mm-skill

mm-skill is an Information, media & social sources skill for AI agents, published by vlm-run in the mm repository on GitHub. Skillspace rates mm-skill F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.

Use the mm CLI and Python API to index, explore, query, and extract content from multimodal directories containing images, videos, PDFs, code, and other files. Triggers: exploring a directory's contents, listing/finding files by type or size, extracting text from PDFs, getting image metadata, searching across file contents, counting tokens, viewing directory trees, extracting PDF page mosaics, video keyframe extraction, building VLM prompts, encoding media, audio transcription, 'what files are in this folder', 'find all images', 'show me the PDFs', 'how much storage do videos use', 'extract text from this PDF', 'search documents for X', 'analyze this directory', 'how many tokens', 'show the tree', 'build a VLM prompt', 'transcribe audio', 'encode this image'.

Grade
F
Quality
15 / 100
Safety
Unsafe
GitHub stars
67

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since.

Our review

Architecture
60 / 100
Maturity
Basic: a single SKILL.md
Security scan
Critical-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • pipe remote script to shell
  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.