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 agentlas-ai/agentlas-desktop --skill scientific-brainstorminggit clone --depth 1 https://github.com/agentlas-ai/agentlas-desktopWrote 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/agentlas-ai/agentlas-desktop/scientific-brainstorming)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/scientific-brainstorming"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/scientific-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/agentlas-ai/agentlas-desktop/scientific-brainstorming"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/scientific-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 | $0.00070 | $0.02819 |
| Opus 5.5 | $0.00028 | $0.01128 |
| Sonnet 5.5 | $0.00014 | $0.00564 |
| Haiku 4.5 | $0.00007 | $0.00282 |
Grade A, and why
scientific-brainstorming 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 1mo 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.
This is a copy
100% identical to scientific-brainstorming — 17 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scientific Brainstorming
Purpose and boundaries
Use this skill to create, organize, challenge, and transparently prioritize
candidate research directions. Treat every output as a proposal, not a
finding. Creativity methods can alter participation and idea yield, but no
method universally improves originality, usefulness, or scientific validity.
The evidence base and its limits are summarized in
references/sources.md.
Keep these activities separate:
- Ideation creates questions, mechanisms, alternatives, or study concepts.
- Evidence assessment checks what reliable literature and data support.
- Hypothesis validation requires observations, predictions, suitable designs, analyses, and independent scrutiny; brainstorming cannot validate a hypothesis.
- Ethics, biosafety, dual-use, regulatory, and institutional review require the relevant authorized reviewers. A brainstorm is never approval.
- Clinical advice requires qualified clinicians and patient-specific context. Do not turn research ideas into diagnosis or treatment guidance.
For an observation-led testable hypothesis, hand off to
hypothesis-generation. For study architecture, use experimental-design;
for sample size, statistical-power; for existing evidence,
literature-review; and for analysis, statistical-analysis.
Operating rules
- Label claims as idea, assumption, prediction, located evidence, or decision. Never blur these categories.
- Generate independently before exposing participants to other people's or AI-generated ideas. Face-to-face turn-taking can block production, and examples can anchor later output.
- Preserve minority views, negative evidence, uncertainty, and abstentions. Consensus is not truth and vote counts are not effect sizes.
- Record provenance without exposing confidential, personal, controlled, or unpublished information.
- Define evaluation criteria and directions before scoring. Keep raw ratings, reasons, ranges, and disagreement visible.
- Search the literature after an initial independent round when practical, then deliberately reopen ideation. This reduces early anchoring without mistaking an incomplete search for a research gap.
- Do not automatically select a “winner.” Scores are traceable decision aids; qualitative judgment, uncertainty, feasibility, and ethics gates remain controlling.
What ships with it
9 files 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.
- references/brainstorming_methods.md 12 KB
- references/facilitation_workflows.md 9.8 KB
- references/idea_evaluation.md 9.8 KB
- references/responsible_ai.md 9.5 KB
- references/sources.md 16 KB
- scripts/_common.py 9.3 KB runs code
- scripts/evaluate_matrix.py 18 KB runs code
- scripts/session_scaffold.py 7.7 KB runs code
- scripts/validate_register.py 21 KB runs code
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.
- 1mo ago First seen · 300 lines · 70 tokens per session scan A 49ae9b430f34
scientific-brainstorming is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 70 tokens to every session and 2,819 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to scientific-brainstorming, differing in 17 lines, and is treated as a copy.
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