Agent skill

Research

by marin-community in marin-community/marin

Research an explicitly requested Marin question or coordinate a multi-session experiment; find prior work, assess evidence, and record results in the task's existing durable surface.

Apache-2.0Auto-check passed

Install Research

skills CLI
$ npx skills add marin-community/marin --skill research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install marin-community/marin research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/marin-community/marin.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/research .claude/skills/research && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
research
GitHub stars
3.9k
Token cost
~634 tokens
SKILL.md length
330 words
Files
2
Skills in repo
41
Repo updated
First seen
Licence
Apache-2.0

At a glance

Research an explicitly requested Marin question or coordinate a multi-session experiment; find prior work, assess evidence, and record results in the task's existing durable surface.

  • Works in 4 steps: State the question, decision, and… → Search the current checkout for… → Test the leading explanation against… → …
  • SKILL.md covers Choose the record, Investigate and Report
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Research is an agent skill from marin-community/marin. Research an explicitly requested Marin question or coordinate a multi-session experiment; find prior work, assess evidence, and record results in the task's existing durable surface.

Its SKILL.md is about 630 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

The repository describes itself as: Open-source framework for the research and development of foundation models. The licence is Apache-2.0.

Example prompts

  • “/research”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. State the question, decision, and stopping condition.
  2. Search the current checkout for task-local context. Search Echo for Marin
  3. Test the leading explanation against contradictions, negative results, and
  4. Stop when additional sources or experiments no longer change the decision,

What it can do on your machine

Read from SKILL.md and the folder at commit c468793. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Research loads about 634 tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 330 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~634

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from marin-community/marin at commit c468793, republished under its Apache-2.0 licence (© marin-community). 330 words, ~634 tokens.

Download SKILL.mdSave it as .claude/skills/research/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
research
description
Research an explicitly requested Marin question or coordinate a multi-session experiment; find prior work, assess evidence, and record results in the task's existing durable surface.

Research

Use this skill for a requested prior-work brief or research program. Ordinary implementation does not require a research workflow.

Choose the record

Return a compact brief in the conversation for bounded work. For durable or cross-session work, use the task's existing issue, PR, W&B run or report, published report, or durable session channel. Do not create standalone repository design, research, plan, logbook, or snapshot files. If the user explicitly requests a particular artifact, honor that request.

Update docs/ or the relevant OPS.md when the result changes reusable product or operational guidance. Keep raw logs and dense data in their source systems.

Investigate

  1. State the question, decision, and stopping condition.
  2. Search the current checkout for task-local context. Search Echo for Marin context unless the same logical session already completed a relevant search and the question, repository scope, and freshness requirements have not changed. Reuse and cite those results instead of repeating the search. Use primary external sources when the question benefits from outside evidence.
  3. Test the leading explanation against contradictions, negative results, and materially different operating regimes.
  4. Stop when additional sources or experiments no longer change the decision, or when the requested effort is exhausted.

For experiment results, record the exact command, source revision, material configuration, hardware, baseline, result, and interpretation. Label estimates and exploratory results. Record failures that rule out a hypothesis; omit routine debugging history.

Use W&B for scalar series, plots, large comparison tables, or raw artifacts that are too dense for the narrative record. Runs that require direct comparison must share a project. Verify row counts, key uniqueness, aggregation, and the numbers cited in the narrative before publishing a claim.

Report

Scale the response to the decision. Include:

  • the question and conclusion;
  • evidence and source links;
  • contradictions, limitations, and confidence;
  • the next experiment only when it could change the decision.

Do not require a special branch, experiment ID, hypothesis queue, update cadence, issue, tag, or W&B project unless the task itself needs one.

© marin-community, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in .agents/skills/research of marin-community/marin.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit c468793

Compare with similar skills

Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Research this skillmarin-community/marin3.9k—~634Automated safety check: PassApache-2.0
No Explicit Anythedaviddias/Front-End-Checklist74k—~565Automated safety check: PassMIT
Pull Requestspnpm/pnpm37k—~2.2kAutomated safety check: PassMIT
Create Pull Requestcline/cline70k1 repos~1.6kAutomated safety check: PassApache-2.0
Reviewing Pull RequestsTriliumNext/Trilium38k—~4.9kAutomated safety check: PassAGPL-3.0
Pull Requestsquarkusio/quarkus16k—~840Automated safety check: PassApache-2.0

Similar skills

  • No Explicit Any

    thedaviddias/Front-End-Checklist

    A skill your agent uses when reviewing TypeScript files for type safety regressions, during code review of functions that handle external data, or when the codebase has ESLint warnings for…

    74k GitHub stars~565 tokensUpdated 4 days ago
    DevelopmentAuto-check passed
  • Pull Requests

    pnpm/pnpm

    Take a change through a pull request in the pnpm repository — opening it, then staying with it after every push until CI is green and the review round is quiet.

    37k GitHub stars~2.2k tokensUpdated today
    DevelopmentAuto-check passed
  • Opens a GitHub pull request from your current branch with the gh CLI, after reviewing the commits and diff and gathering the details the PR needs.

    70k GitHub starsUsed in 1 repo~1.6k tokens
    DevelopmentAuto-check passed
  • Reviewing Pull Requests

    TriliumNext/Trilium

    A skill your agent uses whenever a Trilium pull request is to be judged — "review PR N", "is

    38k GitHub stars~4.9k tokensUpdated today
    DevelopmentAuto-check passed
  • Pull Requests

    quarkusio/quarkus

    Rules for preparing pull requests and commits in the Quarkus project: title conventions, description format, commit hygiene, labels, and contribution policies.

    16k GitHub stars~840 tokensUpdated today
    DevelopmentAuto-check passed
  • Opens a pull request for the current branch using the repo's template, a work item ID in the title and a description filled in from the actual diff.

    61k GitHub stars~824 tokensUpdated yesterday
    DevelopmentAuto-check passed

More from marin-community/marin

All 41 skills in this repo
  • Noslop

    marin-community/marin

    Deslop, simplify, or review low-value tests and prose only when explicitly requested for a branch or diff.

    3.9k GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Use Iris

    marin-community/marin

    Use Iris to submit, inspect, debug, monitor, or recover jobs and tasks; diagnose scheduling and federation; deploy controllers; or reserve dev GPUs and TPUs.

    3.9k GitHub stars~745 tokensUpdated today
    Auto-check passed
  • Launch Rl

    marin-community/marin

    Define, validate, submit, or restart a Marin SkyRL experiment through its artifact main.

    3.9k GitHub stars~894 tokensUpdated today
    Auto-check passed
  • Marina Applet

    marin-community/marin

    Build, validate, publish, update, inspect, query, roll back, or archive a dynamic Marina applet.

    3.9k GitHub stars~2.3k tokensUpdated today
    Auto-check passed
  • Query Finelog

    marin-community/marin

    Query Finelog logs and telemetry for Iris tasks, workers, profiles, training, vLLM, and cross-cluster forwarding.

    3.9k GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Trace Pulumi Diff

    marin-community/marin

    Run a read-only preview for a specified Marin infra/pulumi stack and trace each pending resource change to merged pull requests since its latest successful update when that update records a clean…

    3.9k GitHub stars~663 tokensUpdated today
    Auto-check passed

Questions about Research

What does Research do?

Research an explicitly requested Marin question or coordinate a multi-session experiment; find prior work, assess evidence, and record results in the task's existing durable surface. Research is an agent skill from marin-community/marin. Research an explicitly requested Marin question or coordinate a multi-session experiment; find prior work, assess evidence, and record results in the task's existing durable surface.

How do I install Research in Claude Code?

Run `npx skills add marin-community/marin --skill research -a claude-code`. Or copy the skill folder (.agents/skills/research in marin-community/marin) into .claude/skills/research in your project. Claude Code loads it when a task matches its description.

How do I install Research in Codex?

Run `npx skills add marin-community/marin --skill research -a codex`. Or copy the skill folder (.agents/skills/research in marin-community/marin) into .agents/skills/research in your project. Codex loads it when a task matches its description.

Can I use Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add marin-community/marin --skill research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research, .gemini/skills/research, .github/skills/research and .opencode/skills/research in your project.

What does Research need to run?

SKILL.md names no scripts, command-line tools or credentials: Research is instructions for the agent only.

Does Research access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Research safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Research use?

Research is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Research use?

About 634 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Research?

Skills that share tags, products or a category with Research: No Explicit Any (thedaviddias/Front-End-Checklist, 74k stars), Pull Requests (pnpm/pnpm, 37k stars), Create Pull Request (cline/cline, 70k stars) and Reviewing Pull Requests (TriliumNext/Trilium, 38k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research?

marin-community (a GitHub organization) maintains it in marin-community/marin, which has 3,921 GitHub stars. The repository holds 41 skills in this directory. The repository was last updated on October 10, 2026.

Source: marin-community/marin on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.