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 covenant-compliance-monitoringgit 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/covenant-compliance-monitoring)<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/covenant-compliance-monitoring"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/covenant-compliance-monitoring/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/covenant-compliance-monitoring"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/covenant-compliance-monitoring.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 | $0.02194 |
| Opus 5 | $0.00054 | $0.01097 |
| Sonnet 5 | $0.00022 | $0.00439 |
| Haiku 4.5 | $0.00011 | $0.00219 |
Grade A, and why
covenant-compliance-monitoring 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 — 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( covenant 定义/监控频率/预警阈值)。
/covenant-compliance-monitoring — Covenant 合规监控
Examples
→ 示例:用户说"我们的银行贷款有杠杆率 covenant,每个季度需要确认一次合规吗",系统应调用本技能,执行贷款 covenant 合规性检查。
→ 示例:用户说"最近的 EBITDA 下降可能会触发债务契约,需要提前预警",系统应调用本技能,执行 covenant 触发风险评估。
→ 示例:用户说"债务契约里有一条限制性分红条款,帮我解释一下对我们股东回报的影响",系统应调用本技能,解读 covenant 限制条款的影响。
第一步:Covenant 清单提取
Covenant 概览:
□ 监控债务工具:[X] 个([X] 个贷款 + [X] 个债券)
□ Covenant 总数:[X] 条
□ 本期须监控:[X] 条
□ Covenant 分类:
→ 财务 Covenant(Financial Covenants):[X] 条
→ 信息披露 Covenant(Reporting Covenants):[X] 条
→ 运营 Covenant(General Covenants):[X] 条
财务 Covenant 明细:
| # | 债务工具 | Covenant 类型 | 描述 | 阈值 | 当前值 | 状态 |
|---|---------|------------|------|------|--------|------|
| 1 | [贷款A] | [杠杆率] | D/EBITDA ≤ [X]x | [X]x | [X]x | [✅/⚠️/🔴] |
| 2 | [贷款A] | [利息保障] | Interest coverage ≥ [X]x | [X]x | [X]x | [✅/⚠️/🔴] |
| 3 | [债券B] | [流动性] | Current ratio ≥ [X]x | [X]x | [X]x | [✅/⚠️/🔴] |
第二步:当前合规状态评估
财务 Covenant 计算:
□ Covenant 1:[D/EBITDA]
→ 分子(总债务):[X] 万
→ 分母(EBITDA):[X] 万
→ 比值:[X]x
→ 阈值:≤ [X]x
→ 缓冲空间:[X]x(阈值 - 当前值)
→ 状态:[✅ 符合(缓冲 [X]x)/ ⚠️ 接近(缓冲 < [X]x)/ 🔴 违反]
□ Covenant 2:[Interest Coverage]
→ EBITDA:[X] 万
→ 利息支出:[X] 万
→ 比值:[X]x
→ 阈值:≥ [X]x
→ 缓冲空间:[X]x
→ 状态:[✅/⚠️/🔴]
合规结论:
□ 当前合规:[✅ 全部符合 / ⚠️ X 条接近临界 / 🔴 X 条违反]
□ 最高风险 Covenant:[名称](缓冲最小:[X]x)
第三步:未来合规预测
预测期间:[X] 个季度
□ 预测假设:
→ 收入增速:[X]%(季度)
→ EBITDA 率:[X]%(假设不变)
→ 债务变化:[无新增/计划新增 X 万]
→ 利息变化:[假设描述]
□ 未来 [X] 期合规预测:
| 期间 | Covenant 1 (D/EBITDA) | Covenant 2 (Int. Cov.) |
|------|----------------------|------------------------|
| [Q1 YYYY] | [X]x [✅/⚠️/🔴] | [X]x [✅/⚠️/🔴] |
| [Q2 YYYY] | [X]x [✅/⚠️/🔴] | [X]x [✅/⚠️/🔴] |
| [Q3 YYYY] | [X]x [✅/⚠️/🔴] | [X]x [✅/⚠️/🔴] |
□ 首次违约风险时间点(如有):
→ 预计最早违约:[Q YYYY]
→ 涉及 Covenant:[名称]
→ 触发原因:[描述]
第四步:风险评估
风险分级:
□ 🔴 高风险(任意一项):
→ 当前值已违反 Covenant
→ 未来 [X] 期内预测将违反且无改善趋势
□ 🟡 中风险:
→ 缓冲空间 < [X]%(如 < 10%)
→ 未来 [X] 期内预测将违反,但有改善可能
□ 🟢 低风险:
→ 缓冲空间充足(> [X]%)
→ 未来 [X] 期内无违约风险
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 · 224 lines · 108 tokens per session scan A 58459207a880
covenant-compliance-monitoring 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 2,194 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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