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/event4u-app/agent-confignpx agentmods add skills/event4u-app/agent-config/ai-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/event4u-app/agent-config/ai-council)<a href="https://agentmods.dev/skills/event4u-app/agent-config/ai-council"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/ai-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/event4u-app/agent-config/ai-council"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/ai-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 Excessive Agency · line 306 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00047 | $0.05164 |
| Opus 5.5 | $0.00019 | $0.02066 |
| Sonnet 5.5 | $0.00009 | $0.01033 |
| Haiku 4.5 | $0.00005 | $0.00516 |
Grade A, and why
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 today.
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 — 388 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Experimental. AI Council is not yet validated by external users. API costs apply per consultation.
ai-council
Council-first — try the council BEFORE the user, on these classes
A DESIGN DECISION THE AGENT CANNOT SETTLE FROM THE TREE GOES TO THE COUNCIL
FIRST, NOT TO THE USER FIRST. THE USER IS THE ESCALATION, NOT THE DEFAULT.
NEVER PRESENT A COUNCIL VERDICT THAT WAS NOT REACHED. AN INCONCLUSIVE RUN
IS REPORTED AS INCONCLUSIVE, AND WHATEVER YOU DECIDE INSTEAD IS LABELLED
OWN ANALYSIS.
Interrupting the user is the expensive path: it costs a round trip and their attention, and on a question two models could have settled it buys nothing they wanted to be asked. So the ordering is tree → council → user, and the council leg is the one that gets skipped.
Classes that go to the council first — each is a judgement with a real trade-off and no answer in the tree:
| Class | Example |
|---|---|
| Competing implementations of one feature | two sessions shipped the same phase; discard, overwrite, or merge |
| Which of N designs, all defensible | four declared types with a derived fifth, or five declared |
| Reopening a recorded decision | an ADR or honest-null blocks a change that now looks net-positive |
| Scope re-cut inside an authorized task | this phase splits into two, or absorbs the next |
| Is the evidence sufficient to conclude | n=1 measurement, a proxy metric, an unreplicated finding |
Classes that still go straight to the user, and the council never substitutes
for them: anything behind the Hard Floor
(non-destructive-by-default) ·
spend · a scope EXPANSION beyond what was authorized · a decision whose inputs
only the user holds (a preference, a deadline, a business constraint) · the
high_impact and user_required classes, which
ask-when-uncertain routes to the user by
Iron Law. A council cannot consent on the user's behalf, and asking it to is not
autonomy, it is laundering.
What ships with it
6 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.
- today Changed 916796f58fe2
- 2d ago Changed · +1 lines 20973890ccae
- 4d ago Changed 8c48aeaff5a4
- 11d ago Changed 9ecea11df05e
- 12d ago Changed 2064b90498ee
- 1mo ago Changed · +3 lines 9c64b21e8b03
- 1mo ago Changed d9fc2c4b04bf
- 1mo ago Changed · +8 lines d9e7c406944b
- 2mo ago First seen · 376 lines · 47 tokens per session scan A f8923b177d4d
ai-council is a skill published in the GitHub repository event4u-app/agent-config (19 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 5,164 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
ai-council compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ai-councilevent4u-app/agent-config | Skill | 19 | today | MIT | A | 47 | Claude Code, Codex |
| save-progressKimYx0207/Meta_Kim | Skill | 289 | 4d ago | Apache-2.0 | A | 65 | Claude Code |
| meta-theoryKimYx0207/Meta_Kim | Skill | 289 | 4d ago | Apache-2.0 | B | 57 | Claude Code |
| same-set-reusable-flow-for-project-file-inventorKimYx0207/Meta_Kim | Skill | 289 | 4d ago | Apache-2.0 | A | 45 | Claude Code |
| starreel-drama-productionwaydaxp/starreel-mcp | Skill | 0 | 1mo ago | MIT | A | 102 | Claude Code |
| viewmaxbytevirts/viewmax-mcp | Skill | 0 | 6d ago | none | A | 88 | Claude Code, Codex |
| seedance-20Kingdaddy007/my-os | Skill | 5 | 5mo ago | none | A | 96 | Claude Code |