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 EthanYoQ/Skill-hub --skill 163-email-ground-truthgit clone --depth 1 https://github.com/EthanYoQ/Skill-hubWrote 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/ethanyoq/skill-hub/163-email-ground-truth)<a href="https://agentmods.dev/skills/ethanyoq/skill-hub/163-email-ground-truth"><img src="https://agentmods.dev/badge/skills/ethanyoq/skill-hub/163-email-ground-truth/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/ethanyoq/skill-hub/163-email-ground-truth"><img src="https://agentmods.dev/badge/skills/ethanyoq/skill-hub/163-email-ground-truth.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 | $0.00070 | $0.00429 |
| Opus 5 | $0.00035 | $0.00215 |
| Sonnet 5 | $0.00014 | $0.00086 |
| Haiku 4.5 | $0.00007 | $0.00043 |
Grade A, and why
163-email-ground-truth 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
163 Email Ground Truth
触发条件
当任务涉及以下关键词时自动触发：
- 163 邮箱、网易邮箱、netease
- 163 真值集、163 跑批
- imap.163.com
必读文件
references/workflow-163.md— 163 专属工作流程references/pitfalls-163.md— 163 踩坑记录references/case-study-163.md— 本次 41 张已验证案例
与 QQ Skill 的关系
163 和 QQ 共用同一套核心处理逻辑，本 Skill 只记录 163 的差异点。
通用规则请参考 qq-email-ground-truth Skill。
关键差异
- IMAP ID 命令：163 登录后必须发送 RFC 2971 ID 命令
- 行程单分类：163 转发邮件中行程报销单容易被误判为打车发票
- 通讯费识别：联通发票 seller 为"中国联合网络通信"，不能按"联通"匹配
真值集位置
.claude/worktrees/test-163-batch/test_dataset/163_20260301_20260319/truth_manifest.json
凭证
- 邮箱：@163.com
- 授权码：<YOUR_163_AUTH_CODE>
- 区间：2026-03-01 ~ 2026-03-19
- INBOX 窗口邮件数：83
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 · 42 lines · 70 tokens per session scan A 9986a2bb1271
163-email-ground-truth is a skill published in the GitHub repository EthanYoQ/Skill-hub (9 stars, last pushed 5d ago), licensed MIT. It adds 70 tokens to every session and 429 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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