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 bank-relationship-managementgit 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/bank-relationship-management)<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/bank-relationship-management"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/bank-relationship-management/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/bank-relationship-management"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/bank-relationship-management.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 | $0.00084 | $0.02019 |
| Opus 5 | $0.00042 | $0.01009 |
| Sonnet 5 | $0.00017 | $0.00404 |
| Haiku 4.5 | $0.00008 | $0.00202 |
Grade A, and why
bank-relationship-management 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- bank-relationship-assessment — 89% identical, 204 lines differ
How it starts
The opening of the file, as written. The whole thing — 224 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(银行名单/授信标准/关系目标)。
/bank-relationship-assessment — 银行关系评估
Examples
→ 示例:用户说"三家银行都给授信了,帮我分析一下各家的条件和条款差异",系统应调用本技能,执行银行授信条款对比分析。
→ 示例:用户说"主要合作银行的关系维护,季度报告要发给银行看,帮我准备",系统应调用本技能,生成银行关系季度报告。
→ 示例:用户说"我们想增加一家银行作为主合作行,有哪些考量维度",系统应调用本技能,制定银行关系战略评估框架。
第一步:授信额度分析
授信概览:
□ 总授信额度:[X] 万
□ 已使用额度:[X] 万
□ 可用额度:[X] 万
□ 使用率:[X]%(已用 / 总授信)
□ 各银行授信明细:
| 银行 | 授信额度 | 已用 | 可用 | 使用率 | 评级 |
|------|---------|------|------|--------|------|
| [银行A] | [X]万 | [X]万 | [X]万 | [X]% | [AAA/AA] |
| [银行B] | [X]万 | [X]万 | [X]万 | [X]% | [AAA/AA] |
授信使用分析:
□ 授信使用率健康度:[✅ 良好 / ⚠️ 偏高 / 🔴 过高]
→ 合理范围:[X-X]%
→ 当前使用率:[X]%
□ 闲置授信:[X] 万(使用率 < [X]%)
→ 是否应压缩:[是/否 — 理由]
第二步:利率水平评估
利率对比分析:
□ 各银行利率:
| 银行 | 贷款类型 | 金额 | 利率 | 到期日 |
|------|---------|------|------|--------|
| [银行A] | [短期流贷] | [X]万 | [X]% | [YYYY] |
| [银行B] | [长期固贷] | [X]万 | [X]% | [YYYY] |
□ 加权平均利率:[X]%
□ vs 市场利率:[高于/低于/持平] 市场 [X] bps
□ 主要溢价/折价原因:[描述]
利率竞争力评估:
□ 最优利率银行:[银行A]([X]%)
□ 利率偏高银行:[银行B]([X]%)
□ 建议优化:[描述]
第三步:关系健康度评分
评分维度:
□ 业务量维度([X]%):
→ 评分:[1-10]
→ 理由:[描述]
□ 利率竞争力([X]%):
→ 评分:[1-10]
→ 理由:[描述]
□ 服务响应速度([X]%):
→ 评分:[1-10]
→ 理由:[描述]
□ 创新产品支持([X]%):
→ 评分:[1-10]
→ 理由:[描述]
□ 长期合作意愿([X]%):
→ 评分:[1-10]
→ 理由:[描述]
综合评分:
| 银行 | 业务量 | 利率 | 响应 | 创新 | 意愿 | 加权总分 |
|------|--------|------|------|------|------|---------|
| [银行A] | [8] | [7] | [9] | [6] | [8] | [7.X] |
| [银行B] | [7] | [8] | [7] | [7] | [7] | [7.X] |
□ 关系健康度评级:
→ 8.0-10:🟢 优秀
→ 6.0-7.9:🟡 良好
→ 4.0-5.9:🟠 一般
→ < 4.0:🔴 需改进
第四步:关系维护策略
策略建议:
□ 核心合作银行([X]-2 家):
→ 目标:[深化合作,扩大授信]
→ 策略:[高层互访/联合产品/跨境联动]
→ 预期:[增加授信 X 万 / 降低利率 X bps]
□ 重点维护银行([X] 家):
→ 目标:[保持现有关系,争取更多支持]
→ 策略:[定期沟通/业务倾斜/活动参与]
→ 预期:[维持现状,争取合作机会]
□ 一般关系银行([X] 家):
→ 目标:[维持基本关系,控制资源占用]
→ 策略:[简化维护投入,探索退出可能]
→ 预期:[维持基本服务]
第五步:风险评估
关系风险识别:
□ 集中度风险:
→ 对单一银行依赖度:[银行A [X]%]
→ 风险评级:[高/中/低]
→ 建议:[增加备选银行]
□ 再融资风险:
→ 即将到期贷款:[X] 万(未来 [X] 月)
→ 到期续作确定性:[高/中/低]
→ 主要风险银行:[描述]
□ 关系恶化信号:
→ 信号 1:[描述]
→ 信号 2:[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.
- 12d ago First seen · 224 lines · 84 tokens per session scan A cb9dca94fc58
bank-relationship-management is a skill published in the GitHub repository vivy-yi/finance-skills (29 stars, last pushed 3mo ago), licensed MIT. It adds 84 tokens to every session and 2,019 once invoked, about $0.0004 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 2026-08-30.
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