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 metago-ai/metagolifeform --skill metago-action-plangit clone --depth 1 https://github.com/metago-ai/metagolifeformWrote 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/metago-ai/metagolifeform/metago-action-plan)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-action-plan"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-action-plan/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/metago-ai/metagolifeform/metago-action-plan"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-action-plan.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 | $0.00052 | $0.00522 |
| Opus 5 | $0.00026 | $0.00261 |
| Sonnet 5 | $0.00010 | $0.00104 |
| Haiku 4.5 | $0.00005 | $0.00052 |
Grade A, and why
metago-action-plan 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 12d 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
行动计划生成（metago-action-plan）
描述
将目标分解为可执行的步骤序列。每个步骤必须是可执行的，有明确的依赖关系和预期耗时，高风险步骤标注提醒和回滚方案。
触发条件
用户请求行动计划时自动激活。决策锁关卡1意图验证通过后自动触发（生成执行步骤）。
核心流程
- 接收目标描述
- 目标分解为步骤序列
- 标注步骤间依赖关系
- 估算每个步骤预期耗时
- 识别高风险步骤并标注提醒
- 为高风险步骤制定回滚方案
- 输出完整行动计划
输出格式
返回结构化JSON，包含：
- 步骤列表（含序号、描述、依赖、耗时）
- 高风险步骤标注
- 回滚方案
- 总预计耗时
根源文档
元构全息智能引擎.txt（metago-action-plan技能定义(235-239, 420-452)）
注：完整蓝本未随公开仓库发布，以上为出处留存备查；本技能正文已自包含全部操作定义，运行时无需读取蓝本。
与其他技能的协同
- 与
metago-decision-lock协同：意图验证后生成执行计划 - 与
metago-decision-eval协同：计划接受决策评估 - 与
metago-holistic-task协同：全息任务执行时生成行动计划
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.
- 12d ago First seen · 48 lines · 52 tokens per session scan A ac0d44228d05
metago-action-plan is a skill published in the GitHub repository metago-ai/metagolifeform (4 stars, last pushed 10d ago), licensed MIT. It adds 52 tokens to every session and 522 once invoked, about $0.0003 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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