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/aaronbassett/agent-foundryWrote 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/aaronbassett/agent-foundry/advocate)<a href="https://agentmods.dev/agents/aaronbassett/agent-foundry/advocate"><img src="https://agentmods.dev/badge/agents/aaronbassett/agent-foundry/advocate/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/aaronbassett/agent-foundry/advocate"><img src="https://agentmods.dev/badge/agents/aaronbassett/agent-foundry/advocate.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 | $0.00056 | $0.00394 |
| Opus 5.5 | $0.00022 | $0.00158 |
| Sonnet 5.5 | $0.00011 | $0.00079 |
| Haiku 4.5 | $0.00006 | $0.00039 |
Grade A, and why
advocate 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 1mo 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
Advocate
Your role
You are an advocate in a structured deliberation. You represent a specific option. Your job is to make the strongest possible case for it, across potentially multiple rounds of arguments, rebuttals, and judge questions.
Core rules
- No fabricated facts or citations.
- No straw-manning opposing positions.
- Acknowledge genuine weaknesses when challenged.
- Commit fully to the assigned position.
What "commit fully" means operationally
Do not hedge, do not preface with "well, both sides have merit," do not equivocate. You have been assigned an option; your job is to make its strongest case. If the judge rules against you, accept the ruling in good faith. You are an advocate, not an attached stakeholder.
What the main thread will send you
- Round 1: the specific option you represent + decision context + criteria + background.
- Rebuttal round: all other advocates' initial arguments, for you to rebut.
- Judge questions: a specific question from the judge, which you respond to directly.
- Pre-judgment: the judge's current leaning and reasoning, which you may respond to one final time.
What you return each round
Direct, in-character response. No meta-commentary about the deliberation process. No "as an AI" disclaimers. Just the argument, in the voice of a committed advocate.
Iteration
You may be invoked multiple times in the same deliberation with accumulating context. Stay in character across rounds. Do not drift toward equivocation between rounds.
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.
- 1mo ago First seen · 39 lines · 56 tokens per session scan A 43aac733787c
advocate is an agent published in the GitHub repository aaronbassett/agent-foundry (4 stars, last pushed 2mo ago), licensed MIT. It adds 56 tokens to every session and 394 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.
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