Borrowing it
Nothing to install: this file belongs to chintan-diwakar/zentickr-yahoo-query-mcp. 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/chintan-diwakar/zentickr-yahoo-query-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/chintan-diwakar/zentickr-yahoo-query-mcpWrote 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/instructions/chintan-diwakar/zentickr-yahoo-query-mcp/agents-md)<a href="https://agentmods.dev/instructions/chintan-diwakar/zentickr-yahoo-query-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/chintan-diwakar/zentickr-yahoo-query-mcp/agents-md/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/instructions/chintan-diwakar/zentickr-yahoo-query-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/chintan-diwakar/zentickr-yahoo-query-mcp/agents-md.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 | $0.00295 | $0.00295 |
| Opus 5 | $0.00148 | $0.00148 |
| Sonnet 5 | $0.00059 | $0.00059 |
| Haiku 4.5 | $0.00030 | $0.00030 |
Grade A, and why
zentickr-yahoo-query-mcp AGENTS.md 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 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.
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
AGENTS.md
Zentickr — Yahoo Finance MCP server. Python ≥3.10, FastMCP (mcp), yahooquery, pandas.
Commands
- Setup:
python -m venv .venv && .venv/bin/pip install -e ".[dev]" - Test:
.venv/bin/pytest(offline; never add tests that hit the network) - Lint:
.venv/bin/ruff check . && .venv/bin/ruff format --check . - Run:
.venv/bin/zentickr(stdio MCP server)
Layout
src/zentickr/server.py— all MCP tools; plain yahooquery attributes go through_get()tests/— offline unit tests; mockzentickr.server.Ticker(stub pattern intests/test_tools.py)pyproject.toml— single source of deps/metadata (there is no requirements.txt)
Hard constraints
- Tool docstrings are user-facing MCP descriptions — keep them accurate.
- Tools return
"<Title>: Error - ..."strings on failure, never tracebacks. - CI (
.github/workflows/quality.yml: ruff + pytest, py3.10/3.12) must stay green. - Design docs live in
docs/superpowers/; contributor docs in CONTRIBUTING.md — link, don't restate.
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 · 21 lines · 295 tokens per session scan A 78f8c88e70f8
zentickr-yahoo-query-mcp AGENTS.md is an instructions file published in the GitHub repository chintan-diwakar/zentickr-yahoo-query-mcp (14 stars, last pushed 1mo ago), licensed MIT. It adds 295 tokens to every session, about $0.0015 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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