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 agentmods add instructions/adpena/teadata-mcp/gemini-mdgit clone --depth 1 https://github.com/adpena/teadata-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/adpena/teadata-mcp/gemini-md)<a href="https://agentmods.dev/instructions/adpena/teadata-mcp/gemini-md"><img src="https://agentmods.dev/badge/instructions/adpena/teadata-mcp/gemini-md.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 | $0.00943 | $0.00943 |
| Opus 5 | $0.00472 | $0.00472 |
| Sonnet 5 | $0.00189 | $0.00189 |
| Haiku 4.5 | $0.00094 | $0.00094 |
Grade C, and why
teadata-mcp GEMINI.md 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 3d 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.
* `uv` package manager (`curl -LsSf https://astral.sh/uv/install.sh | sh`) Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
* `uv` package manager (`curl -LsSf https://astral.sh/uv/install.sh | sh`) How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Context: teadata-mcp
Overview
teadata-mcp is a Model Context Protocol (MCP) server that provides access to Texas Education Agency (TEA) data. It is designed primarily as a backend for ChatGPT applications, featuring a React-based frontend that integrates with OpenAI's apps-sdk-ui.
The application exposes a rich dataset of Texas school districts, campuses, and performance metrics through an SSE (Server-Sent Events) endpoint, allowing AI models to query and visualize this data.
Technology Stack
Backend
- Language: Python 3.11+
- Framework: Starlette (ASGI),
sse-starlettefor SSE. - Protocol: Model Context Protocol (MCP) via
modelcontextprotocolpackage. - Dependency Management:
uv - Key Library:
teadata(Git dependency) for data access.
Frontend
- Framework: React 18
- Build Tool: Vite
- Styling: Tailwind CSS,
shadcn/uicomponents (Radix UI + Tailwind). - Integration:
@openai/apps-sdk-uifor ChatGPT native look and feel. - Language: TypeScript
Directory Structure
src/teadata_mcp/: Python source code.sse_server.py: Main ASGI application entry point. Handles SSE (/sse) and serves static files.server.py: MCP server initialization and logic.router.py: Tool definitions and request routing.logic.py: Core business logic and data processing.config.py: Configuration settings.
frontend/: React frontend source code.src/: Components and views (App.tsx,CampusView.tsx, etc.).vite.config.ts: Configured to output builds to../static_dist.
static_dist/: (Generated) Compiled frontend assets served by the Python backend.tests/: Pytest suite.Dockerfile: Multi-stage build for production deployment.run_dev.sh: Helper script for local development.
Development Workflow
Prerequisites
- Python 3.11 or higher
- Node.js 20+ (for frontend)
uvpackage manager (curl -LsSf https://astral.sh/uv/install.sh | sh)
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.
- 3d ago First seen · 93 lines · 943 tokens per session scan C 22289234b366
teadata-mcp GEMINI.md is an instructions file published in the GitHub repository adpena/teadata-mcp (1 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 943 tokens to every session, about $0.0047 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.
Other instructions, from other repositories
llm-context.py CLAUDE.md
Instructions for cyberchitta/llm-context.py, covering claude.md, working notes (gitignored) and draining the field notes.
openrouter-mcp-multimodal AGENTS.md
Instructions for stabgan/openrouter-mcp-multimodal, covering agent instructions, before you ship, releasing (read this before publishing), short version and version files (must all match package.json).
seekstone CLAUDE.md
Instructions for shaqmughal/seekstone, covering claude.md, what this repo is, commands, the harness itself (run after npm install) and architecture.
Plonk AGENTS.md
Instructions for ostapondo/Plonk, covering agent rules, layout, adding a module, build & verify and code style.
mcp-dockhand copilot-review.instructions.md
Instructions for strausmann/mcp-dockhand: When reviewing pull requests in this repository.
second-brain AGENTS.md
Instructions for LindaHaviv/second-brain, covering instructions for ai coding agents, what to read first, the rules (non-negotiable), common tasks, the sanctioned way and enforcement, not just instructions.