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.
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 agentmods add skills/marin-community/marin/scrub-docs-code-paritynpx skills add marin-community/marin --skill scrub-docs-code-paritygit 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/scrub-docs-code-parity)<a href="https://agentmods.dev/skills/marin-community/marin/scrub-docs-code-parity"><img src="https://agentmods.dev/badge/skills/marin-community/marin/scrub-docs-code-parity.svg" alt="Measured on agentmods" 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 | $0.00027 | $0.00386 |
| Opus 5 | $0.00014 | $0.00193 |
| Sonnet 5 | $0.00005 | $0.00077 |
| Haiku 4.5 | $0.00003 | $0.00039 |
Grade A, and why
scrub-docs-code-parity 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 5d 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.
What it actually says
scrub-docs-code-parity
Use this skill on scheduled scrub turns for docs/code parity in marin-community/marin.
Focus
- Prioritize high-confidence drift in
README.md,docs/,.agents/docs/, and operator-facing scripts. - Confirm command examples match current tooling conventions (
uv run, repo scripts, and documented workflows). - Apply concrete corrections when drift is real; avoid status-only updates.
Decision Heuristics
- Prefer updating docs when current behavior is clear and intentional.
- If implementation is clearly wrong relative to documented intent, update code and docs together.
- Keep scope small and land one useful parity improvement per run when possible.
- If no material drift is found, choose a no-op outcome and keep cadence near daily.
Output
- Keep the final scrub response concise and action-focused.
- Treat local-only edits as incomplete work. If you modify files, publish the result (commit/push and open or update a PR per
.agents/skills/commit/SKILL.md) before finishing this scrub run. - If publish is blocked (auth, permissions, CI infra, etc.), report the blocker and set a future
needs_followup_atinstead of ending the run. - If no material drift is found, explicitly report inspected scope and why no change was needed.
- End the run with exactly one footer line of valid one-line JSON:
HARNESS_SCRUB_LOOP {"needs_followup_at":null}. Setneeds_followup_atto null when the run is complete, or a future RFC 3339 timestamp when another follow-up turn is needed.
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.
- 5d ago First seen · 32 lines · 27 tokens per session scan A 034c2e92db5c
scrub-docs-code-parity is a skill published in the GitHub repository marin-community/marin (3,403 stars, last pushed today), licensed Apache-2.0. It adds 27 tokens to every session and 386 once invoked, about $0.0001 per session on Opus 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…