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 kaixindelele/wechat_agent_bridge_skills --skill news-fact-checkergit clone --depth 1 https://github.com/kaixindelele/wechat_agent_bridge_skillsWrote 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/kaixindelele/wechat_agent_bridge_skills/news-fact-checker)<a href="https://agentmods.dev/skills/kaixindelele/wechat_agent_bridge_skills/news-fact-checker"><img src="https://agentmods.dev/badge/skills/kaixindelele/wechat_agent_bridge_skills/news-fact-checker/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/kaixindelele/wechat_agent_bridge_skills/news-fact-checker"><img src="https://agentmods.dev/badge/skills/kaixindelele/wechat_agent_bridge_skills/news-fact-checker.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 | $0.00126 | $0.02393 |
| Opus 5 | $0.00063 | $0.01196 |
| Sonnet 5 | $0.00025 | $0.00479 |
| Haiku 4.5 | $0.00013 | $0.00239 |
Grade A, and why
news-fact-checker 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.
How it starts
The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
新闻截图真伪验证
用户发来一张新闻or资讯相关的截图，自动完成验证并输出可转发的综述。
输出长度硬性限制
最终回复不得超过 800 字 / 1600 字符。 微信平台对单条消息有隐性字符上限（约 2048），超限后静默替换为"请稍后再试"。 为安全起见，输出必须控制在 800 字以内。宁可精简措辞，不可超限。
推荐预装依赖 Skills
为了补充"最近30天"的社区线索和平台上下文，建议预装以下两个外部 Skill：
last30days：英文/全球社区近 30 天研究，适合 Reddit、X、YouTube、GitHub、Hacker News、Web 等来源last30days-cn：中文互联网近 30 天研究，适合微博、小红书、B 站、知乎、抖音、微信公众号、百度、头条等来源
依赖清单与安装脚本位于 news-fact-checker/dependencies/。推荐安装位置：
- Codex：
~/.codex/skills/last30days与~/.codex/skills/last30days-cn - Cursor：
~/.cursor/skills/last30days与~/.cursor/skills/last30days-cn - OpenClaw / ClawHub：
~/.agents/skills/last30days与~/.agents/skills/last30days-cn
如果这些依赖已经安装：
- 需要补充最近 30 天英文/全球社区讨论、开发者反馈、跨平台热度时，优先调用
/last30days - 需要补充最近 30 天中文平台讨论、热搜传播、社区反馈时，优先调用
/last30days-cn - 两者只用于补充线索、热度和上下文，不替代原帖定位、权威媒体核验和官方信源核验
工作流程
Step 1: 识别截图内容
用 Read 工具查看用户发送的图片，提取以下关键信息：
- 来源平台：X/推特、微博、新闻网站、公众号等
- 发布者：官方账号、个人、媒体
- 核心内容：事件摘要、关键人名/公司/数字
- 日期：帖子发布时间
- 可见 URL 或账号 ID：用于定位原帖
Step 2: 搜索原帖链接
用 WebSearch 搜索原始帖子，优先找到一手来源：
搜索策略（按优先级）：
1. site:x.com / site:weibo.com 等平台限定搜索，用关键词定位原帖
2. 发布者账号名 + 关键内容片段
3. 完整引用句搜索（加引号精确匹配）
如果原帖在 X/推特上，搜索示例：
site:x.com @账号名 关键词x.com 账号名 关键内容片段
注意：X 的公开搜索和搜索引擎收录都比较严格。如果直接 WebSearch 对 x.com 命中很差、结果为空、或只返回二手转述，不能据此直接判定原帖不存在；要立即切换为"实时 WebSearch + XCancel 镜像"双轨检索，继续交叉定位原帖。
X 检索补充策略：
- 原链检索：
site:x.com @账号名 关键词、site:x.com/账号名/status 关键词 - 镜像检索：
site:xcancel.com @账号名 关键词、site:xcancel.com/账号名/status 关键词 - 如果已知账号名和
status ID，优先直接尝试：https://x.com/<账号>/status/<id>与https://xcancel.com/<账号>/status/<id> - 输出时链接优先级保持：原链
x.com> 镜像xcancel.com> 其他聚合/转述页
Step 3: 搜索权威媒体报道与近 30 天上下文
用 WebSearch 搜索多家权威媒体的报道来交叉验证：
优先搜索的权威来源：
- 英文：Reuters, AP, BBC, NYT, WSJ, CNBC, TechCrunch, Bloomberg，information，X和YouTube的官方账号，领英的个人主页，谷歌学术等；
- 中文：新华社, 央视新闻, 人民日报，财新, 澎湃, 第一财经, 36氪, 界面等
搜索时用 2-3 组不同关键词组合，确保覆盖面。
如果截图内容明显属于最近 30 天内持续发酵的话题，且依赖 Skills 已安装，可先补充一轮近 30 天上下文搜索：
- 英文/全球社区：
/last30days <话题> - 中文平台：
/last30days-cn <话题>
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 192 lines · 126 tokens per session scan A 17a1dc3efe90
news-fact-checker is a skill published in the GitHub repository kaixindelele/wechat_agent_bridge_skills (20 stars, last pushed 4mo ago), licensed MIT. It adds 126 tokens to every session and 2,393 once invoked, about $0.0006 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 2026-08-30.
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