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 fund-forecastgit 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/fund-forecast)<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/fund-forecast"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/fund-forecast/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/fund-forecast"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/fund-forecast.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 | $0.00108 | $0.02542 |
| Opus 5 | $0.00054 | $0.01271 |
| Sonnet 5 | $0.00022 | $0.00508 |
| Haiku 4.5 | $0.00011 | $0.00254 |
Grade A, and why
fund-forecast 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 — 292 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(预测周期/假设条件/缺口容忍度)。
/fund-forecast — 资金预测
Examples
→ 示例:用户说"下个季度有大笔 Capex 支出,帮我预测一下资金缺口",系统应调用本技能,执行中期资金缺口预测。
→ 示例:用户说"帮我们做一个未来 12 个月的现金流预测,包含三种情景",系统应调用本技能,生成 12 个月三情景现金流预测。
→ 示例:用户说"年度资金预测要发给银行作为贷款续期材料,帮我准备",系统应调用本技能,生成银行用年度资金预测报告。
第一步:获取预测数据
从 [CASH]/[OA]/[ERP] 获取预测数据:
□ 预测期间:未来 [X] 天/[X] 周/[X] 月
□ 期初余额:[XXX万]
□ 预测收入:[XXX万]
□ 预测支出:[XXX万]
□ 获取字段:
期初余额 | 收款 | 付款 | 期末余额 | 缺口
第二步:短期资金预测(未来 [X] 天)
逐日/逐周预测:
□ 期初余额:[XXX万]
| 日期/周 | 预计收款 | 预计付款 | 净额 | 期末余额 | 缺口 |
|---------|----------|----------|------|----------|------|
[日1/周1] | [XXX万] | [XXX万] | [±XXX万] | [XXX万] | [无/XXX万]
[日2/周2] | [XXX万] | [XXX万] | [±XXX万] | [XXX万] | [无/XXX万]
[日3/周3] | [XXX万] | [XXX万] | [±XXX万] | [XXX万] | [无/XXX万]
...
[期末] | [XXX万] | [XXX万] | [±XXX万] | [XXX万] | [无/XXX万]
收入明细:
□ 预计收款来源:
- 客户A:[XXX万](到期 [YYYY-MM-DD])
- 客户B:[XXX万](到期 [YYYY-MM-DD])
- 应收账款到期:[XXX万]
- 其他:[XXX万]
□ 确定收款:[XXX万](有合同/发票)
□ 预计收款:[XXX万](基于历史回款率 [X%])
支出明细:
□ 预计付款:
- 供应商A:[XXX万](到期 [YYYY-MM-DD])
- 供应商B:[XXX万](到期 [YYYY-MM-DD])
- 工资/社保:[XXX万]([YYYY-MM-DD])
- 税款:[XXX万]([YYYY-MM-DD])
- 贷款还款:[XXX万]([YYYY-MM-DD])
- 其他:[XXX万]
□ 刚性支出:[XXX万](工资/税费/到期贷款)
□ 可延后支出:[XXX万](可协商延期)
第三步:中期资金预测(未来 [X] 月)
逐月预测:
□ 期初余额:[XXX万]
| 月份 | 预计收款 | 预计付款 | 净额 | 期末余额 | 缺口 |
|------|----------|----------|------|----------|------|
[月份1] | [XXX万] | [XXX万] | [±XXX万] | [XXX万] | [无/XXX万]
[月份2] | [XXX万] | [XXX万] | [±XXX万] | [XXX万] | [无/XXX万]
[月份3] | [XXX万] | [XXX万] | [±XXX万] | [XXX万] | [无/XXX万]
...
[期末] | [XXX万] | [XXX万] | [±XXX万] | [XXX万] | [无/XXX万]
收入预测假设:
□ 销售回款预测准确率:[X]%
□ 季节性因素:[描述]
□ 乐观情景([+X%]):
- 收款增加 [XXX万]
□ 基准情景:
- 收款 [XXX万]
□ 悲观情景([-X%]):
- 收款减少 [XXX万]
支出预测假设:
□ 刚性支出:[XXX万]/月(工资+税费+到期贷款)
□ 可变支出:[XXX万]/月(采购+费用)
□ 资本支出:[XXX万]([月份X])
□ 支出增加风险:
- [支出项A]:[XXX万] — 可能性 [高/中/低]
第四步:缺口识别与预警
缺口分析:
□ 短期([X] 天)缺口:
- 缺口时间点:[YYYY-MM-DD]
- 缺口金额:[XXX万]
- 缺口持续:[X] 天
□ 中期([X] 月)缺口:
- 最大缺口月份:[月份X]
- 最大缺口金额:[XXX万]
- 缺口原因:[描述]
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 · 292 lines · 108 tokens per session scan A f52d632c0a88
fund-forecast is a skill published in the GitHub repository vivy-yi/finance-skills (29 stars, last pushed 3mo ago), licensed MIT. It adds 108 tokens to every session and 2,542 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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