Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/serejaris/kimi-skillsnpx agentmods add skills/serejaris/kimi-skills/yahoo_financeWrote 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/serejaris/kimi-skills/yahoo_finance)<a href="https://agentmods.dev/skills/serejaris/kimi-skills/yahoo_finance"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/yahoo_finance/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/serejaris/kimi-skills/yahoo_finance"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/yahoo_finance.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 | $0.00052 | $0.00810 |
| Opus 5 | $0.00026 | $0.00405 |
| Sonnet 5 | $0.00010 | $0.00162 |
| Haiku 4.5 | $0.00005 | $0.00081 |
Grade C, and why
yahoo_finance scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
python3 -c "import agent_gw" || python3 -m pip install "$(curl -s https://cdn.kimi.com/agentgw/pysdk/manifest.json | python3 -c "import json,sys; print(json.load(sys.stdin)['latest']['url'])")" Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
python3 -c "import agent_gw" || python3 -m pip install "$(curl -s https://cdn.kimi.com/agentgw/pysdk/manifest.json | python3 -c "import json,sys; print(json.load(sys.stdin)['latest']['url'])")" How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Yahoo Finance
Use this skill to answer questions that require Yahoo Finance data for a ticker symbol.
Setup
Check whether the agent-gw Python SDK is available in the current Python environment, and install it only if the check fails:
python3 -c "import agent_gw" || python3 -m pip install "$(curl -s https://cdn.kimi.com/agentgw/pysdk/manifest.json | python3 -c "import json,sys; print(json.load(sys.stdin)['latest']['url'])")"
The SDK needs an API key from api_key=..., KIMI_API_KEY, or
~/.kimi/agent-gw.json.
Workflow
- Run
python3 scripts/yahoo_finance_tool.py describefrom the plugin directory to callget_data_source_desc({"name": "yahoo_finance"}). - Read the returned Markdown carefully. It contains the overall data source rules, ticker formats, coverage, global constraints, and each API's description, required parameters, optional parameters, defaults, and allowed values.
- Select the API that best matches the user's question.
- Build
paramsexactly from the Markdown requirements. Pay attention to ticker symbol, exchange suffix, date range, statement type, reporting period, currency, and metric definitions. - Use
python3 scripts/yahoo_finance_tool.py callto callcall_data_source_tool. - If the call fails, explain the failure reason from the response.
- If the call succeeds, save any returned files first, then answer using
resp.result.assistant; ignoreresp.result.userunless display content is specifically needed.
Common Use Cases
- Stock price and trading information for a ticker.
- Company information and profile data.
- Financial metrics, earnings, revenue, margins, returns, and risk metrics.
- Balance sheet data and other supported statement details.
- Dividends, ownership, holder information, and analyst coverage.
Script
Use the bundled script from the plugin directory:
python3 scripts/yahoo_finance_tool.py describe
After reading the Markdown and selecting an API:
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.
- 11d ago First seen · 91 lines · 52 tokens per session scan C 1cc230e5f00f
yahoo_finance is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 810 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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