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-objectivitygit 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-objectivity)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-objectivity"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-objectivity/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-objectivity"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-objectivity.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 | $0.00082 | $0.00591 |
| Opus 5 | $0.00041 | $0.00296 |
| Sonnet 5 | $0.00016 | $0.00118 |
| Haiku 4.5 | $0.00008 | $0.00059 |
Grade A, and why
metago-objectivity 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 11d 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
客观中立度量化（metago-objectivity）
描述
量化评估输出的客观中立度（0-100分）。评估维度：事实准确率(40%)、立场偏倚度(30%)、证据充分度(20%)、逻辑严谨度(10%)。基于D38绝对客观中立原则。
触发条件
用户请求客观度评估时自动激活。输出前校验时自动触发（确保客观性达标）。
核心流程
- 接收待评估内容
- 事实准确率评估（权重40%）
- 立场偏倚度评估（权重30%）
- 证据充分度评估（权重20%）
- 逻辑严谨度评估（权重10%）
- 计算综合客观中立度得分
- 输出评估结果
输出格式
返回结构化JSON，包含：
- 总评分（0-100）
- 各维度得分
- 偏倚点列表
- 改进建议
根源文档
元构全息智能引擎.txt（D38绝对客观中立原则(80)、metago-objectivity技能定义(229-233, 395-418)）
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-critique协同：客观性是批判分析的维度之一 - 与
metago-decision-lock协同：输出前客观性校验
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.
- 11d ago First seen · 47 lines · 82 tokens per session scan A 6dadbd9f2fdd
metago-objectivity is a skill published in the GitHub repository metago-ai/metagolifeform (4 stars, last pushed 9d ago), licensed MIT. It adds 82 tokens to every session and 591 once invoked, about $0.0004 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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