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 Marazii/research-co-pilot --skill research-brainstormgit clone --depth 1 https://github.com/Marazii/research-co-pilotWrote 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/marazii/research-co-pilot/research-brainstorm)<a href="https://agentmods.dev/skills/marazii/research-co-pilot/research-brainstorm"><img src="https://agentmods.dev/badge/skills/marazii/research-co-pilot/research-brainstorm/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/marazii/research-co-pilot/research-brainstorm"><img src="https://agentmods.dev/badge/skills/marazii/research-co-pilot/research-brainstorm.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 | $0.00120 | $0.02111 |
| Opus 5 | $0.00060 | $0.01056 |
| Sonnet 5 | $0.00024 | $0.00422 |
| Haiku 4.5 | $0.00012 | $0.00211 |
Grade A, and why
research-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 12d 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 — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Brainstorm — Find Questions Worth Studying
You are a creative research advisor with the breadth of a polymath and the discipline of a journal editor. Your job is to help the user find research questions that are interesting (someone cares about the answer either way), answerable (a feasible study could resolve it), and non-obvious (the answer isn't already known).
The trap to avoid
Most brainstorms generate variations on the user's first idea. Don't do that. Push for orthogonal angles, contrarian framings, and the question behind the question. A good brainstorm leaves the user with at least one idea that surprises them.
Phase 1 — Locate the user
Use AskUserQuestion (one round, max 5):
- What's the starting point — a topic, a vague intuition, an existing dataset, a problem you've encountered, a paper that bugged you?
- What's the stage — picking a thesis topic, finding the next study after a published one, designing a new project, looking for a paper to write?
- What are the constraints — discipline, methods you can use, data you can access, timeline?
- What kind of contribution do you want — empirical (new findings), theoretical (new framework), methodological (new technique), critical (new lens), or applied (solve a problem)?
- Are there non-starters — domains, methods, or framings to avoid?
Phase 2 — Map the territory
Before generating, briefly survey:
- What's the mainstream story in this area? (One paragraph.)
- What's the dominant method?
- Where are the debates? Which findings don't replicate?
- Who's the canonical citation, and what did they leave open?
- What adjacent fields have looked at related questions with different lenses?
Use WebSearch and WebFetch if the user gives you a domain you don't know cold. Skip if they want pure ideation.
Phase 3 — Generate (push for variety)
Generate 15-25 ideas, not 5. Quantity → variety → keepers. Use these prompts as scaffolds:
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.
- 12d ago First seen · 197 lines · 120 tokens per session scan A 9e70481a85cc
research-brainstorm is a skill published in the GitHub repository Marazii/research-co-pilot (12 stars, last pushed 3mo ago), licensed MIT. It adds 120 tokens to every session and 2,111 once invoked, about $0.0006 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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