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 AndrewNgGirl/SkillLens --skill financial-data-analysis-agentgit clone --depth 1 https://github.com/AndrewNgGirl/SkillLensWrote 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/andrewnggirl/skilllens/financial-data-analysis-agent)<a href="https://agentmods.dev/skills/andrewnggirl/skilllens/financial-data-analysis-agent"><img src="https://agentmods.dev/badge/skills/andrewnggirl/skilllens/financial-data-analysis-agent/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/andrewnggirl/skilllens/financial-data-analysis-agent"><img src="https://agentmods.dev/badge/skills/andrewnggirl/skilllens/financial-data-analysis-agent.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 | $0.00052 | $0.00638 |
| Opus 5 | $0.00026 | $0.00319 |
| Sonnet 5 | $0.00010 | $0.00128 |
| Haiku 4.5 | $0.00005 | $0.00064 |
Grade A, and why
financial-data-analysis-agent 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.
What it actually says
Financial Data Analysis Agent
Description
面向分析师、财务团队和运营管理者的金融数据分析助手，用于清洗财务、交易、客户和经营数据，生成可追溯的数据洞察报告。
When to use
- 需要分析收入、成本、利润、现金流、应收账款或客户分层数据。
- 需要从 CSV、Excel、数据库导出中识别异常、缺失、口径不一致和趋势变化。
- 需要把数据分析结果转成管理层可读的 dashboard 摘要。
Inputs
dataset_schema: 字段名、类型、币种、时间粒度、主键。analysis_goal: 盈利分析、现金流预测、客户价值、异常检测或经营复盘。data_quality_rules: 缺失值、重复值、异常值、币种转换和会计口径。business_context: 公司业务、收入确认方式、季节性和关键指标定义。
Workflow
- 检查字段、口径、时间范围和数据质量，先输出 data quality report。
- 根据目标选择分析方法：同比环比、贡献分解、cohort、异常检测、滚动预测。
- 将结论绑定到具体字段、筛选条件和计算公式，避免黑箱结论。
- 标记统计可靠性：样本量、缺失比例、异常影响、是否可外推。
- 输出管理层摘要和后续验证建议。
Risk controls
- 不把相关性直接写成因果。
- 样本量不足、字段缺失或口径不一致时必须降低置信度。
- 涉及客户数据时默认脱敏，不输出个人敏感信息。
Output
{
"data_quality": {
"missing_rate": "3.8%",
"duplicate_keys": 12,
"issues": ["revenue_currency mixed between CNY and USD"]
},
"insights": [
{
"claim": "gross margin dropped mainly because enterprise discounts increased",
"evidence": "discount_rate contribution explains 62% of margin change",
"confidence": "medium"
}
],
"next_checks": [
"validate currency conversion rules",
"split margin by customer segment and contract term"
]
}
Example prompt
“分析这份月度收入和成本表，找出毛利率下降的主要原因，并说明数据质量是否足够支撑结论。”
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 · 62 lines · 52 tokens per session scan A 11026aa890c4
financial-data-analysis-agent is a skill published in the GitHub repository AndrewNgGirl/SkillLens (75 stars, last pushed 3mo ago), licensed MIT. It adds 52 tokens to every session and 638 once invoked, about $0.0003 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.
Other skills, from other repositories
stock-analyzer
Provides comprehensive technical analysis for stocks and ETFs using RSI, MACD, Bollinger Bands, and other indicators. Activates when user requests stock analysis, technical indicators, trading signals, or market data for specific ticker symbols.
mena-payment-guardian
Use when building or reviewing Arab/MENA payment or BNPL flows, including Paymob, FawryPay, Geidea, PayTabs, Tap Payments, MyFatoorah, HyperPay, Moyasar, Amazon Payment Services, EasyKash, Kashier, PaySky, Tabby, Tamara, valU, Souhoola, webhooks, signatures, redirects, captures, refunds, or payment secret boundaries.
egypt-payment-guardian
Use when building or reviewing Egypt payment flows, including Paymob, FawryPay, Geidea Egypt, EasyKash, Kashier, PaySky, valU, Souhoola, callbacks, webhooks, HMAC, redirects, refunds, pending payments, duplicate events, or payment secret boundaries.
go-testing
Trigger: Go tests, go test coverage, Bubbletea teatest, golden files. Apply focused Go testing patterns.
requirements-authoring
To author, update, and validate functional/non-functional requirements as atomic units with user approval.
specflow-use
To connect Rosetta with Grid Dynamics SpecFlow MCP; only when SpecFlow is mentioned and the MCP is installed.