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 AgiWish/hermes-skills-zh --skill kpi-report-zhgit clone --depth 1 https://github.com/AgiWish/hermes-skills-zhWrote 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/agiwish/hermes-skills-zh/kpi-report-zh)<a href="https://agentmods.dev/skills/agiwish/hermes-skills-zh/kpi-report-zh"><img src="https://agentmods.dev/badge/skills/agiwish/hermes-skills-zh/kpi-report-zh/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/agiwish/hermes-skills-zh/kpi-report-zh"><img src="https://agentmods.dev/badge/skills/agiwish/hermes-skills-zh/kpi-report-zh.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 | $0.00042 | $0.00790 |
| Opus 5 | $0.00021 | $0.00395 |
| Sonnet 5 | $0.00008 | $0.00158 |
| Haiku 4.5 | $0.00004 | $0.00079 |
Grade A, and why
kpi-report-zh 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
KPI 汇报生成 (kpi-report-zh)
When to Use
- "帮我写 KPI 汇报"、"月度数据汇报怎么写"
- 有一堆数字需要组织成汇报格式
/kpi-report-zh [指标名称 目标值 实际值]
Quick Reference
/kpi-report-zh [指标列表 + 达成情况]
示例输入：
DAU 目标10万 实际8.2万
付费转化率 目标5% 实际3.8%
次日留存 目标40% 实际43%
可选参数：
--period=月度 # 月度汇报（默认）
--period=季度 # 季度汇报
--style=向上 # 向上汇报风格，侧重亮点和归因
--style=团队 # 团队内部，侧重问题和改进
Procedure
-
解析指标数据，计算达成率，自动判断 RAG 状态：
- 🟢 达成（≥95%）
- 🟡 接近（80-95%）
- 🔴 未达成（<80%）
-
输出 KPI 汇报
## [周期] KPI 汇报
**汇报日期**：[日期]
**汇报人**：[姓名 / 团队]
### 一、核心指标达成
| 指标 | 目标 | 实际 | 达成率 | 状态 |
|------|------|------|--------|------|
| [指标1] | [目标值] | [实际值] | [X%] | 🟢 |
| [指标2] | [目标值] | [实际值] | [X%] | 🟡 |
| [指标3] | [目标值] | [实际值] | [X%] | 🔴 |
### 二、亮点与归因
✅ **[超预期指标]**：达成 [X%]，主要因为 [原因]
### 三、未达项分析
❌ **[未达指标]**：达成 [X%]，差距 [N]
- 原因分析：[可控因素 + 不可控因素]
- 已采取措施：[具体行动]
- 预计修复时间：[时间节点]
### 四、下阶段计划
- [重点行动1]：目标 [X]，负责人 [人名]
- [重点行动2]：...
### 五、需要支持
- [需要外部资源 / 决策支持的事项]（如无填"暂无"）
Pitfalls
- 未达项必须有归因，不能只列数字
- 区分可控原因和不可控原因（外部环境不能作为唯一解释）
- 下阶段计划要具体，不能写"继续努力"
Verification
- 达成率计算正确
- 每个未达项有根因分析
- 下阶段计划有具体行动和时间节点
- 整体基调客观，不过度美化也不过度悲观
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 · 90 lines · 42 tokens per session scan A 0a65ca97392d
kpi-report-zh is a skill published in the GitHub repository AgiWish/hermes-skills-zh (5 stars, last pushed 3mo ago), licensed MIT. It adds 42 tokens to every session and 790 once invoked, about $0.0002 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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