What is speechwire-mcp copilot-instructions.md?

Repository instructions for an AI coding agent working on SpeechWireMCP, a server that retrieves authenticated tournament judge data for speech-and-debate competitions. They describe the Python tools, project structure, and coding conventions.

Use them when developing, testing, parsing, linting, or extending the MCP server that exposes SpeechWire judge information to AI assistants.

They explain how the server logs in, retrieves and parses SpeechWire pages, and should be tested and maintained.

How jessica-writes-code/speechwire-mcp configures GitHub Copilot

Reuse

Borrowing it

Nothing to install: this file belongs to jessica-writes-code/speechwire-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.

Copy the file

curl -O https://raw.githubusercontent.com/jessica-writes-code/speechwire-mcp/main/.github/copilot-instructions.md

Clone the repo

git clone --depth 1 https://github.com/jessica-writes-code/speechwire-mcp

Made for: GitHub Copilot.

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/jessica-writes-code/speechwire-mcp/copilot-instructions/github.svg)](https://agentmods.dev/instructions/jessica-writes-code/speechwire-mcp/copilot-instructions)

Your own site

<a href="https://agentmods.dev/instructions/jessica-writes-code/speechwire-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/jessica-writes-code/speechwire-mcp/copilot-instructions/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/jessica-writes-code/speechwire-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/jessica-writes-code/speechwire-mcp/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,483 This file is loaded in full into every session.

When invoked 1,483 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	$0.01483	$0.01483
Opus 5.5	$0.00593	$0.00593
Sonnet 5.5	$0.00297	$0.00297
Haiku 4.5	$0.00148	$0.00148

Measured 2mo ago against content hash c7fff4b8c331, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

speechwire-mcp copilot-instructions.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 2mo 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.

.github/copilot-instructions.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Copilot Instructions for SpeechWireMCP

Project Overview

SpeechWireMCP is a Model Context Protocol (MCP) server that gives AI assistants secure access to SpeechWire tournament judge data for speech-and-debate (forensics) competitions. It scrapes manage.speechwire.com behind an authenticated session and exposes structured data through MCP tools.

Tech Stack

Python 3.11+ — use modern syntax (X | Y unions, list[dict], etc.)
MCP SDK (mcp package, FastMCP) — tool registration via @mcp.tool()
requests — HTTP client with a stateful requests.Session for auth cookies
BeautifulSoup4 — HTML parsing of SpeechWire pages
Hatchling — PEP 517 build backend
pytest — testing
ruff — linting (line-length 100, target py311)

Architecture

src/speechwire_mcp/
├── server.py            # FastMCP server, tool definitions, lazy client init
├── client.py            # SpeechWireClient (4-step auth), _fetch_and_parse helper
├── parsing_helpers.py   # Shared BS4 utilities (make_soup, td_safe, extract_int_query_param)
├── judges/
│   ├── client.py        # Judge data retrieval (list, contact, availability, school)
│   └── parsers.py       # Judge HTML → structured data parsing
├── login/
│   ├── client.py        # Account & tournament discovery after login
│   └── parsers.py       # Account list & tournament list parsing
├── rooms/
│   ├── client.py        # Room list, usage grid, count retrieval
│   └── parsers.py       # Room HTML → structured data parsing
├── results/
│   ├── client.py        # Tab sheet results retrieval
│   └── parsers.py       # Results HTML → structured data parsing
├── schematics/
│   ├── client.py        # Schematic event list & round schematic retrieval
│   └── parsers.py       # Schematic HTML → structured data parsing
├── structure/
│   ├── client.py        # Timeslot & grouping retrieval
│   └── parsers.py       # Schedule/grouping HTML → structured data parsing
└── teams/
    ├── client.py        # Team list, entries, hybrid entries retrieval
    └── parsers.py       # Team HTML → structured data parsing

Read the full file on GitHub · 128 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.

2mo ago First seen · 128 lines · 1,483 tokens per session scan A c7fff4b8c331

Subscribe to this mod's changes

speechwire-mcp copilot-instructions.md is an instructions file published in the GitHub repository jessica-writes-code/speechwire-mcp (0 stars, last pushed 21d ago), licensed MIT. It adds 1,483 tokens to every session, about $0.0059 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 2026-08-31.

speechwire-mcp copilot-instructions.md next to 6 instructions from other repositories
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speechwire-mcp: Instructions file for GitHub Copilot