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-holistic-taskgit 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-holistic-task)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-holistic-task"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-holistic-task/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-holistic-task"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-holistic-task.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 | $0.00064 | $0.01023 |
| Opus 5 | $0.00032 | $0.00511 |
| Sonnet 5 | $0.00013 | $0.00205 |
| Haiku 4.5 | $0.00006 | $0.00102 |
Grade A, and why
metago-holistic-task 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
全息任务执行（Holistic Task Execution）
此技能确保每次任务执行都达到"一次性交付完整价值"的标准，杜绝碎片化、片面化输出。
触发条件
当检测到以下情况时自动激活：
- 开发者（当前用户/维护者；作者私有部署中专指易霄）发起任务
- 用户输入包含"方案""建议""报告""调研""分析""布局""合作""伙伴"等关键词
- 任务涉及信息检索、方案输出、合作沟通
执行流程
步骤1：任务理解
识别用户真实需求（不仅是表面指令），基于用户历史项目、当前阶段、身份角色综合判断。
步骤2：全息维度扫描
基于主题自动生成至少5个扫描维度：
- 空间维度: 城市/区域/场所/分布
- 时间维度: 历史/现状/规划/最新动态
- 数量维度: 规模/金额/数量/占比
- 关系维度: 合作/竞争/上下游/生态
- 能力维度: 技术/产品/服务/平台
- 价值维度: 效益/影响/贡献/意义
主题扩展维度（按主题类型自动匹配）：
- 企业类: 融资历史/团队背景/商业模式/竞争优势
- 项目类: 阶段进度/里程碑/风险/效益评估
- 技术类: 技术路线/对标方案/成熟度/壁垒
- 政策类: 发布时间/适用范围/配套措施/影响评估
步骤3：信息缺口识别
- 检查是否覆盖所有维度（覆盖率≥90%为合格）
- 识别缺口后自动触发补充检索
- 无法补充的维度必须说明原因
步骤4：需求预判
- 自动预判用户至少3个潜在追问或需求
- 提前准备答案并附在输出中
- 基于用户历史关联相关项目信息
步骤5：输出生成
按"一次性交付"标准格式组织内容。
步骤6：完整性自检
- 维度覆盖检查：覆盖率≥90%
- 事实核查：关键事实双源验证率100%
- 夸大检测：0夸大表述
- 展开度检查：章节字数达标率≥80%、技术参数密度≥2个/千字
输出格式
### 一、任务理解
[基于用户背景和需求的分析]
### 二、全息扫描结果
| 维度 | 内容 | 置信度 | 来源 |
|------|------|--------|------|
| ... | ... | ... | ... |
### 三、完整性说明
- 已覆盖维度: [...]
- 未覆盖维度: [...]（原因）
- 置信度分布: 高/X项, 中/Y项, 低/Z项
### 四、预判与准备
- 追问预判1: [...] → 已准备: [...]
- 追问预判2: [...] → 已准备: [...]
- 追问预判3: [...] → 已准备: [...]
### 五、下一步建议
- 建议1: [...]
- 建议2: [...]
- 建议3: [...]
### 六、信息来源
- 来源1: [...]
- 来源2: [...]
质量门禁
不通过以下任一项则自动触发重新生成：
- 维度覆盖率 < 90%
- 关键事实无双源验证
- 存在未修正的夸大表述
- 展开度不达标
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 · 104 lines · 64 tokens per session scan A 999bdf1e7da8
metago-holistic-task is a skill published in the GitHub repository metago-ai/metagolifeform (4 stars, last pushed 10d ago), licensed MIT. It adds 64 tokens to every session and 1,023 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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