Borrowing it
Nothing to install: this file belongs to ytthuan/powerpoint-python-pptx-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/ytthuan/powerpoint-python-pptx-mcp/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/ytthuan/powerpoint-python-pptx-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/ytthuan/powerpoint-python-pptx-mcp/copilot-instructions)<a href="https://agentmods.dev/instructions/ytthuan/powerpoint-python-pptx-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/ytthuan/powerpoint-python-pptx-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.
<a href="https://agentmods.dev/instructions/ytthuan/powerpoint-python-pptx-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/ytthuan/powerpoint-python-pptx-mcp/copilot-instructions.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 | $0.02650 | $0.02650 |
| Opus 5.5 | $0.01060 | $0.01060 |
| Sonnet 5.5 | $0.00530 | $0.00530 |
| Haiku 4.5 | $0.00265 | $0.00265 |
Grade A, and why
powerpoint-python-pptx-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 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.
How it starts
The opening of the file, as written. The whole thing — 327 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Copilot Instructions
Project context
This repository is a Model Context Protocol (MCP) server for PowerPoint (PPTX) file manipulation. It enables AI agents to interact with PowerPoint presentations through natural language commands, with a primary focus on automated speaker notes processing.
The project includes:
- MCP server implementation for PPTX operations (read, edit, slide management)
- Automated speaker notes processing (translation, summarization, batch updates)
- Safe zip-based editing that preserves animations and transitions
- Comprehensive validation, caching, and security features
- Support for multi-language note processing (Vietnamese/English - configurable)
Primary audience: Developers building AI-powered presentation tools and content creators working with PowerPoint presentations.
Tech stack
- Language: Python 3.11+ (strictly typed with mypy)
- Core libraries:
python-pptxfor PPTX manipulationlxmlfor XML processingmcpfor Model Context Protocol serverPillowfor image handling
- Testing: pytest, pytest-asyncio, pytest-cov
- Code quality: black, isort, flake8, mypy, bandit, interrogate
- Dependency management: pip, requirements.txt
- Pre-commit hooks: Configured for automatic code quality checks
Build, test, and lint commands
Setup
python3 -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
pip3 install -r requirements.txt
pip3 install -e .
Running the server
python3 -m mcp_server.server
Testing
# Full test suite
python3 -m pytest tests/ -v
# Quick server test
python3 tests/integration/test_mcp_server.py --quick
# Specific feature tests
python3 -m pytest tests/integration/test_batch_operations.py
python3 -m pytest tests/integration/test_slide_visibility.py
# With coverage report
python3 -m pytest --cov=src/mcp_server --cov-report=html
Linting and formatting
# Format code
black src/ tests/ --line-length=100
isort src/ tests/ --profile black --line-length 100
# Lint
flake8 src/ tests/ --max-line-length=100 --extend-ignore=E203,W503
# Type checking
mypy src/ --strict --ignore-missing-imports
# Security checks
bandit -r src/ -c pyproject.toml
# Docstring coverage
interrogate src/ --config=pyproject.toml
# Run all pre-commit hooks
pre-commit run --all-files
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 First seen · 327 lines · 2,650 tokens per session scan A 2da8ebd20983
powerpoint-python-pptx-mcp copilot-instructions.md is an instructions file published in the GitHub repository ytthuan/powerpoint-python-pptx-mcp (0 stars, last pushed 9mo ago), licensed MIT. It adds 2,650 tokens to every session, about $0.0106 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.
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