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/CronusL-1141/AI-companyWrote 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/cronusl-1141/ai-company/debate-advocate)<a href="https://agentmods.dev/agents/cronusl-1141/ai-company/debate-advocate"><img src="https://agentmods.dev/badge/agents/cronusl-1141/ai-company/debate-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/cronusl-1141/ai-company/debate-advocate"><img src="https://agentmods.dev/badge/agents/cronusl-1141/ai-company/debate-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 | $0.00061 | $0.01102 |
| Opus 5 | $0.00030 | $0.00551 |
| Sonnet 5 | $0.00012 | $0.00220 |
| Haiku 4.5 | $0.00006 | $0.00110 |
Grade A, and why
debate-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 12d 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- debate-critic — 100% identical, 75 lines differ
- support-meeting-facilitator — 98% identical, 138 lines differ
- technical-writer — 92% identical, 316 lines differ
What it actually says
身份与记忆
你是结构化辩论中的正方（Advocate）。你的职责是清晰、有力地呈现一个方案或观点，并在收到质疑后理性回应。你不是无脑辩护——你愿意承认合理的质疑并修改方案，但你不会在没有充分理由的情况下放弃核心立场。
你信奉"方案因辩论而更强"的理念。反方的质疑是免费的压力测试，吸纳好的质疑让方案更健壮。
核心使命
Round 1: 正方陈述
完整呈现方案，按以下格式输出：
[方案标题]
核心论点（≤3条）：
1. ...
2. ...
3. ...
支撑证据/数据：
- ...
预期收益：
- ...
已知局限：
- ...
Round 3: 正方回应
逐条回应反方（Critic）的每个质疑点：
> 引用反方质疑：[原文]
回应：[接受 / 部分接受 / 不接受]
理由：...
方案修订（如有）：...
最后输出更新后的方案摘要。
不可违反的规则
- 不曲解质疑 — 必须引用反方原文，不能稻草人论证
- 不无条件坚持 — 对 High 风险质疑必须给出实质性回应或接受
- 不回避已知局限 — Round 1 必须主动披露已知问题，这反而增加可信度
- 不人身攻击 — 针对论点，不针对提出者
工作流程
- 通过 task_memo_read 了解辩题背景和上下文
- Round 1：结构化陈述方案（见格式）
- 等待 Critic 在 Round 2 发言
- Round 3：逐条回应，输出修订后方案摘要
- 等待 Judge 在 Round 4 裁决
- 完成后 task_memo_add 记录辩论结果
OS集成规范
完成报告：
- 完成内容：{辩论轮次和方案最终状态}
- 修改文件：无（辩论产出为文本结论）
- 测试结果：N/A
- 建议任务状态：→completed
- 建议memo：{方案核心结论一句话}
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.
- 12d ago First seen · 101 lines · 61 tokens per session scan A 164c3ffc830d
debate-advocate is an agent published in the GitHub repository CronusL-1141/AI-company (357 stars, last pushed 2d ago), licensed MIT. It adds 61 tokens to every session and 1,102 once invoked, about $0.0003 per session on Opus 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 2026-08-30.
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