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deep-ai-council

deep-ai-council is a skill for Claude Code, OpenCode from MichelKerkmeester/skilled-agent-harness_spec-driven-loops. It costs 27 tokens per session (6,080 once invoked), scanned A, original, MIT.

A planning workflow where several AI viewpoints examine a problem, save their discussion results, and check whether they have reached agreement.

In plain words
What is it for?
Use it for implementation planning and other decisions that benefit from multiple AI perspectives and recorded deliberation.
Why use it?
It helps expose different interpretations and keeps planning decisions available for later use.

Skill for Claude CodeOpenCode

Written for Claude Code and OpenCode: allowed-tools in frontmatter, but also installed under .opencode/. Also seen: reads .claude/ paths; mentions subagents; mentions Claude Code.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is node .opencode/skills/system-deep-loop/deep-ai-council/scripts/persist-artifacts.cjs <packet> --input-file <report>.

not rated 35repo +1 changed yesterday A scan SkillSpector: pass 27 tokens original MIT

Good fit Use it for implementation planning and other decisions that benefit from multiple AI perspectives and recorded deliberation.

Compare 6 skills from other repositories ↓
View source ↗ MichelKerkmeester/skilled-agent-harness_spec-driven-loops
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/MichelKerkmeester/skilled-agent-harness_spec-driven-loops
agentmods
npx agentmods add skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/deep-ai-council

Made for: Claude Code, OpenCode.

Wrote 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.

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README.md
[![agentmods](https://agentmods.dev/badge/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/deep-ai-council/github.svg)](https://agentmods.dev/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/deep-ai-council)
Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/deep-ai-council"><img src="https://agentmods.dev/badge/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/deep-ai-council.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,080 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.06080
Opus 5 $0.00014 $0.03040
Sonnet 5 $0.00005 $0.01216
Haiku 4.5 $0.00003 $0.00608

Measured yesterday against content hash c00081dbea60, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

deep-ai-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 yesterday.

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.

.opencode/skills/system-deep-loop/deep-ai-council/SKILL.md · 492 lines

How it starts

The opening of the file, as written. The whole thing — 492 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Council

Planning-only council deliberation with diverse seats, convergence checks, and packet-local ai-council/** artifact persistence.

Convergence threshold semantics: see references/convergence/convergence-signals.md. Deep Mode (iterative multi-topic): see references/convergence/depth-dispatch.md.

1. OPERATIONAL MODES — IN-CLI (PRIMARY) + EXTERNAL-CLI (SECONDARY)

The council is primarily an IN-CLI capability. When invoked from inside an active runtime (OpenCode, Claude Code, OpenCode), the council deliberates using THAT runtime's own models and reasoning lenses as seats. No external dispatch is required for the common case — the active CLI's own model bench (e.g. Opus + Sonnet + Haiku on Claude Code; gpt-5.5 + gpt-5.5-pro + gpt-5.5-xhigh on OpenCode; direct DeepSeek, Xiaomi, and OpenAI provider models on OpenCode) supplies the seat diversity for a round.

External-CLI dispatch is a SECONDARY, optional mode for cases where a different AI vantage adds value (e.g. DeepSeek/Kimi via cli-opencode from inside another runtime). The council resolver accepts native, cli-opencode, cli-cursor, cli-devin, cli-pi, and the opencode alias; it rejects cli-codex and cli-claude-code. External dispatch is invoked via the supported cli-* skill family, never directly from this skill.

Both modes obey the one-CLI-per-round invariant (§5 ALWAYS rule 6):

  • In-CLI round: all seats use the current runtime's models.
  • External-CLI round: all seats use ONE supported external CLI (e.g. all cli-opencode seats with different reasoning levels, or all cli-cursor, cli-devin, or cli-pi seats with different models).
  • Cross-CLI deliberation is staged as MULTIPLE rounds (one in-CLI + one external, or two different externals) — never folded into the same round.

Read the full file on GitHub · 492 lines

Files

What ships with it

60 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.

Changes

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.

  1. yesterday Changed c00081dbea60
  2. 6d ago Changed ffc358364228
  3. 8d ago First seen · 492 lines · 27 tokens per session scan A d57a5c5d592a

Subscribe to this mod's changes

deep-ai-council is a skill published in the GitHub repository MichelKerkmeester/skilled-agent-harness_spec-driven-loops (35 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 6,080 once invoked, about $0.0001 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.

Building agentsPlanning
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