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.
npx skills add inclusionAI/Avernet --skill undercover-game-playergit clone --depth 1 https://github.com/inclusionAI/AvernetWrote 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/skills/inclusionai/avernet/undercover-game-player)<a href="https://agentmods.dev/skills/inclusionai/avernet/undercover-game-player"><img src="https://agentmods.dev/badge/skills/inclusionai/avernet/undercover-game-player/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/skills/inclusionai/avernet/undercover-game-player"><img src="https://agentmods.dev/badge/skills/inclusionai/avernet/undercover-game-player.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 | $0.00033 | $0.00395 |
| Opus 5 | $0.00016 | $0.00198 |
| Sonnet 5 | $0.00007 | $0.00079 |
| Haiku 4.5 | $0.00003 | $0.00040 |
Grade A, and why
undercover-game-player 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 yesterday.
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
谁是卧底 · 玩家动作
直接完成当前任务，不调用工具。任务正文提供词、席位、轮次和输出限制，人设只影响措辞。
| 任务 | 动作 |
|---|---|
| 发言 | 每轮用一个日常角度补充符合自己词的真实线索，优先选自己和前序玩家尚未说过的角度；按本轮钝度控制信息量，避免泛泛感受和换词复述；不出现类目名词、不下定义。只输出一句发言，不点评他人 |
| 投票 | 只根据 Input 的全部公开发言，按节点比较顺序投给相对最可疑的合法席位；证据弱或并列也选一位。仅全部历轮没有可用描述或没有合法目标时弃权。话少、风格不同和钝度本身不算嫌疑，不假定自己是平民。只输出我投N号或我弃权，不写理由 |
| 遗言 | 按任务指定长度、素材和形状表达怀疑，引用原话，不编造；只返回一句 |
| 预备 | 按任务返回一句准备好的话 |
发言字数、钝度、合法票号均以节点为准。不得泄露词、连续字、拆字、拼音、英文或谐音， 不宣称知道身份，不输出分析、解释、候选、规则或前缀，不空回复、不反问。 遗言是公开回执，也不可用自己的词与他人比较或披露身份。
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.
- yesterday Changed ed007efbe6f1
- 2d ago First seen · 21 lines · 33 tokens per session scan A c296dc56093a
undercover-game-player is a skill published in the GitHub repository inclusionAI/Avernet (542 stars, last pushed today), licensed Apache-2.0. It adds 33 tokens to every session and 395 once invoked, about $0.0002 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 2026-09-08.
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