Secure ai agents
Skill hiteshbandhu/skills-i-use/skills/ai-engineer-talks/secure-ai-agents
Security workflows for AI agents: OAuth/MCP identity, enterprise CIAM, tool/API red teaming, code sandboxes, GenAI fuzzing, Azure PyRIT scans, prompt injection drills, web AI bot policy, confidential inference patterns. Use when hardening agents, MCP servers, coding agents, or public apps against agent abuse.From its SKILL.md
npx -y skills add hiteshbandhu/skills-i-use --skill secure-ai-agentsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
2.2 KB, 509 tokens by cl100k_base, as published. Nobody here has run it
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
What ships with it: 3 files
10.7 KB alongside SKILL.md
- README.md1.0 KB
- source-index.md2.2 KB
- workflows.md7.4 KB
Gives 0 of the 12 instructions most security skills give in 509 tokens
Counted across 666 of the 889 authors here whose files we hold, read 2026-09-06
- Use parameterized queries for database accessin 82 of 666, across 79 files
- Hash passwords with BCryptin 55 of 666, across 39 files
- Implement rate limiting for public endpointsin 48 of 666, across 34 files
- Use environment variables for secretsin 35 of 666
- Scan dependencies for vulnerabilitiesin 35 of 666, across 24 files
- Validate and sanitize all user inputin 35 of 666, across 32 files
- Add security headers to all responsesin 34 of 666, across 20 files
- Validate all external input at the system boundaryin 26 of 666, across 25 files
- Use parameterized queries to prevent SQL injectionin 25 of 666, across 13 files
- Store secrets in Vault or environment variablesin 25 of 666, across 10 files
- Run containers as a non-root userin 21 of 666, across 18 files
- Validate all input using Bean Validationin 19 of 666, across 5 files
Said here and by no other author read
- Pick a workflow from the provided list
- Execute the chosen workflow steps
- Open workflows.md for the chosen letter
- Name the workflow and deliverables produced
- Save checklists and threat models to output directory
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.