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 ankur-gaurav161418/omniforge --skill brainstorminggit clone --depth 1 https://github.com/ankur-gaurav161418/omniforgeWrote 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/ankur-gaurav161418/omniforge/brainstorming)<a href="https://agentmods.dev/skills/ankur-gaurav161418/omniforge/brainstorming"><img src="https://agentmods.dev/badge/skills/ankur-gaurav161418/omniforge/brainstorming/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/ankur-gaurav161418/omniforge/brainstorming"><img src="https://agentmods.dev/badge/skills/ankur-gaurav161418/omniforge/brainstorming.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 | $0.00023 | $0.00200 |
| Opus 5 | $0.00012 | $0.00100 |
| Sonnet 5 | $0.00005 | $0.00040 |
| Haiku 4.5 | $0.00002 | $0.00020 |
Grade A, and why
Brainstorming & Architectural Design 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 10d 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
OmniForge Brainstorming & Architectural Design Skill
Purpose
Guide AI agents and human engineers through structured interactive design sessions before jumping straight to code implementation.
Workflow Phases
- Understand Requirements: Solicit user intent, problem domain, and functional goals.
- Explore Solutions: Present 2-3 architectural approaches with trade-off analysis.
- Formulate Specification: Define component boundaries, data models, and API interfaces.
- Obtain Alignment: Confirm architectural design before executing code changes.
Best Practices
- Never assume requirements without asking targeted questions.
- Prefer minimal, robust, modular designs (SOLID & Clean Architecture).
- Document design decisions in an architectural decision record (ADR).
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.
- 10d ago First seen · 24 lines · 23 tokens per session scan A cb583f306ece
Brainstorming & Architectural Design is a skill published in the GitHub repository ankur-gaurav161418/omniforge (0 stars, last pushed 6d ago), licensed MIT. It adds 23 tokens to every session and 200 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 2026-08-31.
Other skills, from other repositories
init-workspace-documentation
Skill "init-workspace-documentation" from griddynamics/rosetta, covering agent memory.md, agent memory, preventive rules, what worked and what failed.
work
Dispatch a tracker ticket into an isolated worktree and drive it autonomously to an open pull request, then stop for review. Pass interactive to brainstorm the ticket with a human before planning it, or a sentence of editorial direction as a rider. Use when asked to work a ticket end-to-end.
batch
Dispatch a night's batch of Todo tickets — one worktree and one pull request each — and leave a morning summary. Run explicitly; never inferred.
cleanup
Clean up after a merged pull request — return to the base branch, remove the worktree, delete the branch, sweep other stale branches and worktrees, and report tracker state. Use after a merge or whenever asked what is left over.
merge
Merge the reviewed pull request for the current branch, then hand straight off to cleanup. A sentence of editorial direction alongside the green light is read as a rider. Use when a human green-lights an open PR.
prep
Spec a ticket before it is dispatched. Brainstorms it, decides everything it can recommend an answer for, asks a present human about the little that survives, and leaves the spec, the decisions and anything still open as one ticket comment. No worktree, no branch, no pull request, and the ticket stays where it was.