What is trendspyg AGENTS.md?

Project instructions for trendspyg, a Python library and command-line tool for Google Trends data. Google Trends shows how often people search for topics over time and in different regions.

Use them to retrieve current trends, filter trend data, compare keywords, and examine interest over time or by region.

They explain which trendspyg data access method fits current trends, larger result sets, or keyword analysis.

How flack0x/trendspyg configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to flack0x/trendspyg. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/flack0x/trendspyg/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/flack0x/trendspyg

Made for: Codex, OpenCode.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/flack0x/trendspyg/agents-md/github.svg)](https://agentmods.dev/instructions/flack0x/trendspyg/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/flack0x/trendspyg/agents-md"><img src="https://agentmods.dev/badge/instructions/flack0x/trendspyg/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/flack0x/trendspyg/agents-md"><img src="https://agentmods.dev/badge/instructions/flack0x/trendspyg/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 5,196 This file is loaded in full into every session.

When invoked 5,196 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.05196	$0.05196
Opus 5.5	$0.02078	$0.02078
Sonnet 5.5	$0.01039	$0.01039
Haiku 4.5	$0.00520	$0.00520

Measured 1mo ago against content hash d4429fdc0af7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

trendspyg 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 1mo 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.

AGENTS.md · 355 lines

How it starts

The opening of the file, as written. The whole thing — 355 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Reference for coding agents (Claude Code, Codex, Gemini CLI, Cursor, etc.) working with the trendspyg library. Human-written; agent-readable. Keep it short — link out for depth.

What this library does

trendspyg is a Python library + CLI for Google Trends data. It is the maintained replacement for the archived pytrends. Three paths:

RSS path (download_google_trends_rss) — fast (typically 0.2–2s, network-dependent), ~10–20 current trends per region, includes news articles and images, no browser required. Use this by default for "what's trending now?"
CSV path (download_google_trends_csv) — comprehensive (~10s), 480+ current trends, supports time/category filtering, requires Chrome + Selenium. Use when you need the extra volume or filtering.
Explore path (download_google_trends_interest_over_time, download_google_trends_explore, download_google_trends_comparison) — keyword analysis over time (interest over time, related queries, interest by region, multi-keyword comparison on one shared scale) — the data pytrends was most used for. Requires Chrome; rate-limit sensitive (~10–90s, may retry) — roughly 8–10 fresh browser sessions in a short burst triggers Google's hard 429 block for the machine's IP (RateLimitError at once; recovery tens of minutes at least). Use for "how is interest in keyword X moving / where does it peak / which of these terms wins?", not for high-frequency polling; identical repeats are free with cache="disk".

Install

pip install trendspyg[all]      # everything
pip install trendspyg           # core (RSS path + CSV path, no CLI/async/DataFrame)
pip install trendspyg[cli]      # CLI only
pip install trendspyg[async]    # async RSS
pip install trendspyg[analysis] # DataFrame/JSON/Parquet output
pip install trendspyg[mcp]      # MCP server (Python 3.10+)

MCP server — the zero-code path

If your host supports MCP, you don't need to write Python at all: register the trendspyg-mcp command (stdio) and call the tools directly.

Read the full file on GitHub · 355 lines

Changes

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.

1mo ago Changed · +26 lines · +358 tokens per session d4429fdc0af7
1mo ago Changed · +20 lines · +249 tokens per session d0c7b3f3844a
1mo ago Changed · +8 lines · +211 tokens per session b359552732ac
2mo ago First seen · 301 lines · 4,378 tokens per session scan A 02e85540d042

Subscribe to this mod's changes

trendspyg AGENTS.md is an instructions file published in the GitHub repository flack0x/trendspyg (64 stars, last pushed 1mo ago), licensed MIT. It adds 5,196 tokens to every session, about $0.0208 per session on Opus 5.5. 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.

Analytics and metrics Languages Python cli data-analysis google-trends google-trends-api pytrends

trendspyg AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
trendspyg AGENTS.mdflack0x/trendspyg	Instructions file	64	1mo ago	MIT	A	5,196	Codex, OpenCode
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vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

trendspyg: Instructions file for Codex