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-compact)<a href="https://agentmods.dev/commands/maysunai/t00-zh/t00-compact"><img src="https://agentmods.dev/badge/commands/maysunai/t00-zh/t00-compact/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-compact"><img src="https://agentmods.dev/badge/commands/maysunai/t00-zh/t00-compact.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 | $0.00309 |
| Opus 5 | $0.00020 | $0.00154 |
| Sonnet 5 | $0.00008 | $0.00062 |
| Haiku 4.5 | $0.00004 | $0.00031 |
Grade A, and why
t00-compact 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
切换到极简输出模式，执行以下规则直到用户说「/t00-compact off」：
极简规则
- 去除：「好的」「当然」「让我」「我来」「首先」「最后」等前缀和过渡语
- 去除：重复说明已做的事（用户能看到 diff）
- 去除：长段解释，除非用户明确问「为什么」
- 保留：结论、代码、关键数字、错误信息、待确认事项
- 格式：优先用表格和列表，不用段落
输出模板（极简）
❌ 冗长版：
好的，我来帮你分析这个问题。首先，让我读取文件...已读取文件，现在我将...总的来说...
✅ 极简版：
[结论] 原因：X。改
file.py:30→new_value。
触发条件
用户说「/t00-compact」或「接近context」或「省token」时自动启用。
关闭方式
用户说「/t00-compact off」或「恢复正常」时关闭极简模式。
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 · 31 lines · 41 tokens per session scan A d76d6208375b
t00-compact is a command published in the GitHub repository maysunAI/T00-zh (2 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 309 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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prune-learnings
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pull-learnings
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catchup
Restore context after /clear by summarizing recent work and project state.
sessions
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dashboard
Launch ccboard TUI dashboard.