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 ObneyAI/grain --skill grain-genomegit clone --depth 1 https://github.com/ObneyAI/grainWrote 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/obneyai/grain/grain-genome)<a href="https://agentmods.dev/skills/obneyai/grain/grain-genome"><img src="https://agentmods.dev/badge/skills/obneyai/grain/grain-genome.svg" alt="Measured on agentmods" 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 | $0.00064 | $0.00382 |
| Opus 5 | $0.00032 | $0.00191 |
| Sonnet 5 | $0.00013 | $0.00076 |
| Haiku 4.5 | $0.00006 | $0.00038 |
Grade A, and why
grain-genome 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 8d 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
Grain Genome
bb scripts/genome/genome.bb combines deterministic repository facts with the
editorial overlay in scripts/genome/genome-taste.edn, then injects them into the
HTML/Scittle shell. Never hand-edit generated grain-genome.html.
Loop
- Run
bb scripts/genome/genome.bbfrom the repository root. - Resolve every warning in
genome-taste.edn:- Add missing current components with a unique
(col,row), cluster, short role, and description. - Remove entries for deleted or deprecated components.
- Add missing macros to the proper catalog group using the real arglist and a one-line purpose.
- Add missing current components with a unique
- Rebuild until the coverage report is clean.
- Run
node scripts/genome/shoot.js, inspect every screenshot, and adjust the overlay until traces and layers read clearly.
Taste rules
Rows represent dependency layers: apps, entry/coordination, processors, event-log spine, storage, foundation. Columns run write-left, log-center, read-right. Place nodes near dependencies, avoid shared cells, and exploit shared columns for hubs. Prefer service-area clusters when registered; otherwise classify components by their architectural role.
Facts such as dependencies, LOC, protocols, macros, and deprecation belong only
in genome.bb extraction. Placement, clusters, roles, descriptions, and macro
presentation belong only in genome-taste.edn.
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.
- 8d ago First seen · 37 lines · 64 tokens per session scan A 592731dc3d03
grain-genome is a skill published in the GitHub repository ObneyAI/grain (118 stars, last pushed 4d ago), licensed MIT. It adds 64 tokens to every session and 382 once invoked, about $0.0003 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.
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Run the Omnigent server as a Docker compose stack (server + Postgres) on any Docker host — your laptop, a VPS, EC2 by hand, or as the base layer of any container-platform deploy. Invoke when the user wants to build the image, bring up the compose stack, debug the stack on a host they already have, or extend the stack…
haiku
When writing a haiku for this bot, follow these conventions.
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Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".
fastapi-router-py
Create FastAPI routers with CRUD operations, authentication dependencies, and proper response models. Use when building REST API endpoints, creating new routes, implementing CRUD operations, or adding authenticated endpoints in FastAPI applications.
dogfood
Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.