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-assessmentgit 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-assessment)<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/bank-relationship-assessment"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/bank-relationship-assessment/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-assessment"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/bank-relationship-assessment.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 | $0.00088 | $0.02095 |
| Opus 5 | $0.00044 | $0.01047 |
| Sonnet 5 | $0.00018 | $0.00419 |
| Haiku 4.5 | $0.00009 | $0.00210 |
Grade A, and why
bank-relationship-assessment 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 8d 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.
This is a copy
89% identical to bank-relationship-management — 204 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 236 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/关系目标/评估标准)。
/bank-relationship-assessment — 银行关系评估
Examples
→ 示例:用户说"我们有好几家合作银行,帮我评估一下各家的服务质量",系统应调用本技能,评估银行关系质量。
→ 示例:用户说"要增加一家外资银行作为主账户行,帮我评估一下",系统应调用本技能,评估外资银行主账户行资质。
→ 示例:用户说"帮我们分析一下银行授信额度的使用情况,哪些用多了哪些没用",系统应调用本技能,分析银行授信使用效率。
第一步:授信与业务分析
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]%
□ 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] |
| [银行B] | [X]万 | [X]万 | [X]万 | [X]% | [AA] |
银行业务分析:
□ 业务量分布:
→ [银行A]:[X]% 业务量
→ [银行B]:[X]% 业务量
→ [其他银行]:[X]% 业务量
□ 主要业务类型:
→ 贷款:[X] 万([银行A/B/C])
→ 票据:[X] 万
→ 供应链金融:[X] 万
→ 外汇:[X] 万
第二步:利率与服务评估
利率水平评估:
□ 各银行利率对比:
| 银行 | 贷款类型 | 金额 | 利率 | 市场对比 |
|------|---------|------|------|---------|
| [银行A] | 流贷 | [X]万 | [X]% | [高于/低于/持平] |
| [银行B] | 流贷 | [X]万 | [X]% | [高于/低于/持平] |
□ 加权平均利率:[X]%
□ vs 市场利率:[高于/低于 X bps]
□ 最优银行:[银行A](利率 [X]%)
□ 最需优化:[银行B](利率 [X]%)
服务质量评估:
□ 响应速度评分(1-10):
→ [银行A]:[X] 分 — 评估 [描述]
→ [银行B]:[X] 分 — 评估 [描述]
□ 产品创新能力:
→ [银行A]:[X] 分 — 评估 [描述]
→ [银行B]:[X] 分 — 评估 [描述]
□ 问题解决能力:
→ [银行A]:[X] 分 — 评估 [描述]
→ [银行B]:[X] 分 — 评估 [描述]
第三步:关系健康度评分
综合评分(加权):
□ 评分维度权重:
→ 业务量占比:[X]%
→ 利率竞争力:[X]%
→ 响应速度:[X]%
→ 产品创新:[X]%
→ 长期合作意愿:[X]%
□ 综合评分:
| 银行 | 业务量 | 利率 | 响应 | 创新 | 合作 | 加权总分 |
|------|--------|------|------|------|------|---------|
| [银行A] | [8] | [7] | [9] | [6] | [8] | [7.X] |
| [银行B] | [7] | [6] | [7] | [7] | [7] | [6.9] |
□ 评级标准:
→ 8.0-10:🟢 优秀
→ 6.0-7.9:🟡 良好
→ 4.0-5.9:🟠 一般
→ < 4.0:🔴 需改进
关系策略定位:
□ 核心合作银行([X]-1 家,评分 8.0+):
→ [银行A]:深化合作,争取更多授信和优惠
□ 重点维护银行([X] 家,评分 6.0-7.9):
→ [银行B]:保持关系,争取条件改善
□ 一般关系银行(评分 < 6.0):
→ [银行C]:控制资源占用,探索退出可能
第四步:策略建议
核心合作银行策略:
□ [银行A] — 核心合作
→ 策略:[深化合作,扩大授信,争取优惠利率]
→ 具体措施:
· 高层互访:每季度 [X] 次
· 联合产品:[供应链金融/跨境金融]
· 业务倾斜:优先使用该行服务
→ 预期效果:
· 授信增加 [X] 万
· 利率降低 [X] bps
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.
- 8d ago First seen · 236 lines · 88 tokens per session scan A 53c656d96118
bank-relationship-assessment is a skill published in the GitHub repository vivy-yi/finance-skills (29 stars, last pushed 3mo ago), licensed MIT. It adds 88 tokens to every session and 2,095 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to bank-relationship-management, differing in 204 lines, and is treated as a copy.
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