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-session-end)<a href="https://agentmods.dev/commands/maysunai/t00-zh/t00-session-end"><img src="https://agentmods.dev/badge/commands/maysunai/t00-zh/t00-session-end/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-session-end"><img src="https://agentmods.dev/badge/commands/maysunai/t00-zh/t00-session-end.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 | $0.00040 | $0.00461 |
| Opus 5 | $0.00020 | $0.00230 |
| Sonnet 5 | $0.00008 | $0.00092 |
| Haiku 4.5 | $0.00004 | $0.00046 |
Grade A, and why
t00-session-end 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 9d 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
⚡ 接近 context 上限（约 100k tokens）时提前触发本命令，生成 Handoff 摘要以便下次无缝衔接。
请执行会话结束存档流程。按以下顺序完成：
-
确认本次变更 — 列出本次会话中修改或新增的所有文件
-
创建 D 文件（变更记录） →
Docs/P01_changes/D[NN]_[YYYYMMDD]_[概要].md- 包含：变更文件列表、每个文件的具体改动内容
-
创建 QA 文件（会话记录） →
Docs/QA01_sessions/QA[NNN]_session_[YYYY_MM_DD].md- 包含：主要作业内容、实现要点、用户原始提问（末尾必须附上）
-
如有 Bug 修复 →
Docs/BG01_bugs/BG[NN]_[YYYYMMDD]_[概要].md- 包含：现象、根本原因、解决方法、修改文件
-
追加变更日志 →
Docs/CL01_changelog/CL001_log.md- 格式：
## [YYYY-MM-DD] — [简述]
- 格式：
-
更新 RESUME.md — 写入：今日完成项 / 下一步 / 快速上下文（3-5条）
-
向用户报告 — 以 Markdown 链接格式列出所有新建文件
编号规则：
- D 文件：两位数（D01, D02...）查现有最大编号+1
- QA 文件：三位数（QA001, QA002...）查现有最大编号+1
- BG 文件：两位数（BG01, BG02...）
- 同一天多次会话：文件名末尾加
_2,_3
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.
- 9d ago First seen · 33 lines · 40 tokens per session scan A 5cc7d8428939
t00-session-end is a command published in the GitHub repository maysunAI/T00-zh (2 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 461 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 2026-08-31.
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