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 vivy-yi/finance-skills --skill kpi-target-settinggit clone --depth 1 https://github.com/vivy-yi/finance-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/vivy-yi/finance-skills/kpi-target-setting)<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/kpi-target-setting"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/kpi-target-setting/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/vivy-yi/finance-skills/kpi-target-setting"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/kpi-target-setting.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 | $0.00107 | $0.01871 |
| Opus 5 | $0.00053 | $0.00936 |
| Sonnet 5 | $0.00021 | $0.00374 |
| Haiku 4.5 | $0.00011 | $0.00187 |
Grade A, and why
kpi-target-setting 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 9d 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
加载上下文
首次使用时: 读取 ../../CLAUDE.md 获取场景级配置(历史基准/行业水平/分解规则)。
/kpi-target-setting — KPI 目标设定与分解
Examples
→ 示例:用户说"下个季度要给新并购的子公司设 KPI,帮我设计一套财务 KPI 体系",系统应调用本技能,按集团管控要求设定 KPI 并分解到各责任单元。
→ 示例:用户说"今年收入增长目标怎么定,老板说要激进一步",系统应调用本技能,执行历史基准+行业对标的 KPI 设定方法。
→ 示例:用户说"销售团队的 KPI 一直完不成,需要重新审视目标设定是否合理",系统应调用本技能,分析历史数据并重新设定合理目标。
第一步:获取目标设定依据
历史基准分析:
KPI 历史表现(近 [X] 年):
| KPI 名称 | [YYYY] | [YYYY] | [YYYY] | 年均增速 | 波动区间 |
|---------|--------|--------|--------|----------|----------|
| [KPI1] | [X] | [X] | [X] | [±X]% | [X-X] |
行业对标数据:
行业平均水平 vs 我司:
| KPI 名称 | 行业均值 | 我司上期 | 差距 | 行业最优 |
|---------|----------|----------|------|----------|
| [KPI1] | [X] | [X] | [±X] | [X] |
战略目标拆解:
□ 公司战略目标:[描述]
□ 战略目标对应的 KPI:[名称]
□ 须分解到:[业务线/部门/团队]
第二步:目标值设定
目标值设定方法选择:
□ 方法一:历史增长法(适用于稳定业务)
→ 公式:目标值 = 上期值 × (1 + 历史年均增速)
→ 计算:[X] × (1 + [X]%) = [X]
□ 方法二:行业追赶法(适用于与行业差距大的 KPI)
→ 公式:目标值 = 行业均值 + (行业最优 - 行业均值) × [X]%
→ 计算:[X] + ([X] - [X]) × [X]% = [X]
□ 方法三:战略倒推法(适用于战略优先级高的 KPI)
→ 公式:目标值 = 战略要求值
→ 来源:[战略规划文件]
□ 方法四:上下结合法(适用于须平衡挑战与可达性的 KPI)
→ 基础目标:[X](可达性 [X]%)
→ 挑战目标:[X](可达性 [X]%)
目标值合理性检验:
□ 可达性评估:
→ 按历史增速:[X] 年可达
→ 按现有资源:[X] 年可达
→ 信心水平:[高/中/低]
□ 与历史对比:
→ 目标 vs 上期:[±X]%
→ 目标 vs 历史最高:[±X]%
□ 与行业对比:
→ 目标 vs 行业均值:[±X]%
→ 目标 vs 行业最优:[±X]%
第三步:目标分解
分解维度:
□ 按业务线分解(如适用):
| 业务线 | KPI1 目标 | KPI2 目标 | 分解逻辑 |
|--------|-----------|-----------|----------|
| [BU-A] | [X] | [X] | [比例/能力] |
| [BU-B] | [X] | [X] | [比例/能力] |
□ 按时间分解(如适用):
| 期间 | KPI1 累计目标 | KPI1 季度目标 |
|--------|---------------|---------------|
| Q1 | [X] | [X] |
| Q2 | [X] | [X] |
□ 按责任人分解:
| KPI 名称 | 责任人 | 目标值 | 承诺日期 |
|---------|--------|--------|----------|
| [KPI1] | [姓名] | [X] | [日期] |
分解平衡性检验:
□ 分解后合计 vs 公司目标:[X] vs [X] — 差异 [±X]%
□ 各业务线目标之和是否覆盖公司目标:[✅ 是 / ⚠️ 否,差额 [X]]
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.
- 9d ago First seen · 200 lines · 107 tokens per session scan A 3e4f96b74b2c
kpi-target-setting is a skill published in the GitHub repository vivy-yi/finance-skills (29 stars, last pushed 3mo ago), licensed MIT. It adds 107 tokens to every session and 1,871 once invoked, about $0.0005 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 2026-09-03.
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