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.
git clone --depth 1 https://github.com/mishahanin/heading-osnpx agentmods add skills/mishahanin/heading-os/councilWrote 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/mishahanin/heading-os/council)<a href="https://agentmods.dev/skills/mishahanin/heading-os/council"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/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/mishahanin/heading-os/council"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/council.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00143 | $0.04370 |
| Opus 5 | $0.00072 | $0.02185 |
| Sonnet 5 | $0.00029 | $0.00874 |
| Haiku 4.5 | $0.00014 | $0.00437 |
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 11d 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 — 338 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Council - Independent Second Opinions (Kimi k3 by default; Gemini + Grok opt-in)
Independent second opinions dispatched in parallel. Use when:
- The user wants fresh views on a hard call (independent mode)
- The user wants a draft stress-tested before it ships (critique mode)
This skill is distinct from /deep-think (Claude reasoning harder, alone) and /odin (Claude + the curated knowledge brain). The unique value is a model with a different training pedigree, different RLHF, and different failure modes reaching the question independently. Agreement is stronger evidence, and disagreement is itself information. --all restores the three-model roster when breadth matters more than latency.
Phase 0 - Determine mode
Read the user's request.
CRITIQUE mode if any of:
- The user passed
--critique - The user said "stress-test this", "critique this draft", "find flaws in", "what's wrong with this", "review this draft"
- The user pasted a draft (proposal, message, claim) and asked for review
INDEPENDENT mode otherwise (default).
Phase 1 - Gather inputs
For INDEPENDENT mode, prepare:
question: the user's question, cleaned and concretecontext: facts the user has shared in this conversation that bear on the question. Important: include the FACTS (numbers, names, dates, constraints), NOT Claude's reasoning or proposed answer. The whole point of independent mode is to give Gemini a clean slate.
For CRITIQUE mode, prepare:
draft: the exact draft text to critique. If the user passed--critique 'text'inline, the draft is the quoted text immediately following the flag. If the user pasted a draft in the message body without the flag, use that body verbatim.context: why the draft was produced (audience, goal, constraints). In critique mode, including Claude's reasoning IS appropriate - Gemini is being asked to stress-test it.
Optional — to give Claude's view a distinct lens from the outside models, pull 2-5 methods from reference/elicitation-methods.md (python scripts/elicit.py list --category collaboration; categories collaboration/research/framing, e.g. Steelmanning, Reframe the Question). Skip when the question is already well-framed.
What ships with it
2 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.
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.
- 11d ago First seen · 338 lines · 143 tokens per session scan A 09641e74a979
council is a skill published in the GitHub repository mishahanin/heading-os (11 stars, last pushed 2d ago), licensed Apache-2.0. It adds 143 tokens to every session and 4,370 once invoked, about $0.0007 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 2026-08-30.
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