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 RudyCity/superagent --skill hundred-minds-collectivegit clone --depth 1 https://github.com/RudyCity/superagentWrote 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/rudycity/superagent/hundred-minds-collective)<a href="https://agentmods.dev/skills/rudycity/superagent/hundred-minds-collective"><img src="https://agentmods.dev/badge/skills/rudycity/superagent/hundred-minds-collective/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/rudycity/superagent/hundred-minds-collective"><img src="https://agentmods.dev/badge/skills/rudycity/superagent/hundred-minds-collective.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00065 | $0.01401 |
| Opus 5 | $0.00032 | $0.00700 |
| Sonnet 5 | $0.00013 | $0.00280 |
| Haiku 4.5 | $0.00006 | $0.00140 |
Grade A, and why
hundred-minds-collective 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 9d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hundred-Minds Collective (100-Expert Hivemind in 1 Agent)
Enables a single AI agent to think, analyze, and solve complex system-wide problems with the cognitive throughput, perspective diversity, and peer-review density equivalent to 100 domain experts organized into specialized functional committees, without spawning cost-prohibitive subagents or wasting tokens.
When to Use This Skill
- Trigger keywords: "100 minds", "think like 100 people", "collective team", "multi-team reasoning", "collective intelligence", "100 experts", "hivemind reasoning".
- When facing complex, ambiguous, or high-risk architectural and technical challenges.
- When requiring 360-degree evaluation across security, performance, UX, maintainability, and edge cases.
- When eliminating blind spots and AI hallucinations through rigorous internal Red Teaming.
100-Mind Team Specialization Matrix
The 100 virtual minds are structured into 6 distinct functional committees:
| Team | Committee Name | Headcount | Primary Role & Domain Focus |
|---|---|---|---|
| Team 1 | Strategic Vision & Architecture | 15 Experts | Macro architecture design, long-term scalability, design patterns, and system cohesion. |
| Team 2 | Domain & Subject Matter Experts | 30 Experts | Code specialization, business logic, algorithms, databases, API contracts, and deep technical optimizations. |
| Team 3 | Red Team & Adversarial Skeptics | 20 Experts | Devil's advocates, security auditors, edge-case hunters, unhandled exception stress-testers, and assumption busters. |
| Team 4 | Empirical & Runtime Data Validators | 15 Experts | Reality grounders, log analysis, type checks, runtime benchmarking, and empirical evidence verifiers. |
| Team 5 | Synthesis & Consensus Council | 10 Experts | Master integrators, trade-off negotiators, conflict resolution, and final consensus builders. |
| Team 6 | Lean Execution & Pragmatism Ops | 10 Experts | Complexity reduction, pragmatic-minimalism guardians, and actionable execution planning. |
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.
- 9d ago First seen · 108 lines · 65 tokens per session scan A 455de8c44221
hundred-minds-collective is a skill published in the GitHub repository RudyCity/superagent (21 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 1,401 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 2026-09-03.
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