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 fixed-assets-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/fixed-assets-master)<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/fixed-assets-master"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/fixed-assets-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/fixed-assets-master"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/fixed-assets-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 | $0.00097 | $0.02031 |
| Opus 5 | $0.00048 | $0.01015 |
| Sonnet 5 | $0.00019 | $0.00406 |
| Haiku 4.5 | $0.00010 | $0.00203 |
Grade A, and why
fixed-assets-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 — 247 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(折旧政策/资产分类/审批权限/盘点周期)。
/fixed-assets-master — 固定资产管理主流程
完整固定资产管理流程
Step 1:折旧分析(月度)
→ 执行 depreciation-analysis
→ 确保折旧计提准确
Step 2:资产变动核查
→ 核查本月新增/减少资产
→ 新增资产:执行 asset-acquisition-review
→ 减少资产:执行 asset-disposal-review
Step 3:盘点核查(定期/异常时)
→ 核查账实一致性
→ 盘盈:按 asset-disposal-review(反向)
→ 盘亏:执行 asset-disposal-review
Step 4:减值评估(年度/异常时)
→ 评估减值迹象
→ 计算可收回金额
→ 执行减值处理
Step 5:综合管理报告
→ 汇总 Step 1-4 发现的问题
→ 输出固定资产健康度报告
第一步:折旧分析
执行 Skill: depreciation-analysis
□ 执行状态:[成功/失败/部分成功]
□ 本月折旧:[XXX万]
□ [FA] 与 [ERP] 一致性:[✅ 一致 / ⚠️ 差异 XXX万]
□ 折旧异常:[✅ 无 / ⚠️ [X] 项须检查]
□ 须补提折旧:[✅ 无 / ⚠️ [X] 项须补提]
第二步:资产变动汇总
本月新增资产:
□ 新增:[X] 笔,[XXX万]
□ 已完成购置审核:[✅ 全部 / ⚠️ [X] 项待审核]
□ 新增资产明细:
□ [资产A]:[XXX万] — 审核状态 [✅ 已审核 / ⚠️ 待审核]
□ [资产B]:[XXX万] — 审核状态 [✅ 已审核 / ⚠️ 待审核]
本月减少资产:
□ 减少:[X] 笔,[XXX万]
□ 账面净值合计:[XXX万]
□ 已完成处置审核:[✅ 全部 / ⚠️ [X] 项待审核]
□ 处置类型分布:
□ 出售:[X] 笔,[XXX万]
□ 报废:[X] 笔,[XXX万]
□ 盘亏:[X] 笔,[XXX万]
□ 处置损益:[±XXX万](盈利/亏损/净损失)
第三步:盘点情况(定期核查时)
盘点执行情况:
□ 盘点周期:[年度/半年度/专项]
□ 盘点日期:[YYYY-MM-DD]
□ 应盘资产:[X] 台
□ 已盘资产:[X] 台
□ 盘点完成率:[X%]
□ 账实相符:[X] 台 ✅
□ 盘盈:[X] 台,[XXX万] — 处理状态 [待处理/已处理]
□ 盘亏:[X] 台,[XXX万] — 处理状态 [待处理/已处理]
□ 待核实:[X] 台
第四步:减值评估
减值迹象检查:
□ 减值迹象存在:[是/否]
□ 存在减值的资产:
□ [资产A]:[账面价值 XXX万] — 减值迹象 [技术落后/闲置/损坏]
□ [资产B]:[账面价值 XXX万] — 减值迹象 [市价下跌]
□ 本期计提减值:[XXX万]
□ 期末减值准备余额:[XXX万]
第五步:生成固定资产综合管理报告
═══════════════════════════════════════
固定资产管理报告
报告周期:[月度/年度]
截止日期:[YYYY-MM-DD]
报告日期:[YYYY-MM-DD]
═══════════════════════════════════════
【核心结论】
固定资产健康度:[✅ 良好 / ⚠️ 需关注 / 🔴 存在风险]
□ 折旧状况:[一句话总结]
□ 资产变动:[一句话总结]
□ 主要风险:[一句话总结]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
【一、固定资产概览】
□ 固定资产原值:[XXX万]
□ 累计折旧:[XXX万]
□ 减值准备:[XXX万]
□ 账面价值:[XXX万]
□ 资产数量:[X] 台/套
□ 分类分布:
□ 土地及建筑物:[XXX万]([X%])
□ 机器设备:[XXX万]([X%])
□ 运输设备:[XXX万]([X%])
□ 电子设备:[XXX万]([X%])
□ 其他:[XXX万]([X%])
【二、折旧情况】
□ 本月折旧:[XXX万]
□ 本年累计折旧:[XXX万]
□ [FA] 与 [ERP] 一致性:[✅ 一致 / ⚠️ 差异 XXX万]
□ 折旧异常项:[✅ 无 / ⚠️ X 项须处理]
□ 须补提折旧:[✅ 无 / ⚠️ X 项须补提]
【三、资产变动情况】
□ 本月新增:
□ 新增 [X] 笔:[XXX万]
□ 审核状态:[✅ 全部已审核 / ⚠️ X 项待审核]
□ 本月减少:
□ 减少 [X] 笔:[XXX万]
□ 账面净值合计:[XXX万]
□ 处置损益:[±XXX万]
□ 审核状态:[✅ 全部已审核 / ⚠️ X 项待审核]
【四、盘点情况(如已执行)】
□ 盘点日期:[YYYY-MM-DD]
□ 盘点完成率:[X%]
□ 账实相符:[X] 台 ✅
□ 盘盈:[X] 台,[XXX万] — [✅ 已处理 / ⚠️ 待处理]
□ 盘亏:[X] 台,[XXX万] — [✅ 已处理 / ⚠️ 待处理]
【五、减值情况】
□ 减值迹象:[✅ 无 / ⚠️ X 项存在]
□ 本期计提减值:[XXX万]
□ 期末减值准备:[XXX万]
□ 主要减值资产:
□ [资产A]:[减值 XXX万] — 原因 [技术落后]
□ [资产B]:[减值 XXX万] — 原因 [闲置]
【六、综合风险评估】
□ 折旧风险:[✅ 低 / ⚠️ 中 / 🔴 高]
□ 变动合规风险:[✅ 低 / ⚠️ 中 / 🔴 高]
□ 账实相符风险:[✅ 低 / ⚠️ 中 / 🔴 高]
□ 减值风险:[✅ 低 / ⚠️ 中 / 🔴 高]
□ 整体健康度:[✅ 良好 / ⚠️ 需关注 / 🔴 存在风险]
【七、待处理事项】
□ 高优先级:
□ [待办A] — [描述] — 责任人 [X] — 完成日期 [YYYY-MM-DD]
□ [待办B] — [描述] — 责任人 [X] — 完成日期 [YYYY-MM-DD]
□ 中优先级:
□ [待办C] — [描述] — 责任人 [X] — 完成日期 [YYYY-MM-DD]
【八、下期关注事项】
□ [关注事项1]
□ [关注事项2]
═══════════════════════════════════════
编制人:[资产管理员/财务经理]
审核人:[财务经理/CFO]
═══════════════════════════════════════
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 · 247 lines · 97 tokens per session scan A 5a04ae936dbd
fixed-assets-master is a skill published in the GitHub repository vivy-yi/finance-skills (29 stars, last pushed 3mo ago), licensed MIT. It adds 97 tokens to every session and 2,031 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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