Secure AI agents
Action playbook from eleven Security @ AI Engineer talks. Do not summarize talks — pick a workflow and execute it.
Supporting files:
- workflows.md — workflows A–G (steps, deliverables, stop conditions)
- source-index.md — src-001…src-011 → learnings
Optional deliverables: {SKILL_OUTPUT_DIR}/secure-ai-agents/ — see skills-i-use OUTPUT.md.
Step 0 — Pick workflow
What is the user trying to secure?
├─ MCP / OAuth / user-delegated agent access → A
├─ Multi-tool agent before launch (IDOR, SSRF) → B
├─ Enterprise B2B agent identity & delegation → C
├─ Agent that runs shell/code (Codex-style) → D
├─ Pre-prod brittleness / harm / injection → E
├─ Public site cost & crawler abuse → F
└─ Remote inference with privacy guarantees → G
Open workflows.md for the chosen letter.
Install
cp -r skills/secure-ai-agents ~/.cursor/skills/
cp -r skills/secure-ai-agents ~/.codex/skills/
cp -r skills/secure-ai-agents ~/.claude/skills/
From skills-i-use or ingest-into-skills after sync.
Source corpus: playlists/security-ai-engineer/ in ingest-into-skills.
Output to user
- Name the workflow (A–G) and deliverables you are producing
- Save checklists/threat models under
./skill-outputs/secure-ai-agents/when the user wants files - Do not auto-commit
Invocation examples
@secure-ai-agents OAuth for our MCP server and token exchange
@secure-ai-agents red-team our agent tools before launch
@secure-ai-agents sandbox and network policy for coding agent