Install
$ agentstack add skill-digital-stoic-org-agent-skills-convert-pptx ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Convert PPTX → Markdown
Convert the PowerPoint file at $1 to clean markdown format optimized for LLM context.
Steps
- Install dependency: Use
toolsmith:install-dependencyskill to ensuremarkitdownis installed - Parse arguments: Input file
$1(required), output dir$2(optional, defaults to./converted/) - Prepare output dir: Create
$2if it doesn't exist - Convert:
``bash source .venv/bin/activate && python -m markitdown "$1" -o "$OUTPUT_DIR/output.md" ``
- Report: Output location, file sizes, structure summary (slide count, headings, tables, images), any warnings
Goal
Extract clean markdown for LLM context — analysis, summarization, Q&A. NOT for round-tripping back to PPTX.
No content sent to any LLM during conversion (pure script-based extraction).
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: digital-stoic-org
- Source: digital-stoic-org/agent-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.