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 frank-luongt/faos-skills-marketplace --skill multi-agent-brainstorminggit clone --depth 1 https://github.com/frank-luongt/faos-skills-marketplaceWrote 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/frank-luongt/faos-skills-marketplace/multi-agent-brainstorming)<a href="https://agentmods.dev/skills/frank-luongt/faos-skills-marketplace/multi-agent-brainstorming"><img src="https://agentmods.dev/badge/skills/frank-luongt/faos-skills-marketplace/multi-agent-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/frank-luongt/faos-skills-marketplace/multi-agent-brainstorming"><img src="https://agentmods.dev/badge/skills/frank-luongt/faos-skills-marketplace/multi-agent-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 | $0.00000 | $0.01195 |
| Opus 5.5 | $0.00000 | $0.00478 |
| Sonnet 5.5 | $0.00000 | $0.00239 |
| Haiku 4.5 | $0.00000 | $0.00120 |
Grade A, and why
multi-agent-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.
How it starts
The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: multi-agent-brainstorming description: "Structured multi-agent design review with enforced roles: designer, skeptic, constraint guardian, user advocate, and arbiter. Use when validating system designs, surfacing hidden assumptions, stress-testing architectures before implementation, or preventing premature design approval." tags: [multi-agent, brainstorming, design-review]
Multi-Agent Brainstorming (Structured Design Review)
Purpose
Transform a single-agent design into a robust, review-validated design by simulating a formal peer-review process using multiple constrained agents.
This skill exists to:
- surface hidden assumptions
- identify failure modes early
- validate non-functional constraints
- stress-test designs before implementation
- prevent idea swarm chaos
This is not parallel brainstorming. It is sequential design review with enforced roles.
Operating Model
- One agent designs.
- Other agents review.
- No agent may exceed its mandate.
- Creativity is centralized; critique is distributed.
- Decisions are explicit and logged.
The process is gated and terminates by design.
Agent Roles (Non-Negotiable)
Each agent operates under a hard scope limit.
1. Primary Designer (Lead Agent)
Role:
- Owns the design
- Runs the standard
brainstormingskill - Maintains the Decision Log
May:
- Ask clarification questions
- Propose designs and alternatives
- Revise designs based on feedback
May NOT:
- Self-approve the final design
- Ignore reviewer objections
- Invent requirements post-lock
2. Skeptic / Challenger Agent
Role:
- Assume the design will fail
- Identify weaknesses and risks
May:
- Question assumptions
- Identify edge cases
- Highlight ambiguity or overconfidence
- Flag YAGNI violations
May NOT:
- Propose new features
- Redesign the system
- Offer alternative architectures
Prompting guidance:
"Assume this design fails in production. Why?"
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 · 257 lines · 0 tokens per session scan A af923011ce76
multi-agent-brainstorming is a skill published in the GitHub repository frank-luongt/faos-skills-marketplace (37 stars, last pushed 3mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,195 tokens. 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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