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/primeintellect-ai/verifiers/brainstormnpx skills add PrimeIntellect-ai/verifiers --skill brainstormgit clone --depth 1 https://github.com/PrimeIntellect-ai/verifiersWrote 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/primeintellect-ai/verifiers/brainstorm)<a href="https://agentmods.dev/skills/primeintellect-ai/verifiers/brainstorm"><img src="https://agentmods.dev/badge/skills/primeintellect-ai/verifiers/brainstorm.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 | $0.00056 | $0.00306 |
| Opus 5 | $0.00028 | $0.00153 |
| Sonnet 5 | $0.00011 | $0.00061 |
| Haiku 4.5 | $0.00006 | $0.00031 |
Grade A, and why
brainstorm 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 4d 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
Brainstorm
Goal
Run an interactive idea session with the user to turn their idea into a concrete taskset outline.
Interaction style
- Find out what the goal of the user is, what their budget is, and ultimately what they want to achieve.
- Ask a lot of clarifying questions and outline the concrete steps before you start implementing.
- When something is ambiguous, do research first and present the user with different options to choose from.
- Don't overload the user with terminology, but guide them in the right direction. Assume a knowledgeable user, but not an in-depth expert at every topic.
Discovery workflow
- Find out what the user wants:
- Is it running existing evaluations or training with common tasksets? If so, use the Environment Hub to see whether those tasksets already exist.
- Is it optimizing an existing workflow? In this case, prompt optimization with GEPA is the right tool.
- Else: For training and evaluations, building a taskset together is the right call.
- After you have found this out, look at the other skills and choose the appropriate one to proceed on the technical level, while still keeping the interactive session with the user alive.
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.
- 4d ago First seen · 28 lines · 56 tokens per session scan A 483afea03352
brainstorm is a skill published in the GitHub repository PrimeIntellect-ai/verifiers (4,587 stars, last pushed today), licensed MIT. It adds 56 tokens to every session and 306 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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