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 zhinjs/zhin --skill group-daily-analysisgit clone --depth 1 https://github.com/zhinjs/zhinWrote 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/zhinjs/zhin/group-daily-analysis)<a href="https://agentmods.dev/skills/zhinjs/zhin/group-daily-analysis"><img src="https://agentmods.dev/badge/skills/zhinjs/zhin/group-daily-analysis/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/zhinjs/zhin/group-daily-analysis"><img src="https://agentmods.dev/badge/skills/zhinjs/zhin/group-daily-analysis.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 | $0.00050 | $0.00260 |
| Opus 5.5 | $0.00020 | $0.00104 |
| Sonnet 5.5 | $0.00010 | $0.00052 |
| Haiku 4.5 | $0.00005 | $0.00026 |
Grade A, and why
group-daily-analysis 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 26d 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
群日常分析
基于运行时统计数据分析群活跃度，并在需要时生成统一格式的群公告文本。
能力
- 统计群消息数量、参与人数、活跃时段分布
- 查询指定成员的今日、本周和累计消息数
- 生成群公告或通知文本
- 支持按群启用/禁用分析功能
- 定时任务自动生成分析报告推送到群内
- 通过聊天命令管理分析设置
group_announce 只生成文本，不直接发送消息；发送仍走统一消息链路。
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.
- 26d ago First seen · 37 lines · 50 tokens per session scan A 962157c3c117
group-daily-analysis is a skill published in the GitHub repository zhinjs/zhin (136 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 260 once invoked, about $0.0002 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 2026-09-21.
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