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.
git clone --depth 1 https://github.com/keepwhatworks/trinityWrote 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/commands/keepwhatworks/trinity/council)<a href="https://agentmods.dev/commands/keepwhatworks/trinity/council"><img src="https://agentmods.dev/badge/commands/keepwhatworks/trinity/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/commands/keepwhatworks/trinity/council"><img src="https://agentmods.dev/badge/commands/keepwhatworks/trinity/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 | $0.00018 | $0.00146 |
| Opus 5.5 | $0.00007 | $0.00058 |
| Sonnet 5.5 | $0.00004 | $0.00029 |
| Haiku 4.5 | $0.00002 | $0.00015 |
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 17d 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.
What it actually says
Call the mcp__trinity-local__run_council tool on this:
$ARGUMENTS
Send the goal, the plan, the evidence you have, and one alternative. Then report
the council's decision, what would change it (flip_condition), what all three
agreed on, and each split: who was on which side, which side survived, and the
check that would settle it later. If the argument is empty, ask what decision
to put to the council first.
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.
- 17d ago Changed · -4 tokens per session 716746b95cf5
- 1mo ago First seen · 15 lines · 22 tokens per session scan A acf5b7c675ac
council is a command published in the GitHub repository keepwhatworks/trinity (1 stars, last pushed 5d ago), licensed MIT. It adds 18 tokens to every session and 146 once invoked, about $0.0001 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.
Other commands, from other repositories
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prompt-sync
A command that synchronizes a prompt-generation system with a local folder, a personal vault, and a deployment repository. It keeps the same source structure across those locations.
prompt-update
A command for updating and combining prompt-engineering guidance, meaning methods for writing clearer instructions for AI.
auto-prompt
A command for automatically generating AI prompts in a format compatible with K-AI Station. The available description does not specify which prompt tasks or models it supports.
agy
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spec-research
A requirements-research command that turns a request into a set of constraints and checkable success criteria. It explores the relevant parts of a project in parallel and creates a structured proposal.