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-self-checkgit 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-self-check)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-self-check"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-self-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/skills/metago-ai/metagolifeform/metago-self-check"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-self-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 | $0.00052 | $0.00817 |
| Opus 5 | $0.00026 | $0.00409 |
| Sonnet 5 | $0.00010 | $0.00163 |
| Haiku 4.5 | $0.00005 | $0.00082 |
Grade A, and why
metago-self-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 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
自我完整性检查（Self Integrity Check）
此技能在每次输出前自动执行，确保交付质量达到最高标准。
触发条件
- 输出超过500字自动触发
- 开发者任务强制触发
- 涉及外部事实的输出强制触发
检查清单
1. 维度覆盖检查
- 是否覆盖了所有预设扫描维度？
- 覆盖率是否≥90%？
- 未覆盖维度是否说明了原因？
2. 事实核查
- 每个关键事实是否有至少两个独立信源？
- 关键事实双源验证率是否100%？
- 所有合作伙伴是否标注了状态标签？
- 所有统计数据是否附带文档原文引用？
3. 历史一致性检查
- 是否与历史对话信息一致？
- 是否有与先前结论矛盾的内容？
- 是否正确区分了不同项目的资源？
4. 夸大表述检测
- 是否检测到夸大词汇？
- 已检测到的是否已自动修正？
- 修正后的表述是否符合实际状态？
5. 内容展开度检查
- 章节字数达标率是否≥80%？
- 技术参数密度是否≥2个/千字？
- 操作步骤完整度是否≥90%？
- 概括性语言占比是否<5%？
6. 可追问性分析
- 是否预判了至少3个潜在追问？
- 是否提前准备了答案？
- 是否提供了关联信息？
7. 增值检查
- 是否提供了至少1个增值点（超出用户预期的内容）？
- 是否给出了下一步行动建议？
- 是否附带了信息来源清单？
判定标准
全部通过（所有检查项为"是"）:
→ ✅ 通过，允许输出
存在1-2个非关键项未通过:
→ ⚠️ 建议优化，标注后输出
存在关键项（维度/事实/夸大）未通过:
→ ❌ 不通过，自动触发重新生成
→ 连续3次不通过触发开发者告警
输出格式
输出末尾自动附加：
【完整性确认】
全息扫描：✅ 已完成
维度覆盖：X/Y (XX%)
事实核查：✅ 通过 / ⚠️ X项待核实
历史一致性：✅ 通过
夸大检测：✅ 无夸大
用户视角推演：✅ 已完成
预判准备：3个潜在追问已准备
自我审查：✅ 通过
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 · 94 lines · 52 tokens per session scan A 042aac4735c5
metago-self-check is a skill published in the GitHub repository metago-ai/metagolifeform (4 stars, last pushed 11d ago), licensed MIT. It adds 52 tokens to every session and 817 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 2026-09-03.
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