Marin is an open-source research program, software platform, and community for developing foundation models such as large language models. Researchers use it for data preparation, tokenization, pretraining, posttraining, evaluation, and related experiments, including work on audio-text, DNA, and protein models. The catalogue entries are add-ons that support workflows around Marin.
Borrowing it
Nothing to install: this file belongs to marin-community/marin. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/marin-community/marin/main/.agents/skills/research-engineering/SKILL.mdgit clone --depth 1 https://github.com/marin-community/marinWrote 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/marin-community/marin/research-engineering)<a href="https://agentmods.dev/skills/marin-community/marin/research-engineering"><img src="https://agentmods.dev/badge/skills/marin-community/marin/research-engineering/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/marin-community/marin/research-engineering"><img src="https://agentmods.dev/badge/skills/marin-community/marin/research-engineering.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 | $0.00049 | $0.00639 |
| Opus 5.5 | $0.00020 | $0.00256 |
| Sonnet 5.5 | $0.00010 | $0.00128 |
| Haiku 4.5 | $0.00005 | $0.00064 |
Grade A, and why
research-engineering 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 14d 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research engineering
Use this skill when answering a question requires exploring alternatives, analyzing data or artifacts, or iterating on experiments before choosing an implementation. Work can start before any run is launched. Background research alone follows experiment records.
Read the research engineering guide
for the record, branch, and promotion workflow. Read the current
marin-logbooks guidelines
before creating or updating its branches; research branches inherit Marin's
root instructions rather than the logbooks index branch's instructions.
Coordinate the work
- Start from the decision, baseline, constraints, and useful stopping condition.
Search prior work through
use-echoand inspect the current checkout. - Use a task issue in
marin-community/marin-logbooksas the public entry point. Reuse an existing issue; when the task authorizes a new public research program, usefile-issuewith target repositorymarin-community/marin-logbooksto create its coordinating issue. An existing Marin issue can link to it. Do not publish private work without authorization. - Work on a Marin-derived branch in logbooks. Preserve the notebook and supporting analysis alongside the actual experimental source changes.
- Record why each meaningful alternative was tried, the evidence it produced, what was learned, and the next decision. Commit and push supporting code and notebook entries before a milestone issue update or handoff.
- Keep the issue body current and its comments useful as a readable account of the important attempts, results, and changes of direction.
- Extract selected code into Marin contribution branches. Use
manage-prfor their validation, publication, and feedback; keep the research branch intact. A useful negative result can finish a program without a code PR.
What ships with it
1 file 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.
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.
- 14d ago First seen · 54 lines · 49 tokens per session scan A 9ac71f9efd97
research-engineering is a skill published in the GitHub repository marin-community/marin (4,074 stars, last pushed today), licensed Apache-2.0. It adds 49 tokens to every session and 639 once invoked, about $0.0002 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 2026-10-24.
research-engineering compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| research-engineeringmarin-community/marin | Skill | 4.1k | today | Apache-2.0 | A | 49 | Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | today | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |