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/maysunAI/T00-zhWrote 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/commands/maysunai/t00-zh/t00-rules-check)<a href="https://agentmods.dev/commands/maysunai/t00-zh/t00-rules-check"><img src="https://agentmods.dev/badge/commands/maysunai/t00-zh/t00-rules-check/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/commands/maysunai/t00-zh/t00-rules-check"><img src="https://agentmods.dev/badge/commands/maysunai/t00-zh/t00-rules-check.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 | $0.00029 | $0.00662 |
| Opus 5 | $0.00015 | $0.00331 |
| Sonnet 5 | $0.00006 | $0.00132 |
| Haiku 4.5 | $0.00003 | $0.00066 |
Grade A, and why
t00-rules-check 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 10d 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
用户说「/t00-rules-check」时，执行以下检查：
也可用于完整8步规则优化（用户说「规则优化」时执行 Step A-H）： Step A: 复制全部规则 → Step B: 分类 → Step C: 组合整合 → Step D: 优先级排序 Step E: 低优先级测试（废弃标准：与高优先矛盾/95%重复/无法量化） Step F: 输出废弃清单+报告 → Step G: 等用户确认 → Step H: 整合+备份+替换
Step 1：L1 效率检查
读取以下文件，统计自动加载总行数：
F:\T00\CLAUDE.mdF:\T00\AI00_Common\CLAUDE.mdF:\T00\AI00_Common\rules\R06_trust_levels.md- 任何在
F:\T00\.claude\rules\下的文件
判断：
- ≤ 150 行 → ✅ 优秀
- 151-200 行 → 🟡 偏多，建议精简
- 201-333 行 → ⚠️ 危险区（规则开始被忽略）
-
333 行 → 🔴 严重超载
同时检查 F:\T00\.claude\rules\ 下是否有项目专用规则（应该是空的）。
Step 2：L2 Reply 格式检查
读取 temp03_reply.md 最近一个 ══ 区块，检查：
- 包含原文（逐字）
- 包含日期时间
- 包含 📌 行号标注
- 无"下一步再做"等延迟项（reply 必须当场完整）
Step 3：L3 框架规则检查
- 检查是否有内容散落在 T00 根目录（不在任何 PJ 文件夹）
- 检查 RESUME.md 是否最近更新（最后一次「再见」后是否更新）
Step 4：输出报告
=== T00 规则合规检查报告 ===
📏 L1 效率
自动加载总行数：XXX 行
状态：✅/🟡/⚠️/🔴
问题：[如有]
📝 L2 Reply 格式
最近区块：[日期]
原文完整：✅/❌
含时间：✅/❌
含行号：✅/❌
无延迟项：✅/❌
📁 L3 框架
根目录散落文件：[列出/无]
RESUME.md 状态：[最后更新日期]
💡 优化建议
- [具体建议]
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.
- 10d ago First seen · 69 lines · 29 tokens per session scan A 17440347cc83
t00-rules-check is a command published in the GitHub repository maysunAI/T00-zh (2 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 662 once invoked, about $0.0001 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 2026-08-31.
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