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 yennanliu/InvestSkill --skill financial-report-analystgit clone --depth 1 https://github.com/yennanliu/InvestSkillWrote 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/yennanliu/investskill/financial-report-analyst)<a href="https://agentmods.dev/skills/yennanliu/investskill/financial-report-analyst"><img src="https://agentmods.dev/badge/skills/yennanliu/investskill/financial-report-analyst/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/yennanliu/investskill/financial-report-analyst"><img src="https://agentmods.dev/badge/skills/yennanliu/investskill/financial-report-analyst.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 | $0.00020 | $0.04360 |
| Opus 5 | $0.00010 | $0.02180 |
| Sonnet 5 | $0.00004 | $0.00872 |
| Haiku 4.5 | $0.00002 | $0.00436 |
Grade A, and why
financial-report-analyst 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 10d 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 — 513 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Financial Report Analyst
⚠️ Data Verification — Do This Before Any Analysis
Before running any analysis, always retrieve the latest market data for the ticker:
- Fetch current price — use web search or ask the user for the live price, 52-week range, and market cap. Never assume a price from training data.
- Confirm key figures — recent earnings, revenue, key ratios (P/E, P/S, etc.) as applicable to this skill.
- State your data source — note where the numbers came from (e.g., "Google Finance, June 19 2026") at the top of the output.
- Flag stale data explicitly — if live data is unavailable, display this warning before proceeding:
⚠️ Live data unavailable. The following analysis uses training-data estimates which may be significantly out of date. Verify all prices and metrics before making any decisions.
Never silently substitute training-data estimates for current prices. When in doubt, ask the user to paste the latest quote.
Extract deep investment insights from official company financial filings and reports — 10-K annual reports, 10-Q quarterly reports, earnings press releases, proxy statements (DEF 14A), and investor presentations. Combines quantitative financial analysis with qualitative assessment of management tone, strategy, and risk disclosure.
Overview
Official filings are the primary source of truth for company analysis. Unlike financial data terminals (which aggregate selected metrics), the actual 10-K and 10-Q contain management's own words, full footnote disclosures, legal risk factors, and accounting policy choices that are invisible in summary data feeds. This skill teaches you to read between the lines of official documents and convert dense regulatory language into actionable investment insights.
How to Use
Provide the report in one of these ways:
# Paste report text directly
/financial-report-analyst [paste 10-K or 10-Q sections]
# Reference a specific ticker for the most recent filing
/financial-report-analyst AAPL 10-K
# Analyze a specific section
/financial-report-analyst MSFT 10-Q --section risk-factors
# Full deep-dive analysis
/financial-report-analyst NVDA 10-K --full
# Comparative: compare current vs prior period filing
/financial-report-analyst GOOGL --compare-prior
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.
- 10d ago First seen · 513 lines · 20 tokens per session scan A 1f65fef25bae
financial-report-analyst is a skill published in the GitHub repository yennanliu/InvestSkill (205 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 4,360 once invoked, about $0.0001 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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