper writing, review, revision, and submission.
This is not a linear pipeline — it is an iterative loop. Results trigger new experiments. Reviews trigger new analysis. The agent must handle these feedback loops.
┌─────────────────────────────────────────────────────────────┐
│ RESEARCH PAPER PIPELINE │
│ │
│ Phase 0: Project Setup ──► Phase 1: Literature Review │
│ │ │ │
│ ▼ ▼ │
│ Phase 2: Experiment Phase 5: Paper Drafting ◄──┐ │
│ Design │ │ │
│ │ ▼ │ │
│ ▼ Phase 6: Self-Review │ │
│ Phase 3: Execution & & Revision ──────────┘ │
│ Monitoring │ │
│ │ ▼ │
│ ▼ Phase 7: Submission │
│ Phase 4: Analysis ─────► (feeds back to Phase 2 or 5) │
│ │
└─────────────────────────────────────────────────────────────┘
When To Use This Skill
Use this skill when:
- Starting a new research paper from an existing codebase or idea
- Designing and running experiments to support paper claims
- Writing or revising any section of a research paper
- Preparing for submission to a specific conference or workshop
- Responding to reviews with additional experiments or revisions
- Converting a paper between conference formats
- Writing non-empirical papers — theory, survey, benchmark, or position papers (see Paper Types Beyond Empirical ML)
- Designing human evaluations for NLP, HCI, or alignment research
- Preparing post-acceptance deliverables — posters, talks, code releases
What ships with it
54 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/autoreason-methodology.md 19 KB
- references/checklists.md 13 KB
- references/citation-workflow.md 15 KB
- references/experiment-patterns.md 25 KB
- references/human-evaluation.md 18 KB
- references/paper-types.md 16 KB
- references/reviewer-guidelines.md 13 KB
- references/sources.md 9.2 KB
- references/writing-guide.md 16 KB
- templates/aaai2026/aaai2026-unified-supp.tex 4.4 KB
- templates/aaai2026/aaai2026-unified-template.tex 62 KB
- templates/aaai2026/aaai2026.bib 4.7 KB
- templates/aaai2026/aaai2026.bst 29 KB
- templates/aaai2026/aaai2026.sty 12 KB
- templates/aaai2026/README.md 18 KB
- templates/acl/acl_latex.tex 14 KB
- templates/acl/acl_lualatex.tex 3.0 KB
- templates/acl/acl_natbib.bst 44 KB
- templates/acl/acl.sty 11 KB
- templates/acl/anthology.bib.txt 1.1 KB
- templates/acl/custom.bib 2.0 KB
- templates/acl/formatting.md 18 KB
- templates/acl/README.md 2.1 KB
- templates/colm2025/colm2025_conference.bib 496 B
- templates/colm2025/colm2025_conference.bst 26 KB
- templates/colm2025/colm2025_conference.pdf 120 KB
- templates/colm2025/colm2025_conference.sty 7.5 KB
- templates/colm2025/colm2025_conference.tex 13 KB
- templates/colm2025/fancyhdr.sty 20 KB
- templates/colm2025/math_commands.tex 12 KB
- templates/colm2025/natbib.sty 44 KB
- templates/colm2025/README.md 51 B
- templates/iclr2026/fancyhdr.sty 20 KB
- templates/iclr2026/iclr2026_conference.bib 629 B
- templates/iclr2026/iclr2026_conference.bst 26 KB
- templates/iclr2026/iclr2026_conference.pdf 196 KB
- templates/iclr2026/iclr2026_conference.sty 8.8 KB
- templates/iclr2026/iclr2026_conference.tex 17 KB
- templates/iclr2026/math_commands.tex 12 KB
- templates/iclr2026/natbib.sty 44 KB
- templates/icml2026/algorithm.sty 2.2 KB
- templates/icml2026/algorithmic.sty 7.2 KB
- templates/icml2026/example_paper.bib 2.0 KB
- templates/icml2026/example_paper.pdf 189 KB
- templates/icml2026/example_paper.tex 29 KB
- templates/icml2026/fancyhdr.sty 31 KB
- templates/icml2026/icml_numpapers.pdf 2.8 KB
- templates/icml2026/icml2026.bst 27 KB
- templates/icml2026/icml2026.sty 27 KB
- templates/neurips2025/extra_pkgs.tex 2.8 KB
- templates/neurips2025/main.tex 574 B
- templates/neurips2025/Makefile 1.0 KB
- templates/neurips2025/neurips.sty 11 KB
- templates/README.md 6.5 KB
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 · 2,368 lines · 64 tokens per session scan B 7b1a37f051e9
research-paper-writing is a skill published in the GitHub repository moltis-org/moltis (2,851 stars, last pushed today), licensed MIT. It adds 64 tokens to every session and 24,633 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (asks for root, makes network calls). It is 84% identical to research-paper-writing, differing in 565 lines, and is treated as a copy.
Other skills, from other repositories
pubmed-cli
Search PubMed, fetch article metadata, traverse citation graphs, and look up MeSH terms from the command line. Use when: (1) Searching PubMed with Boolean/MeSH queries, (2) Fetching article details by PMID (abstract, authors, DOI, MeSH terms), (3) Finding papers that cite a given article (cited-by), (4) Finding papers…
experiment-provenance
Capture experiment provenance with reproducible run metadata, artifact pointers, and decision logs for scientific claims.
scientific-writing
Draft and revise scientific manuscript sections with claim-evidence alignment and reproducible method reporting.
deep-research
Use when the user explicitly needs a rigorous, cited, formal research report on a complex scientific, technical, policy, or market topic.
biorxiv-database
Search and summarize preprints from bioRxiv/medRxiv with explicit date windows and traceable query logs.
quarto-authoring
Author and render Quarto manuscript documents (.qmd) with consistent formatting and loop-by-loop updates.