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 agentmods add skills/spytensor/openmozi/financial-analysisnpx skills add spytensor/openmozi --skill financial-analysisgit clone --depth 1 https://github.com/spytensor/openmoziWhat 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 | $0.00047 | $0.00359 |
| Opus 5 | $0.00023 | $0.00179 |
| Sonnet 5 | $0.00009 | $0.00072 |
| Haiku 4.5 | $0.00005 | $0.00036 |
Grade A, and why
financial-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 3d 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 Analysis Workflow
How to Execute
- Gather: Use web_search to find current market data, financial reports, or economic indicators.
- Analyze: Examine key metrics (P/E ratio, revenue growth, margins, volume, trends).
- Contextualize: Compare against sector benchmarks, historical performance, or peer companies.
- Risk Assessment: Identify key risks, catalysts, and uncertainties.
- Report: Present findings with clear structure. Always include the disclaimer.
Rules
- Always use web_search for current prices, earnings, or market data — never guess financial numbers.
- Present data with proper attribution and timestamps (markets change constantly).
- Distinguish between factual data and your analytical interpretation.
- Consider multiple perspectives (bull case, bear case, base case) when analyzing investments.
- Include relevant timeframes for all comparisons and trends.
Disclaimer
This is informational analysis only, not financial advice. Always consult a qualified financial advisor before making investment decisions. Past performance does not guarantee future results.
Pitfalls
- Using stale training data for financial figures instead of searching
- Presenting analysis as investment advice
- Ignoring risk factors or presenting only the bull case
- Not specifying the date/time of quoted prices or metrics
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.
- 3d ago First seen · 38 lines · 47 tokens per session scan A cd14a4ddb7da
financial-analysis is a skill published in the GitHub repository spytensor/openmozi (210 stars, last pushed 26d ago), licensed MIT. It adds 47 tokens to every session and 359 once invoked, about $0.0002 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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