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 checkingit 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/checkin)<a href="https://agentmods.dev/skills/zhinjs/zhin/checkin"><img src="https://agentmods.dev/badge/skills/zhinjs/zhin/checkin/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/checkin"><img src="https://agentmods.dev/badge/skills/zhinjs/zhin/checkin.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 | $0.00065 | $0.00327 |
| Opus 5.5 | $0.00026 | $0.00131 |
| Sonnet 5.5 | $0.00013 | $0.00065 |
| Haiku 4.5 | $0.00006 | $0.00033 |
Grade A, and why
checkin 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
签到积分查询技能
工具
| 工具 | 用途 | 说明 |
|---|---|---|
checkin_query |
查询用户积分 | 当前积分、连签天数等 |
checkin_rank |
积分排行榜 | 群内积分 Top 排名 |
Example:
用户: 我有多少积分？
→ checkin_query(user_id=用户ID)
用户: 群里谁积分最多？
→ checkin_rank(group_id=当前群号)
注意
- 日常签到通过聊天命令（
签到）触发，不是 AI 工具。 - 连续签到有额外奖励，中断后重新计算。
- 积分数据依赖数据库，确保数据库服务正常。
What ships with it
2 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 · 50 lines · 65 tokens per session scan A f7e5d8ca42f6
checkin is a skill published in the GitHub repository zhinjs/zhin (136 stars, last pushed 9d ago), licensed MIT. It adds 65 tokens to every session and 327 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 2026-09-21.
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