Google Research is a repository of source code released by Google Research, including work organized across many research areas. Researchers and developers use it to study and reproduce projects from the repository. Catalogue entries are skills associated with selected material in the repository.
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 google-research/google-research --skill ticker-snapshotgit clone --depth 1 https://github.com/google-research/google-researchWrote 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/google-research/google-research/ticker-snapshot)<a href="https://agentmods.dev/skills/google-research/google-research/ticker-snapshot"><img src="https://agentmods.dev/badge/skills/google-research/google-research/ticker-snapshot.svg" alt="Measured on agentmods" 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 | $0.00029 | $0.00243 |
| Opus 5 | $0.00015 | $0.00121 |
| Sonnet 5 | $0.00006 | $0.00049 |
| Haiku 4.5 | $0.00003 | $0.00024 |
Grade A, and why
ticker-snapshot 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 7d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- ticker-snapshot — 100% identical, 0 lines differ
What it actually says
Ticker snapshot
Produce a tight, grounded overview of one equity.
Workflow
- Pull
data_equity_referencefor identity, sector/industry, market cap, beta, current price, 52-week range, and P/E. - Pull
data_equity_prices(1y) for the recent trend — SMA(20/50/200), any golden/death cross, realized volatility. - Write a short snapshot: what the company is, its scale and classification, where the price sits in its range, and the recent technical picture.
Principles
- Report the numbers and named canon the tools return (SMA, golden/death cross); let the figures speak. Note when a field is unavailable rather than guessing.
- Keep it to the essentials a reader needs to orient on the name quickly.
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.
- 7d ago First seen · 29 lines · 29 tokens per session scan A 60f3c173151c
ticker-snapshot is a skill published in the GitHub repository google-research/google-research (38,693 stars, last pushed 3d ago), licensed Apache-2.0. It adds 29 tokens to every session and 243 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 2026-08-30.
Other skills, from other repositories
ticker-snapshot
Quick structured overview of a single public equity — identity, sector, market cap, valuation ratios, current price, recent trend.
wealth-structure
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Perform comprehensive financial analysis including DCF modeling, ratio analysis, and financial statement evaluation for companies and investment opportunities.
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develop_extension
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work_with_server
This guide explains how to call tools, interpret responses, discover capabilities, use prompts, and handle errors when interacting with an OpenBB MCP server.