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-fact-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-fact-check)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-fact-check"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-fact-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-fact-check"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-fact-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 | $0.00066 | $0.00916 |
| Opus 5.5 | $0.00026 | $0.00366 |
| Sonnet 5.5 | $0.00013 | $0.00183 |
| Haiku 4.5 | $0.00007 | $0.00092 |
Grade A, and why
metago-fact-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 1mo 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
事实核查（Fact Check）
此技能确保所有涉及外部事实的陈述准确、真实、合规，杜绝夸大、虚构和误导性表述。
触发条件
检测到以下关键词自动触发：
- 合作、协同、伙伴、结盟
- 已建立、已完成、已对接
- 深度、战略、紧密、全面
- 任何企业/机构名称
执行步骤
步骤1：合作伙伴状态标注
每个合作伙伴首次出现时必须附带状态标签：
| 状态 | 标签 | 定义 | 置信度 |
|---|---|---|---|
| 已合作 | ✅ 已合作 | 有签署协议或已实质性合作 | ≥0.9 |
| 意向中 | 🔄 意向中 | 已初步接洽，正在推进 | 0.7-0.89 |
| 待接触 | 👀 待接触 | 锁定目标，尚未正式对接 | 0.5-0.69 |
| 调研发现 | 📊 调研发现 | 基于公开信息识别，未接触 | <0.5 |
标注格式: [状态标签] 企业名称 - 合作领域（置信度XX%）
步骤2：事实置信度评估
| 置信度 | 标签 | 含义 |
|---|---|---|
| 90-100% | ✅ 已确认 | 多源验证，有明确证据链 |
| 70-89% | 📊 较高置信度 | 单源但权威 |
| 50-69% | ⚠️ 待核实 | 基于可靠推理 |
| <50% | 🔍 需确认 | 推测或意向 |
置信度<50%的信息不得作为确定事实呈现。
步骤3：夸大表述检测
检测并修正夸大词汇：
- 一级夸大（系数0.3）: 协同、合作、伙伴
- 二级夸大（系数0.5）: 深度、紧密、全面
- 三级夸大（系数0.8）: 战略、核心、主导
- 四级夸大（系数1.0）: 垄断、绝对、颠覆
修正规则：
- 状态为"意向中" → 替换为"正在推进""意向中"
- 状态为"待接触" → 替换为"目标锁定""潜在伙伴"
- 状态为"调研发现" → 替换为"基于调研识别""潜在目标"
- 无证据 → 自动阻断输出
步骤4：自动修正
不符合实际状态的夸大表述自动替换为中性表述，修正后输出必须附带说明。
输出示例
修正前: "与腾盾科创建立深度协同"
修正后: "已锁定[👀待接触]腾盾科创为目标合作伙伴"
修正前: "与沃飞长空战略合作"
修正后: "与[🔄意向中]沃飞长空正在推进合作"
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.
- 1mo ago First seen · 82 lines · 66 tokens per session scan A 36dab0b640fb
metago-fact-check is a skill published in the GitHub repository metago-ai/metagolifeform (5 stars, last pushed today), licensed MIT. It adds 66 tokens to every session and 916 once invoked, about $0.0003 per session on Opus 5.5. 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.
Other skills, from other repositories
todo-for-ai-agent-runtime
Runtime integration skill for external agents connecting to Todo for AI over HTTP API Token / Agent Key, including auth, task lease, events, commit, and task logs.
monetization-guide
A Chinese-language guide for creating business and pricing plans. It first classifies the situation, such as launching a new paid product, changing prices, or exploring a new way to earn revenue.
wechat-article-scraper
A batch tool for downloading WeChat public-account articles from their URLs as Markdown files. It also downloads the articles' images and links them locally.
karpathy-guidelines
Tool-agnostic behavioral guidelines for AI coding assistants. Use when writing, reviewing, debugging, or refactoring code to reduce overengineering, surface ambiguity, make surgical changes, and define verifiable success criteria.
prototype-web
A clickable, high-fidelity web product prototype with navigation, a hero section, feature cards, steps, social proof, and optional pricing. It is designed to resemble a finished landing page while remaining a prototype.
loop-engineering
Shared loop-engineering reference for COG skills - the agent loop, deterministic verifiers, termination conditions, in-loop context management, and named patterns. Invoke when designing or debugging a skill that iterates (search-verify-retry, scan-until-dry, fetch-retry-gate).