powerpoint-python-pptx-mcp core.instructions.md

A set of development instructions for the core services of a Python tool that edits PowerPoint files. PPTX is the file format used by modern Microsoft PowerPoint presentations.

In plain words
What is it for?
Use it when developing or reviewing PPTX handlers and other core services that create or modify PowerPoint presentations.
Why use it?
It documents patterns for validating files, handling errors, preserving presentation structure, managing resources, and supporting Unicode text safely.

Instructions file for GitHub Copilot

Install

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.

agentmods
npx agentmods add instructions/ytthuan/powerpoint-python-pptx-mcp/core
Clone the repo
git clone --depth 1 https://github.com/ytthuan/powerpoint-python-pptx-mcp

Made for: GitHub Copilot.

Per session 2,035 This file is loaded in full into every session.
When invoked 2,035 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.02035 $0.02035
Opus 5 $0.01018 $0.01018
Sonnet 5 $0.00407 $0.00407
Haiku 4.5 $0.00203 $0.00203

Measured yesterday against content hash a60df888e4d1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

powerpoint-python-pptx-mcp core.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 yesterday.

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/instructions/core.instructions.md · 336 lines

How it starts

The opening of the file, as written. The whole thing — 336 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Core Services Development

These instructions apply to core service implementations in src/mcp_server/core/.

Core services overview

Core services provide the fundamental PPTX manipulation capabilities. They must be:

  • Reliable: No data loss, no corruption
  • Safe: Validate all inputs, handle all errors
  • Efficient: Use caching, lazy loading
  • Maintainable: Clear abstractions, well-tested

Critical requirements

  • Never modify PPTX structure accidentally - Preserve animations, transitions, layouts
  • Always validate file integrity - Check PPTX is valid before and after operations
  • Use context managers - Properly close file handles
  • Handle encoding carefully - Support Unicode (especially Vietnamese characters)
  • Log all operations - Structured logging with context

PPTX Handler pattern

from typing import Optional, List, Dict, Any
from pptx import Presentation
from pathlib import Path
import logging

logger = logging.getLogger(__name__)

class PPTXHandler:
    """Handle PPTX file operations safely and efficiently."""
    
    def __init__(self, cache_size: int = 100):
        """Initialize handler with optional caching.
        
        Args:
            cache_size: Maximum number of presentations to cache
        """
        self._cache = LRUCache(cache_size)
        
    async def read_presentation(
        self,
        pptx_path: str,
        use_cache: bool = True
    ) -> Presentation:
        """Read presentation from file with optional caching.
        
        Args:
            pptx_path: Path to PPTX file
            use_cache: Whether to use cache
            
        Returns:
            Presentation object
            
        Raises:
            FileOperationError: If file cannot be read
        """
        try:
            # Check cache first
            if use_cache and pptx_path in self._cache:
                logger.debug(f"Cache hit for {pptx_path}")
                return self._cache[pptx_path]
            
            # Validate file exists and is readable
            path = Path(pptx_path)
            if not path.exists():
                raise FileOperationError(f"File not found: {pptx_path}")
            
            # Load presentation
            logger.info(f"Loading presentation: {pptx_path}")
            prs = Presentation(pptx_path)
            
            # Cache if requested
            if use_cache:
                self._cache[pptx_path] = prs
                
            return prs
            
        except Exception as e:
            logger.error(f"Failed to read presentation: {e}", exc_info=True)
            raise FileOperationError(f"Cannot read PPTX: {e}")

Read the full file on GitHub · 336 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.

  1. yesterday First seen · 336 lines · 2,035 tokens per session scan A a60df888e4d1

Subscribe to this mod's changes

powerpoint-python-pptx-mcp core.instructions.md is an instructions file published in the GitHub repository ytthuan/powerpoint-python-pptx-mcp (0 stars, last pushed 7mo ago), licensed MIT. It adds 2,035 tokens to every session, about $0.0102 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 2026-08-31.

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