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 defeat-beta/defeatbeta-api --skill defeatbeta-analystgit clone --depth 1 https://github.com/defeat-beta/defeatbeta-apiWrote 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/defeat-beta/defeatbeta-api/defeatbeta-analyst)<a href="https://agentmods.dev/skills/defeat-beta/defeatbeta-api/defeatbeta-analyst"><img src="https://agentmods.dev/badge/skills/defeat-beta/defeatbeta-api/defeatbeta-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/defeat-beta/defeatbeta-api/defeatbeta-analyst"><img src="https://agentmods.dev/badge/skills/defeat-beta/defeatbeta-api/defeatbeta-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 3 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00154 | $0.01499 |
| Opus 5 | $0.00077 | $0.00749 |
| Sonnet 5 | $0.00031 | $0.00300 |
| Haiku 4.5 | $0.00015 | $0.00150 |
Grade A, and why
defeatbeta-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 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Financial Analyst
Professional-grade financial analysis using historical market data and comprehensive financial metrics from the defeatbeta dataset.
Defaults
Unless the user specifies otherwise:
- Always call
get_latest_data_update_datefirst — this is "today" for all relative time queries - Default analysis: When given only a ticker (e.g.,
/defeatbeta-analyst AAPL), run Template 1: Quick Investment Screening - ROIC and Equity Multiplier: Not applicable to banks/financial institutions — check
sectorin profile first - Date format: "YYYY-MM-DD"
- Data limits: Price/valuation APIs return max 1000 rows — use date ranges for large datasets
Template Selection
Choose the template that best matches the user's request. Read analysis-templates.md for the full workflow of any template.
| User request | Template |
|---|---|
| Quick check / "should I look at this stock?" | T1: Quick Investment Screening |
| Full company deep-dive | T2: Full Fundamental Analysis |
| Overvalued / undervalued / P/E / P/B / DCF | T3: Valuation-Focused or T10: DCF Valuation |
| Revenue growth / earnings quality / ROIC | T4: Growth Quality Assessment |
| ROE decomposition / DuPont | T5: DuPont Analysis |
| Margin trends / vs peers | T6: Margin Analysis & Peer Comparison |
| Accruals / FCF quality / working capital | T7: Earnings Quality Assessment |
| Industry positioning | T8: Industry Positioning Analysis |
| Latest earnings release numbers | T9: Quarterly Earnings Analysis |
| "What did management report this quarter?" | T11: Extract Key Financial Data from Earnings Call |
| "What changed vs last quarter/year?" | T12: Financial Metric Changes from Earnings Call |
| "What is management's guidance/outlook?" | T13: Financial Metric Forecasts from Earnings Call |
| "What does this company do?" / business model | T14: Business Understanding |
| Revenue segments / geography breakdown | T15: Revenue Breakdown |
| Industry trends / tailwinds / headwinds | T16: Industry Context |
| Competitors / moat / pricing power | T17: Competitive Landscape |
| Balance sheet strength / debt / FCF quality | T18: Financial Quality |
| Risks / downside / what could go wrong | T19: Risks and Downside |
| Management track record / capital allocation | T20: Management and Execution |
| Bull case / bear case / scenarios | T21: Bull and Bear Scenarios |
| How to value / valuation assumptions | T22: Valuation Framework |
| Long-term thesis / why invest / must go right | T23: Long-Term Investment Thesis |
What ships with it
2 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.
- 9d ago First seen · 98 lines · 154 tokens per session scan A 5024843c42ee
defeatbeta-analyst is a skill published in the GitHub repository defeat-beta/defeatbeta-api (746 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 154 tokens to every session and 1,499 once invoked, about $0.0008 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
eastmoney-stock-valuation
A lookup for daily valuation figures on Chinese A-share stocks, such as price-to-earnings, price-to-book, market value and closing price. It can return one stock, a date range, one trading day, or the whole market.
stock-holder-ften
A stock-market lookup for the ten largest holders of a company's freely tradable shares in Chinese A-shares. It can show historical reports for one stock or the latest report across the market.
stock-share-chg
A record of A-share shareholder increases and decreases in their holdings. It can show the history for one stock or the latest reported change across the market.
tickdb-market-data
A real-time market-data API for foreign exchange, metals, indexes, stocks, and cryptocurrencies. An API is a service that software can call to request data.
cb-base-data
Basic information about one convertible bond, a bond that may be exchanged for shares. It includes items such as the bond name, related stock, conversion price and value, maturity date and issue size.
eastmoney-market-valuation
A tool for retrieving daily valuation data for major Chinese A-share market indexes, such as price-to-earnings ratios, market value, and closing levels.