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Install in OpenClaw
/install pptx-to-text
Description
Extract plain text from PowerPoint (.pptx) presentations using MinerU. Pulls readable text content from slides for easy reading and processing. Features: tex...
Usage Guidance
This skill appears to do what it claims (calls the mineru-open-api CLI and optionally uses a MINERU_TOKEN). Before installing or using it with sensitive documents: 1) Confirm whether the mineru-open-api CLI processes files locally or uploads them to mineru.net (check the CLI source and MinerU privacy/API docs). 2) Inspect the npm package and the GitHub repository referenced to ensure the code matches your expectations. 3) Test with non-sensitive sample files first. 4) If you must use real data and the CLI uploads files, limit risk by using a least-privilege token, rotating it if possible, and reviewing MinerU's data retention/privacy policy. 5) If you cannot confirm local-only processing and data confidentiality is required, avoid sending sensitive slides to the service.
Capability Analysis
Type: OpenClaw Skill
Name: pptx-to-text
Version: 0.4.0
The skill is a legitimate wrapper for the MinerU CLI tool (mineru-open-api) used to extract text from PowerPoint presentations. It points to official OpenDataLab (Shanghai AI Lab) repositories and follows standard practices for API authentication and installation via npm or Go. No malicious intent, data exfiltration, or prompt injection attempts were found in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
Name/description match the declared requirements: the skill requires the mineru-open-api binary and an optional MINERU_TOKEN for full extraction, which aligns with extracting text from .pptx via the MinerU service/CLI.
Instruction Scope
SKILL.md gives concrete CLI commands and describes flash-extract (no token) vs extract (token required). However it does not state whether extraction runs locally or transmits files to a remote MinerU service/API. The instructions allow local file and URL inputs (expected), but lack explicit data-flow/privacy details—this is relevant if you will process sensitive slides.
Install Mechanism
Install methods are standard (npm package and go install from a GitHub repo). No arbitrary download URLs or extract-from-unknown-host steps are present in the metadata.
Credentials
Only one credential (MINERU_TOKEN, declared as primary) is required which is proportional for a service-backed extractor. Bear in mind the token likely grants API access and could enable upload/processing of files by the remote service; the SKILL.md mentions where to create the token but does not describe token scope or expiration.
Persistence & Privilege
Skill is not always-on and is user-invocable. It requests no config paths and does not modify other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install pptx-to-text - After installation, invoke the skill by name or use
/pptx-to-text - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.4.0
SEO: expand description for better ClawHub vector search discovery
v0.3.0
Rollback to original version
v0.2.2
SEO optimization v0.2.2
v0.2.1
SEO optimization v0.2.1
v0.2.0
SEO optimization v0.2.0
v1.0.1
Minor update
v1.0.0
Initial release
Metadata
Frequently Asked Questions
What is PPTX to Text?
Extract plain text from PowerPoint (.pptx) presentations using MinerU. Pulls readable text content from slides for easy reading and processing. Features: tex... It is an AI Agent Skill for Claude Code / OpenClaw, with 154 downloads so far.
How do I install PPTX to Text?
Run "/install pptx-to-text" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is PPTX to Text free?
Yes, PPTX to Text is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does PPTX to Text support?
PPTX to Text is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created PPTX to Text?
It is built and maintained by mzlzyCA (@mzlzyca); the current version is v0.4.0.
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