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 648 of the 828 authors here whose files we hold, read 2026-08-07
- Parameterize all database queriesin 68 of 648, across 51 files
- Hash passwords using bcrypt, scrypt, or argon2in 49 of 648, across 36 files
- Apply rate limiting to authentication endpointsin 48 of 648, across 24 files
- Configure security headersin 35 of 648, across 19 files
- Validate all inputsin 32 of 648, across 24 files
- Validate all external input at the system boundaryin 29 of 648, across 19 files
- Run containers as a non-root userin 28 of 648, across 15 files
- Use httponly secure samesite cookies for sessionsin 26 of 648, across 15 files
- Run dependency audits before every releasein 21 of 648, across 10 files
- Encode output to prevent cross-site scriptingin 21 of 648, across 11 files
- Copy dependencies before source codein 20 of 648, across 9 files
- Store secrets in environment variablesin 20 of 648, across 18 files
Said here and by no other author read
- pick a single workflow and execute it
- do not summarize talks
- open workflows.md for the chosen letter
- name the workflow and deliverables produced
- save outputs under skill-outputs 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.