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/manage-pr/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/manage-pr)<a href="https://agentmods.dev/skills/marin-community/marin/manage-pr"><img src="https://agentmods.dev/badge/skills/marin-community/marin/manage-pr/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/manage-pr"><img src="https://agentmods.dev/badge/skills/marin-community/marin/manage-pr.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 | $0.00027 | $0.02512 |
| Opus 5.5 | $0.00011 | $0.01005 |
| Sonnet 5.5 | $0.00005 | $0.00502 |
| Haiku 4.5 | $0.00003 | $0.00251 |
Grade A, and why
manage-pr 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 — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Manage a pull request
Own the author-side workflow from a reviewable change through publication and
feedback. For an explicitly assigned GitHub issue, first read
issue-driven fixes; it covers diagnosis and duplicate
work before implementation. Other implementation tasks use their domain skill
until the change is ready to publish. review-pr owns independent assessment;
simplify-code owns an explicitly requested cleanup.
Before authoring a commit or PR title or body, read:
docs/dev-guide/writing-style/index.mddocs/dev-guide/writing-style/pull-requests.mddocs/dev-guide/writing-style/ai-writing-donts.md
Clean and format the diff, commit it, then run advisory review and independent validation concurrently. Resolve their results before pushing and publishing, then monitor the PR. A WIP checkpoint may stop after clean-up, lint, staging, commit, and push.
1. Clean up your own diff
Read the complete branch diff and remove dead code, weak tests, stale prose, debugging artifacts, and unrelated changes.
If the diff touches tests and this commit is intended for a PR or review, read
root TESTING.md and the relevant module-specific AGENTS.md or testing docs
as part of this self-review. Apply TESTING.md's behavioral-value gate to every
changed test. Delete disposable probes and low-value tests before a PR-ready
commit.
2. Lint and format
./infra/pre-commit.py --changed-files --fix # diff-scoped; use --all-files for a full sweep
This is the required entry point; do not substitute uv run pre-commit, skip
hooks, or weaken checks.
Finish automatic fixes before starting concurrent readers of the diff. This entry point also runs Pyrefly when applicable; do not repeat an equivalent standalone type check on unchanged inputs.
3. Stage changes
Review git status and git diff, then stage only this task's explicit files.
Never stage secrets or unrelated work.
4. Commit
Follow docs/dev-guide/writing-style/pull-requests.md for the commit subject and body.
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 Changed · +34 lines 40cc9d6a72a6
- 15d ago First seen · 208 lines · 27 tokens per session scan A 848a16b79251
manage-pr is a skill published in the GitHub repository marin-community/marin (4,074 stars, last pushed today), licensed Apache-2.0. It adds 27 tokens to every session and 2,512 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 2026-10-23.
manage-pr compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| manage-prmarin-community/marin | Skill | 4.1k | today | Apache-2.0 | A | 27 | Claude Code, Codex |
| review-implement-phaseprisma/orm | Skill | 48k | yesterday | Apache-2.0 | A | 38 | Claude Code |
| github-pr-workflowpaperclipai/paperclip | Skill | 111k | today | MIT | A | 39 | Claude Code, Codex |
| review-deltatirth8205/code-review-graph | Skill | 33k | 8d ago | MIT | A | 24 | Claude Code |
| github-contributordaymade/claude-code-skills | Skill | 1.5k | yesterday | MIT | A | 105 | Claude Code, Codex |
| hero-diff-highlightUnclecheng-li/AI_Animation | Skill | 1.7k | 11d ago | MIT | A | 0 | Claude Code, Codex |
| lean-reviewSnowflake-Labs/cocoplus | Skill | 727 | 2d ago | MIT | A | 44 | Claude Code |