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 treasury-management-mastergit 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/treasury-management-master)<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/treasury-management-master"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/treasury-management-master/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/treasury-management-master"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/treasury-management-master.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 | $0.00090 | $0.02162 |
| Opus 5 | $0.00045 | $0.01081 |
| Sonnet 5 | $0.00018 | $0.00432 |
| Haiku 4.5 | $0.00009 | $0.00216 |
Grade A, and why
treasury-management-master 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 — 268 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(账户清单/预警阈值/审批权限)。
/treasury-management-master — 资金管理主流程
完整资金管理流程
Step 1:资金日报(每日监控)
→ 执行 daily-cash-position
→ 核查账户余额 + 数据一致性 + 异常识别
Step 2:资金预测(周度分析)
→ 执行 fund-forecast
→ 预测短期/中期资金缺口
Step 3:付款授权审核(实时/定期)
→ 执行 payment-authorization-review
→ 审核大额/异常付款
Step 4:综合风险评估
→ 综合 Step 1-3 发现的问题
→ 评估整体资金风险
Step 5:融资/应对规划
→ 制定缺口应对方案
→ 规划授信使用
→ 输出待办清单
第一步:资金日报
执行 Skill: daily-cash-position
□ 执行状态:[成功/失败/部分成功]
□ 合计余额:[XXX万]
□ vs 昨日变化:[±XXX万]([±X%])
□ 数据一致性:[✅ 正常 / ⚠️ [X] 项差异]
□ 余额异常:[✅ 无 / ⚠️ [X] 项关注 / 🔴 [X] 项紧急]
□ 付款异常:[✅ 无 / ⚠️ [X] 项待核实]
第二步:资金预测
执行 Skill: fund-forecast
□ 执行状态:[成功/失败/部分成功]
□ 短期([X] 天)预测:
- 预计净流入:[±XXX万]
- 预计期末余额:[XXX万]
- 缺口风险:[✅ 无 / ⚠️ 中 / 🔴 高]
□ 中期([X] 月)预测:
- 预计净流入:[±XXX万]
- 预计期末余额:[XXX万]
- 最大缺口月份:[月份]
- 缺口金额:[XXX万]
□ 敏感性分析:
- 乐观情景:[XXX万](无缺口)
- 基准情景:[XXX万]([有/无]缺口)
- 悲观情景:[XXX万]([有/无]缺口)
第三步:付款授权审核汇总
执行 Skill: payment-authorization-review
□ 本期审核付款:[X] 笔,[XXX万]
□ 授权执行:[X] 笔,[XXX万]
□ 附条件授权:[X] 笔,[XXX万]
□ 暂停付款:[X] 笔,[XXX万]
□ 拒绝付款:[X] 笔,[XXX万]
□ 风险项:
□ 高风险付款:[X] 项
□ 新供应商首次合作:[X] 项
□ 预付比例偏高:[X] 项
□ 须额外关注:[X] 项
第四步:综合风险评估
跨维度综合分析:
整体资金风险等级:[✅低 / ⚠️中 / 🔴高]
日度风险:
□ 账户余额:[✅ 正常 / ⚠️ 偏紧 / 🔴 紧张]
□ 数据一致性:[✅ 正常 / ⚠️ 有差异]
□ 异常识别:[✅ 无 / ⚠️ [X] 项关注]
周度风险:
□ 短期缺口:[✅ 无 / ⚠️ 中风险 / 🔴 高风险]
□ 中期缺口:[✅ 无 / ⚠️ 中风险 / 🔴 高风险]
付款风险:
□ 大额付款:[✅ 正常 / ⚠️ [X] 项风险]
□ 异常付款:[✅ 无 / ⚠️ [X] 项]
综合诊断:
□ 🔴 高风险项:[描述] — 须立即处理
□ ⚠️ 关注项:[描述] — 须跟进
□ ✅ 正常项:[描述] — 保持监控
第五步:生成资金管理综合报告
═══════════════════════════════════════
资金管理报告
报告周期:[每日/每周/每月]
截止日期:[YYYY-MM-DD]
报告日期:[YYYY-MM-DD]
═══════════════════════════════════════
【核心结论】
整体资金风险等级:[✅低 / ⚠️中 / 🔴高]
□ 资金状况:[一句话总结]
□ 主要风险:[一句话总结]
□ 须关注:[一句话总结]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
【一、资金余额概览】
□ 合计余额:[XXX万]
□ vs 上期:[±XXX万]([±X%])
□ 日均余额:[XXX万]
□ 各账户余额:
□ [账户A]:[XXX万]([占比])
□ [账户B]:[XXX万]([占比])
□ [账户C]:[XXX万]([占比])
【二、资金预测概览】
□ 短期([X] 天):
□ 预计收款:[XXX万]
□ 预计付款:[XXX万]
□ 预计净流入:[±XXX万]
□ 期末余额:[XXX万]
□ 缺口风险:[✅ 无 / ⚠️ 中 / 🔴 高]
□ 中期([X] 月):
□ 预计净流入:[±XXX万]
□ 期末余额:[XXX万]
□ 最大缺口:[XXX万]([月份])
□ 缺口风险:[✅ 无 / ⚠️ 中 / 🔴 高]
【三、付款授权审核汇总】
□ 本期审核付款:[X] 笔,[XXX万]
授权情况:
□ ✅ 授权执行:[X] 笔,[XXX万]
□ ⚠️ 附条件授权:[X] 笔,[XXX万]
□ 🔴 暂停付款:[X] 笔,[XXX万]
□ 🔴 拒绝付款:[X] 笔,[XXX万]
主要风险项:
□ [风险项A]:[描述] — [已处理/处理中]
□ [风险项B]:[描述] — [已处理/处理中]
【四、综合风险评估】
□ 日度风险:[✅ 低 / ⚠️ 中 / 🔴 高]
□ 周度风险:[✅ 低 / ⚠️ 中 / 🔴 高]
□ 付款风险:[✅ 低 / ⚠️ 中 / 🔴 高]
□ 整体风险等级:[✅低 / ⚠️中 / 🔴高]
【五、授信使用情况】
□ 授信总额:[XXX万]
□ 已使用:[XXX万]([X%])
□ 可用:[XXX万]([X%])
□ 授信健康度:[✅ 充足 / ⚠️ 偏紧 / 🔴 紧张]
□ 即将到期授信:[X] 万([日期])
【六、待办事项】
□ 高优先级([X] 天内):
□ [待办A] — 责任人 [X] — 完成日期 [YYYY-MM-DD]
□ [待办B] — 责任人 [X] — 完成日期 [YYYY-MM-DD]
□ 中优先级(本周内):
□ [待办C] — 责任人 [X] — 完成日期 [YYYY-MM-DD]
□ 持续跟进:
□ [待办D] — 责任人 [X] — 完成日期 [YYYY-MM-DD]
【七、下期预测与关注节点】
□ 下期预计余额:[XXX万]
□ 关注节点:[日期A] — 预计余额 [XXX万] — 须关注 [原因]
□ 关注节点:[日期B] — 预计余额 [XXX万] — 须关注 [原因]
═══════════════════════════════════════
编制人:[资金专员/资金经理]
审核人:[资金总监]
批准人:[CFO — 根据风险等级]
═══════════════════════════════════════
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 · 268 lines · 90 tokens per session scan A 74273fe25708
treasury-management-master is a skill published in the GitHub repository vivy-yi/finance-skills (29 stars, last pushed 3mo ago), licensed MIT. It adds 90 tokens to every session and 2,162 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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