digitalocean-agentic-cloud

DigitalOcean Gradient AI agentic cloud and AI platform for building.

What this skill does for you

DigitalOcean Gradient AI agentic cloud and AI platform for building, training, and deploying AI agents on GPU infrastructure with foundation models, knowledge bases, and agent routes. Use when planning or operating AI agents on DigitalOcean.

Quoted from the skill description in the pinned source

Who made it

Publisherbobmatnyc

Repositoryclaude-mpm-skills

Installs295as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the digitalocean-agentic-cloud skill from bobmatnyc/claude-mpm-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 718070a7d622921b01687799a1f9613f36c6f615. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 718070a7d622921b01687799a1f9613f36c6f615. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 718070a7d622921b01687799a1f9613f36c6f615. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/bobmatnyc/claude-mpm-skills
Pinned skill file: View source at revision
Revision: 718070a7d622921b01687799a1f9613f36c6f615
Package hash: sha256:e54065179e2ce10ded28130021f64654fb2753acba413dd1794a834e23d74b7f
Licence: MIT