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-hot)<a href="https://agentmods.dev/skills/aisa-team/agent-skills/stock-hot"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/stock-hot/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-hot"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/stock-hot.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 | $0.00068 | $0.00480 |
| Opus 5 | $0.00034 | $0.00240 |
| Sonnet 5 | $0.00014 | $0.00096 |
| Haiku 4.5 | $0.00007 | $0.00048 |
Grade A, and why
stock-hot scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Hot Scanner — AIsa Edition
Scan for the most trending and high-momentum stocks and cryptocurrencies using the AIsa API.
Usage
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-hot/scripts/hot_scanner.py"
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-hot/scripts/hot_scanner.py" --focus stocks
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-hot/scripts/hot_scanner.py" --focus crypto
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-hot/scripts/hot_scanner.py" --output json
Arguments
--focus: Filter bystocks,crypto, orboth(default)--output json: Append structured JSON summary
Output Sections
- Top Stock Movers: Gainers (>3%), losers, most active by volume
- Crypto Highlights: BTC price, dominance, trending coins, gainers/losers
- News-Driven Movers: 5-8 items with ticker mentions from last 6 hours
- Top 5 Watchlist Picks: With risk level assessment
- Quick Take: 2-3 sentence market summary
NOT FINANCIAL ADVICE. For informational purposes only.
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.
- 12d ago First seen · 44 lines · 68 tokens per session scan A a71e8515f711
stock-hot is a skill published in the GitHub repository AIsa-team/agent-skills (25 stars, last pushed 2d ago), licensed Apache-2.0. It adds 68 tokens to every session and 480 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.
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