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 duolongworld/AI_Renaissance --skill financial_report_analysisgit clone --depth 1 https://github.com/duolongworld/AI_RenaissanceWrote 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/duolongworld/ai_renaissance/financial_report_analysis)<a href="https://agentmods.dev/skills/duolongworld/ai_renaissance/financial_report_analysis"><img src="https://agentmods.dev/badge/skills/duolongworld/ai_renaissance/financial_report_analysis/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/duolongworld/ai_renaissance/financial_report_analysis"><img src="https://agentmods.dev/badge/skills/duolongworld/ai_renaissance/financial_report_analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00115 | $0.04763 |
| Opus 5 | $0.00057 | $0.02381 |
| Sonnet 5 | $0.00023 | $0.00953 |
| Haiku 4.5 | $0.00012 | $0.00476 |
Grade A, and why
financial-report-analysis 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 11d 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 — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Financial Report Analysis
1. 适用范围
本 Skill 用于把上市公司三张财务报表转化为 AI Renaissance 可消费的财务 Signal。核心目标是判断下一季度净利润同比方向，MVP 指标为 accuracy@confidence>0.7 >= 70%。
适用：消费、制造、科技、平台、重资产、医药等非金融企业。地产、建筑、医药必须执行 Step7 行业特殊口径。银行、保险、券商等强金融属性主体暂不适用，默认输出 direction: neutral 且 needs_human_review: true。
本 Skill 只输出经营质量信号，不输出投资建议，不参与仲裁、仓位、估值或交易判断。
高研发科技公司需先识别业务阶段。半导体 IP、EDA、AI 芯片、创新药、SaaS 等公司如果同时具备高研发投入、营收高增长、合同负债增长、销售收现强、应收未显著跑赢营收等特征，应进入 rd_commercialization 口径。该阶段下，亏损和经营现金流为负不自动构成 high 红旗，应先判断是否属于研发投入向订单兑现过渡期。
2. 输入材料
必填输入：
| 字段 | 要求 |
|---|---|
company_name |
公司名称 |
ticker |
股票代码，可为空但需说明原因 |
period |
报告期，如 2026Q1 |
income_statement |
利润表核心字段 |
balance_sheet |
资产负债表核心字段 |
cash_flow_statement |
现金流量表核心字段 |
source_id |
数据来源标识，由 data_sources/ 提供 |
base_period |
同比或环比对照期 |
可选输入：同行对比、公告、研报、产业链数据、历史多期财务数据。
增强输入（有则进入 meta.additional_checks，无则必须写入 meta.data_gaps，不得假设）：
| 字段 | 用途 |
|---|---|
segments / product_lines |
产品线收入占比、同比/环比、毛利率、新产品线斜率 |
signed_orders / order_backlog |
已签订单和订单储备，用于验证合同负债是否能兑现 |
capacity_expansion_plan / capacity_utilization |
产能扩张计划、产能利用率，验证 capex 和资产扩张质量 |
supplier_long_term_agreements |
供应商长协与保供能力 |
top_customer_concentration / top_supplier_concentration |
前几大客户/供应商集中度 |
related_party_customer_ratio / related_party_supplier_ratio |
关联方交易占比 |
peer_benchmark |
同行标杆分位数，作为后续迭代计划，不作为当前主评分 |
previous_period_data |
上一报告期三表数据，用于资产负债表环比和利润表/现金流单季拆分 |
previous_previous_period_data |
上上报告期三表数据，用于从累计利润表/现金流量表拆出上一季度单季值 |
缺失处理：
- 三表任一缺失：输出
direction: neutral，confidence <= 0.4，needs_human_review: true。 - 关键字段缺失：对应步骤状态为
unknown，不得用行业常识或推测补数。 - 数据口径冲突：优先使用公告原文或数据组封装字段，并在
meta.evidence标记冲突来源。
3. 分析步骤
先做 Step0 红色预警扫描，再按七步链顺序分析。详细公式、阈值和行业适配见 references/。
| 步骤 | 名称 | 目标 |
|---|---|---|
| Step0 | 红色预警扫描 | 先排除财务重述、收入确认变更、商誉风险、资金占用等硬风险 |
| Step1 | 利润质量 | 判断利润是否被现金支撑 |
| Step2 | 现金流匹配 | 验证销售收现、采购付现与利润表是否匹配 |
| Step3 | 需求真实性 | 用应收、存货、合同负债验证需求是否真实 |
| Step4 | 资本开支 | 判断扩产是否有真金白银投入 |
| Step5 | 债务与利率敏感性 | 检查净债务、短债结构和财务费用侵蚀 |
| Step6 | 扩张质量 | 判断资产扩张是否有订单和产能消化支撑 |
| Step7 | 行业特殊口径 | 按行业调整阈值和特殊会计处理 |
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 276 lines · 115 tokens per session scan A c175ad7972af
financial-report-analysis is a skill published in the GitHub repository duolongworld/AI_Renaissance (59 stars, last pushed 14d ago), licensed Apache-2.0. It adds 115 tokens to every session and 4,763 once invoked, about $0.0006 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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