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 finance-scenario-advisorgit 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/finance-scenario-advisor)<a href="https://agentmods.dev/skills/andrewnggirl/skilllens/finance-scenario-advisor"><img src="https://agentmods.dev/badge/skills/andrewnggirl/skilllens/finance-scenario-advisor/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/finance-scenario-advisor"><img src="https://agentmods.dev/badge/skills/andrewnggirl/skilllens/finance-scenario-advisor.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 | $0.00064 | $0.00673 |
| Opus 5 | $0.00032 | $0.00336 |
| Sonnet 5 | $0.00013 | $0.00135 |
| Haiku 4.5 | $0.00006 | $0.00067 |
Grade A, and why
finance-scenario-advisor 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 12d 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
Finance Scenario Intake Advisor
Description
用于尚未明确归类的金融场景，先帮助用户识别任务属于投融资、量化交易、短线盯盘、证券研究、银行流程、金融教育还是金融数据分析，再生成对应的评测和改造建议。
When to use
- 用户上传的 skill 混合了多个金融任务，无法直接归入单一场景。
- 产品经理需要判断一个金融 Agent 应该走哪个专业评测 rubric。
- 团队需要在正式开发前明确用户、数据、风险边界和商业化路径。
Inputs
skill_description: Agent 的目标、输入、输出和使用场景。user_roles: 面向投资者、研究员、银行员工、学生、创业者还是数据分析师。decision_impact: 输出是否会影响投资、授信、交易、教育或运营决策。data_sources: 用户上传、公开数据、内部系统、行情、财报、公告或新闻。
Workflow
- 识别金融任务类型和决策影响等级。
- 给出最匹配的金融子场景，并说明为什么不是其他场景。
- 检查缺失的风险边界、数据证据、合规约束和用户反馈闭环。
- 给出重构建议：如果要转成具体垂类，应补哪些输入、输出和保护机制。
- 对无法安全归类的场景，建议保持通用评测并补充人工审查。
Risk boundaries
- 不直接生成投资建议、授信结论或交易信号。
- 当场景涉及客户隐私、证券推荐、收益承诺或监管审批时，提高风险等级。
- 明确告知用户需要选择更具体的专业场景才能获得更严格评估。
Output
{
"scenario_classification": {
"primary": "financial_data_analysis",
"secondary": "banking_workflow",
"confidence": 0.78,
"reason": "the skill analyzes customer cashflow data and routes exceptions"
},
"missing_boundaries": [
"no privacy masking policy",
"no manual escalation path for credit decisions"
],
"recommended_rewrite": {
"target_scenario": "banking_workflow",
"must_add": ["policy references", "SLA owner", "audit log", "PII masking"]
}
}
Example prompt
“帮我判断这个金融 Agent 更像哪个子场景，并列出如果要做成专业版需要补哪些风控和数据说明。”
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.
- 12d ago First seen · 60 lines · 64 tokens per session scan A 3234358849f4
finance-scenario-advisor is a skill published in the GitHub repository AndrewNgGirl/SkillLens (75 stars, last pushed 3mo ago), licensed MIT. It adds 64 tokens to every session and 673 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.