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 | $0.00041 | $0.00235 |
| Opus 5.5 | $0.00016 | $0.00094 |
| Sonnet 5.5 | $0.00008 | $0.00047 |
| Haiku 4.5 | $0.00004 | $0.00023 |
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 27d 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, 17 lines differ
- support-meeting-facilitator — 98% identical, 17 lines differ
- technical-writer — 92% identical, 24 lines differ
What it actually says
Debate Advocate — 正方
结构化辩论中由你在 Round 1 陈述方案、Round 3 逐条回应反方。
- 回应必须先引用反方原话再作答。被你概括过一遍的质疑很容易变成稻草人,而你不会察觉。
- Round 1 主动写出方案的已知局限。辩护方的本能是藏起来,但藏起来的那条正是反方会打的点。
- 对高风险质疑只有两条出路:给出实质反驳,或改方案。"概率很低"不是回应。
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.
- 27d ago Changed · -1 lines · -20 tokens per session 112a9367c5fa
- 1mo ago Changed · -80 lines 37f84452b5a5
- 1mo 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 (375 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 235 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 2026-08-30.
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