Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/aisa-team/agent-skills/stock-analysis)<a href="https://agentmods.dev/skills/aisa-team/agent-skills/stock-analysis"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/stock-analysis/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/aisa-team/agent-skills/stock-analysis"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/stock-analysis.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 | $0.00073 | $0.00907 |
| Opus 5 | $0.00036 | $0.00453 |
| Sonnet 5 | $0.00015 | $0.00181 |
| Haiku 4.5 | $0.00007 | $0.00091 |
Grade A, and why
stock-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stock & Crypto Analysis — AIsa Edition
Analyze one or more stock or crypto tickers using the AIsa API with live Yahoo Finance data.
Setup
This skill requires an AIsa API key. Set it via plugin configuration or environment variable:
export AISA_API_KEY=your_key_here
export AISA_BASE_URL=https://api.aisa.one/v1 # optional
export AISA_MODEL=gpt-4o # optional
Or use the plugin's userConfig values (set automatically when the plugin is enabled).
Usage
Run the analysis script with one or more ticker symbols:
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" BTC-USD ETH-USD
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL MSFT GOOGL
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL --fast
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL --output json
Arguments
- Tickers: One or more stock symbols (e.g.,
AAPL,MSFT) or crypto symbols (e.g.,BTC-USD,ETH-USD) --fast: Skip slow analyses (insider trading, detailed news) for faster results--output json: Append a structured JSON summary after the analysis
Multi-Ticker Comparison
When multiple tickers are provided, the script produces individual analyses followed by a ranked comparison table:
| Ticker | Score | Signal | Key Strength | Key Risk |
|---|
8-Dimension Scoring (Stocks)
| # | Dimension | Weight |
|---|---|---|
| 1 | Earnings Surprise | 30% |
| 2 | Fundamentals (P/E, margins, growth) | 20% |
| 3 | Analyst Sentiment | 20% |
| 4 | Historical Patterns | 10% |
| 5 | Market Context (VIX, SPY/QQQ) | 10% |
| 6 | Sector Performance | 15% |
| 7 | Momentum (RSI, 52w range) | 15% |
| 8 | Sentiment (Fear/Greed, shorts, insiders) | 10% |
3-Dimension Scoring (Crypto)
What ships with it
1 file 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 · 88 lines · 73 tokens per session scan A 8d429878adf3
stock-analysis is a skill published in the GitHub repository AIsa-team/agent-skills (24 stars, last pushed 2d ago), licensed Apache-2.0. It adds 73 tokens to every session and 907 once invoked, about $0.0004 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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