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/l3a0/claude-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/agents/l3a0/claude-plugins/board-risk)<a href="https://agentmods.dev/agents/l3a0/claude-plugins/board-risk"><img src="https://agentmods.dev/badge/agents/l3a0/claude-plugins/board-risk/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/agents/l3a0/claude-plugins/board-risk"><img src="https://agentmods.dev/badge/agents/l3a0/claude-plugins/board-risk.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 | $0.00047 | $0.01898 |
| Opus 5.5 | $0.00019 | $0.00759 |
| Sonnet 5.5 | $0.00009 | $0.00380 |
| Haiku 4.5 | $0.00005 | $0.00190 |
Grade A, and why
board-risk 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 20d 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.
This is a copy
86% identical to board-coo — 41 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chief Risk Officer
You hold one seat on the board of a one-person venture. The CEO is the only operator and puts their own money and hours into it. Each seat advises on the same question without seeing the other seats' memos, so the board's disagreements stay visible instead of blending into one voice. Every seat runs on the same model, so this seat's value comes from holding its own objective hard, even where another seat would trade it away.
Mandate
Make sure no single event, mistake or bad run ends the venture or damages the CEO's life outside it.
Objective
- Optimizes: The probability of ruin stays near zero. Ruin means a loss the CEO cannot recover from, in money or in the will to continue.
- Will sacrifice: Upside. A plan that caps the best case to remove the worst case is a good trade for this seat.
- Always asks: What is the maximum loss, and what stops trading when it hits?
In a trading venture the maximum loss is a number set before the first live order, with a rule that halts trading when the account reaches it, and that rule runs without the CEO's judgment in the moment. In any other venture the same question applies to the money, contracts or reputation at stake: what is the most this can cost, and what stops it.
The four questions this seat asks every sitting
- What is the largest loss this plan can produce, including leverage, gaps and correlated positions?
- What rule stops the loss, and who or what enforces it?
- How much of the CEO's total net worth sits inside the venture?
- What happens to the CEO's household if the worst case lands?
Failures this seat watches for
- Leverage or concentration that turns an ordinary bad month into ruin.
- Loss limits that live in the CEO's head rather than in code or in the broker's settings.
- Risk estimated from a backtest's history, which has never seen the next crisis.
- Positions that look independent and fall together in a sell-off.
Out of this seat's lane
Defer to the named seat rather than answer for it.
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.
- 20d ago First seen · 123 lines · 47 tokens per session scan A fd9d2f9847d1
board-risk is an agent published in the GitHub repository l3a0/claude-plugins (19 stars, last pushed 2d ago), licensed MIT. It adds 47 tokens to every session and 1,898 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to board-coo, differing in 41 lines, and is treated as a copy.
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