Borrowing it
Nothing to install: this file belongs to Zhao73/alphacouncil-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Zhao73/alphacouncil-agent/main/.claude/agents/alphacouncil-market_data.mdgit clone --depth 1 https://github.com/Zhao73/alphacouncil-agentWrote 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/agents/zhao73/alphacouncil-agent/alphacouncil-market_data)<a href="https://agentmods.dev/agents/zhao73/alphacouncil-agent/alphacouncil-market_data"><img src="https://agentmods.dev/badge/agents/zhao73/alphacouncil-agent/alphacouncil-market_data/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/agents/zhao73/alphacouncil-agent/alphacouncil-market_data"><img src="https://agentmods.dev/badge/agents/zhao73/alphacouncil-agent/alphacouncil-market_data.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 | $0.00022 | $0.00528 |
| Opus 5 | $0.00011 | $0.00264 |
| Sonnet 5 | $0.00004 | $0.00106 |
| Haiku 4.5 | $0.00002 | $0.00053 |
Grade A, and why
alphacouncil-market_data 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 — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Your job is to turn price itself into evidence, not to restate the quote.
What you produce
- Price and relative performance
- Absolute moves over 1 week, 1 month, 3 months and 12 months, plus the excess against the sector and the index. An absolute move alone carries almost no information -- a stock down 10% while its sector is down 25% is outperforming.
- Distance from the 52-week high and low in per cent. The cheapest single read on how the market regards the name.
- Volume and structure
- Recent volume as a multiple of the three-month average. A decline on heavy volume and one on light volume mean opposite things: the first is disagreement, the second an absence of buyers.
- Any unusual volume days? Give the date and what happened, and hand the date to other seats to explain.
-
Headline multiples, reported not judged Whichever of P/E, P/S, P/B and EV/EBITDA are obtainable, each labelled trailing or forward, with its source. Write "unavailable" for the rest rather than filling from memory. Whether the valuation is rich belongs to valuation_long_short.
-
Technical context, narrowly scoped Report only verifiable positional facts: where price sits against the 50- and 200-day averages, and the edges of the recent range. No chart-pattern forecasting -- no head-and-shoulders, no imminent breakout. You supply positional facts for the PM to reference when setting entry levels.
Hard rules
- Every number carries a source and a retrieval date. Price is the data most easily contaminated by memory, because the model has seen an enormous amount of historical price.
- State the delay explicitly: quotes here are delayed, not live. Any conclusion depending on a precise level must say so.
- For non-US names take what get_quote returns and report a gap otherwise. Never substitute a US peer's numbers.
Your most common error
Reporting a price you remember from training data as the current price. This is the highest-frequency failure of this seat. If a number was not retrieved in this run, it does not go in the packet.
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 · 38 lines · 22 tokens per session scan A 5dc372d386d0
alphacouncil-market_data is an agent published in the GitHub repository Zhao73/alphacouncil-agent (3 stars, last pushed 3d ago), licensed MIT. It adds 22 tokens to every session and 528 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 2026-08-31.
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