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 dair-ai/dair-academy-plugins --skill llm-councilgit clone --depth 1 https://github.com/dair-ai/dair-academy-pluginsWrote 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/dair-ai/dair-academy-plugins/llm-council)<a href="https://agentmods.dev/skills/dair-ai/dair-academy-plugins/llm-council"><img src="https://agentmods.dev/badge/skills/dair-ai/dair-academy-plugins/llm-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/dair-ai/dair-academy-plugins/llm-council"><img src="https://agentmods.dev/badge/skills/dair-ai/dair-academy-plugins/llm-council.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 8 findings, 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 Rogue Agent · line 33 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Data Exfiltration · line 130 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 234 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 366 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Rogue Agent · line 135 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Data Exfiltration · line 149 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 284 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 423 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00081 | $0.05103 |
| Opus 5 | $0.00041 | $0.02551 |
| Sonnet 5 | $0.00016 | $0.01021 |
| Haiku 4.5 | $0.00008 | $0.00510 |
Grade A, and why
llm-council scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.post( How it starts
The opening of the file, as written. The whole thing — 572 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LLM Council (Fireworks AI)
This skill implements Karpathy's LLM Council concept where multiple open-weight LLMs deliberate on a query, powered entirely by Fireworks AI:
- Phase 1: All models respond to the query independently (parallel)
- Phase 2: Models rank each other's anonymized responses
- Phase 3: A Chairman LLM synthesizes the final answer
All inference runs through Fireworks AI using open-weight models. The speed and pricing of Fireworks makes it practical to run multi-model deliberation that would be slow or expensive on other providers.
CRITICAL RULES
- ALWAYS use AskUserQuestion to let the user select council models (multiselect) and the Chairman model
- ALWAYS save raw responses to files - never summarize or truncate API outputs
- ALWAYS show full transparency - display all individual responses, all rankings, AND the final synthesis
- NEVER skip the ranking phase - it is essential to the council deliberation process
- Read from files for display - ensures content is shown unmodified
- ALWAYS display the final output to the user after Phase 3 completes
Pre-flight Check
Before running any phase, verify the Fireworks API key is set:
if [ -z "$FIREWORKS_API_KEY" ]; then
echo "ERROR: FIREWORKS_API_KEY is not set."
echo "Create a Fireworks AI account at: https://fireworks.ai/"
echo "Then export it in your shell profile (~/.zshrc or ~/.bashrc):"
echo ' export FIREWORKS_API_KEY="your_api_key_here"'
exit 1
fi
echo "FIREWORKS_API_KEY is set."
Available Models
Present these options to the user via AskUserQuestion (multiselect):
| Model | Fireworks ID | Provider |
|---|---|---|
| GLM 5 | accounts/fireworks/models/glm-5 | Z.ai |
| DeepSeek V3.1 | accounts/fireworks/models/deepseek-v3p1 | DeepSeek |
| DeepSeek V3.2 | accounts/fireworks/models/deepseek-v3p2 | DeepSeek |
| MiniMax M2.1 | accounts/fireworks/models/minimax-m2p1 | MiniMax |
| Kimi K2.5 | accounts/fireworks/models/kimi-k2p5 | Moonshot |
| Qwen3 235B | accounts/fireworks/models/qwen3-235b-a22b | Alibaba |
| Llama 4 Maverick | accounts/fireworks/models/llama4-maverick-instruct-basic | Meta |
What ships with it
1 file 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 · 572 lines · 81 tokens per session scan A 19d875144c2c
llm-council is a skill published in the GitHub repository dair-ai/dair-academy-plugins (613 stars, last pushed 1mo ago), licensed MIT. It adds 81 tokens to every session and 5,103 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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