Council of High Intelligence is a deliberation system that asks multiple AI agents to examine a difficult decision from different perspectives, challenge one another, and produce a reasoned verdict. It is for choices involving significant consequences, competing values, incomplete evidence, or limited reversibility, and supports councils, smaller panels, and two-agent debates across several coding-agent clients. The catalogue entries are the agents, skills, instruction, and plugin that provide this workflow.
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 0xNyk/council-of-high-intelligence --skill councilgit clone --depth 1 https://github.com/0xNyk/council-of-high-intelligenceWrote 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/0xnyk/council-of-high-intelligence/council)<a href="https://agentmods.dev/skills/0xnyk/council-of-high-intelligence/council"><img src="https://agentmods.dev/badge/skills/0xnyk/council-of-high-intelligence/council/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/0xnyk/council-of-high-intelligence/council"><img src="https://agentmods.dev/badge/skills/0xnyk/council-of-high-intelligence/council.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 | $0.00004 |
| Opus 5 | $0.00000 | $0.00002 |
| Sonnet 5 | $0.00000 | $0.00001 |
| Haiku 4.5 | $0.00000 | $0.00000 |
Grade A, and why
council 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 13d 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 browser_harness — 0 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.
What it actually says
../../SKILL.md
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.
- 13d ago First seen · 1 lines · 0 tokens per session scan A 51e5cba874c5
council is a skill published in the GitHub repository 0xNyk/council-of-high-intelligence (4,228 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4 tokens. A static security scan graded it A with 0 findings. It is 100% identical to browser_harness, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
war-room
Convenes a multi-LLM expert panel to pressure-test hard-to-reverse decisions. Use when reversibility score is low and adversarial review is warranted.
ask-ai-to-show-its-reasoning
Request a concise explanation of assumptions, evidence, decision criteria, and trade-offs behind a recommendation.
ask-one-best-answer
Request one recommended option with its rationale when a long list would obscure the decision.
dont-summarize-without-a-goal
Define the decision or information need before asking for a document summary.
draft-meeting-agendas
Create a time-boxed meeting agenda with discussion owners, pre-reads, and explicit decisions to reach.
fill-in-missing-assumptions
Identify hidden assumptions and test how changing them affects a recommendation or design.