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PPTAgent: Instructions file for Codex

AGENTS.md

PPTAgent AGENTS.md is an instructions file for Codex, OpenCode from icip-cas/PPTAgent. It costs 1,429 tokens per session, scanned A, original, MIT.

Project instructions for icip-cas/PPTAgent, a system that uses AI agents to create PowerPoint presentations. They describe the project structure, important commands, configuration files, and which code paths to treat as primary.

In plain words
What is it for?
Use them when developing PPTAgent, its command-line tool, its MCP server, or its HTML-to-PowerPoint pipeline.
Why use it?
They give an agent the project context needed to change the right files and run the correct tools. This reduces the chance of editing an older or secondary part of the system by mistake.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is icip-cas/PPTAgent's own configuration. It tells Codex and OpenCode how to work on PPTAgent itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything PPTAgent configures →

not rated 5.2krepo +22 4d ago A scan 1,429 tokens original MIT
View source ↗ icip-cas/PPTAgent arxiv.org
About the project

PPTAgent is an agent framework for generating PowerPoint presentations, including free-form and template-based slide decks. It supports workflows such as research, visual design, asset creation, text-to-image generation, and exporting presentations to PPTX.

icip-cas/PPTAgent · 5,206 stars · on GitHub · arxiv.org

Reuse

Borrowing it

Nothing to install: this file belongs to icip-cas/PPTAgent. 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/icip-cas/PPTAgent/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/icip-cas/PPTAgent

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.

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README.md
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Your own site
<a href="https://agentmods.dev/instructions/icip-cas/pptagent/agents-md"><img src="https://agentmods.dev/badge/instructions/icip-cas/pptagent/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.

agentmods 80×15 button for PPTAgent AGENTS.md

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<a href="https://agentmods.dev/instructions/icip-cas/pptagent/agents-md"><img src="https://agentmods.dev/badge/instructions/icip-cas/pptagent/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,429 This file is loaded in full into every session.
When invoked 1,429 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01429 $0.01429
Opus 5.5 $0.00572 $0.00572
Sonnet 5.5 $0.00286 $0.00286
Haiku 4.5 $0.00143 $0.00143

Measured 2mo ago against content hash 3e07ab7fa93a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

PPTAgent 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 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.

AGENTS.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project and User Background

Do not use plan mode unless user explicitly mentioned

Purpose

This repository contains an agentic PowerPoint generation system with two closely related codepaths:

  • deeppresenter/: the current runtime, CLI, multi-agent loop, MCP tool wiring, and HTML-to-PPTX pipeline.
  • pptagent/: the earlier core generation and evaluation library, still shipped in the package and still used for the MCP server entrypoint pptagent-mcp.

When making changes, treat deeppresenter as the primary product surface unless the task is explicitly about legacy pptagent generation internals or the MCP server.

Ground Truth

  • Python package metadata and console entrypoints live in pyproject.toml.
  • The main CLI command is pptagent, which points to deeppresenter.cli:main.
  • The MCP server command is pptagent-mcp, which points to pptagent.mcp_server:main.
  • Default runtime workspaces are created under ~/.cache/deeppresenter unless DEEPPRESENTER_WORKSPACE_BASE is set.
  • Configuration templates live at deeppresenter/config.yaml.example and deeppresenter/mcp.json.example.

Do not assume the root README.md is fully current. It still references paths like webui.py that are not present in this checkout. Prefer the code and pyproject.toml over prose docs when they conflict.

Core Philosophy

1. Good Taste First

"Sometimes you can look at a problem differently, restate it, and the special case disappears."

  • Prefer restructuring the code so edge cases become ordinary cases.
  • Good taste is mostly accumulated engineering judgment.
  • Removing special-case branches is better than piling on conditionals.

2. Pragmatism Over Theory

"I am a pragmatic bastard."

  • Solve the real problem in this repository, not a hypothetical one.
  • Reject theoretically elegant but operationally heavy designs when simpler approaches work.
  • Code serves reality, not paper architecture.

3. Simplicity As A Constraint

"If you need more than 3 levels of indentation, you're screwed and should fix your program."

Read the full file on GitHub · 123 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. 2mo ago First seen · 123 lines · 1,429 tokens per session scan A 3e07ab7fa93a

Subscribe to this mod's changes

PPTAgent AGENTS.md is an instructions file published in the GitHub repository icip-cas/PPTAgent (5,206 stars, last pushed 4d ago), licensed MIT. It adds 1,429 tokens to every session, about $0.0057 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.

LLMagentagentic-aimcppresentationslide
Related

PPTAgent AGENTS.md compared with instructions from other repositories

PPTAgent AGENTS.md next to 6 instructions from other repositories
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PPTAgent AGENTS.mdicip-cas/PPTAgentInstructions file5.2k4d agoMITA1,429Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143kyesterdayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149kyesterdayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode