DeepScientist is a local research studio that manages the cycle from baseline experiments through research findings and paper-ready outputs. Researchers use it to organize autonomous scientific investigations, review progress, and take control when needed. The catalogue add-ons provide workflows and agent integrations for running research projects with it.
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 ResearAI/DeepScientist --skill writegit clone --depth 1 https://github.com/ResearAI/DeepScientistWrote 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/researai/deepscientist/write)<a href="https://agentmods.dev/skills/researai/deepscientist/write"><img src="https://agentmods.dev/badge/skills/researai/deepscientist/write/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/researai/deepscientist/write"><img src="https://agentmods.dev/badge/skills/researai/deepscientist/write.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00027 | $0.11060 |
| Opus 5.5 | $0.00011 | $0.04424 |
| Sonnet 5.5 | $0.00005 | $0.02212 |
| Haiku 4.5 | $0.00003 | $0.01106 |
Grade A, and why
write 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 1mo 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 — 814 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write
Match Signals
- Use when an accepted baseline and at least one meaningful result already exist, and the main blocker is now drafting, revising, bundling, or tightening a paper/report.
- Strong triggers: draft a paper/report, revise a section, synchronize claim-evidence support, prepare a paper bundle, or upgrade an existing draft into a stronger conference submission.
- If the task is specifically "upgrade an existing draft toward top-conference / oral quality", use the
Draft To Top Conference Oralsection below. - Do not use when the evidence base is still weak or unstable, the main need is new experiments / baselines / ideation, or the request is only literature search.
One-Sentence Summary
- Refresh the paper contract first, then draft section-by-section from durable evidence; if evidence, figures, or citations are not ready, repair or route back instead of writing around the gap.
Pre-write Revision Strategy Gate
Before editing a manuscript, first produce a concrete revision strategy from the current evidence state. Do not begin polishing prose until the strategy separates:
- evidence gaps: require new analysis, rerun, or claim downgrade
- manuscript-mapping gaps: completed results missing from main text, table, figure, or appendix
- unsupported writing: claims present in the draft without durable result artifacts
- narrative / positioning gaps: weak framing, novelty boundary, contribution logic
- citation gaps: too few or weak references for the claimed scope
- metadata drift: matrix, ledger, outline, figures, tables, and manuscript disagree
For each issue, choose exactly one action:
- run or request analysis
- downgrade or remove the claim
- add result to main text
- move result to appendix with a clear bridge
- add or repair a table/figure
- add verified citations
- repair the paper contract before writing
- route to review / decision instead of writing
Never make an unsupported claim sound more convincing. If evidence is missing, either obtain evidence, narrow the claim, or mark the blocker.
What ships with it
57 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/experiments_analysis_patterns.md 4.8 KB
- references/oral_package_patterns.md 9.0 KB
- references/oral_writing_principles.md 8.3 KB
- references/section_rewrite_checklist.md 9.1 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/asplos2027/main.tex 15 KB
- templates/asplos2027/references.bib 5.1 KB
- templates/colm2025/colm2025_conference.bib 496 B
- templates/colm2025/colm2025_conference.bst 26 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/DEEPSCIENTIST_NOTES.md 990 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.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.tex 29 KB
- templates/icml2026/fancyhdr.sty 31 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/nsdi2027/main.tex 15 KB
- templates/nsdi2027/references.bib 5.7 KB
- templates/nsdi2027/usenix-2020-09.sty 2.2 KB
- templates/osdi2026/main.tex 14 KB
- templates/osdi2026/references.bib 5.6 KB
- templates/osdi2026/usenix-2020-09.sty 2.2 KB
- templates/README.md 11 KB
- templates/sosp2026/main.tex 17 KB
- templates/sosp2026/references.bib 5.3 KB
- templates/UPSTREAM_LICENSE.txt 1.1 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.
- 1mo ago First seen · 814 lines · 27 tokens per session scan A e5f6b28b8a73
write is a skill published in the GitHub repository ResearAI/DeepScientist (3,376 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 27 tokens to every session and 11,060 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.
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