/00. Claude Plugins
A Claude Code plugin is a folder of skills, agents, hooks, and slash commands that Claude installs per project. 33 plugins, 76 skills here.
/plugin marketplace add aiocean/claude-plugins
/plugin install <plugin-name>@aiocean-plugins
Skills load when their description matches your message, hooks fire on
tool-call events, agents spawn on the Agent tool. Idle plugins cost
nothing — browse plugins or read the guides.
Folders
Articles
- Send books to your BOOX from the terminal01
- Patching Claude Code: rebalance the built-in prompts (and more)02
- Install Claude Code plugins in two commands03
- My CLAUDE.md04
- Three Claude Code primitives, three different jobs05
- Writing CLAUDE.md: the sections that actually help06
- aio-agent-threats07
- aio-agent-threats-reference08
- aio-anti-slop09
- aio-architect-advisor10
- aio-architect-reference11
- aio-atlassian12
- aio-boox13
- aio-browser-cookie14
- aio-bun-fullstack-setup15
- aio-catch-me-up16
- aio-code-review17
- aio-dashboard-design18
- aio-debug19
- aio-discover20
/02. aio-agent-threats
Curated attack-first reference for AI-agent security — how current AI agents (LLM apps, tool-calling agents, MCP servers, RAG/memory agents, multi-agent systems, autonomous coding agents) are manipulated and attacked, and how each vector is detected and mitigated. Built for an authorized red/blue lab.
Mirrors the aio-advisor knowledge-base pattern: a semantic-search shell over a volume-organized corpus, fronted by two skills (a guided advisor + a lookup reference).
Skills (the network)
| Skill | Role | Use when |
|---|---|---|
| aio-agent-threats | Advisor workflow (ASK → SEARCH → APPLY → COMPOSE → STRESS-TEST) | Red-teaming or hardening a specific target agent; building an attack chain + its defense |
| aio-agent-threats-reference | Encyclopedia lookup | Reading the full article on one technique, a named CVE/paper, or browsing a volume |
Both skills share the scripts/ + volume-NN-*/ corpus inside skills/aio-agent-threats/.
Corpus — 8 volumes
| Vol | Focus |
|---|---|
| 01 foundations | attack-surface taxonomy · instruction/data channel problem · agent kill chain · OWASP LLM + Agentic Top 10 / NIST crosswalk · trust-boundary threat modeling |
| 02 prompt-injection | direct · indirect · cross-modal · system-prompt extraction/leakage · obfuscation/encoding · delivery & persistence |
| 03 tool-and-mcp | tool poisoning (TPA) · MCP rug-pull & integrity gap · shadowing/parasitic toolchain · line-jumping/confused-deputy · excessive agency · MCP CVEs & exposure |
| 04 memory-and-context | MINJA · AgentPoison · RAG/retrieval poisoning · persistent false beliefs · cross-session environment injection · misattribution gap |
| 05 multi-agent | contagious poisoning (ARCJ) & LLM worms · agent-to-agent trust abuse · orchestrator hijack · cascading failures · A2A/transport protocol attacks |
| 06 jailbreak-evasion | multi-turn (Crescendo/STAC) · Echo Chamber · roleplay/DAN · encoding/cipher/GCG · many-shot · policy puppetry & automated jailbreaks |
| 07 supply-chain-exfiltration | coding-agent weaponization (Nx s1ngularity) · repository poisoning · data-exfil channels · real incidents (Devin, Copilot CVEs) · Anthropic espionage case · model/dependency supply chain |
| 08 defense-hardening | detection & monitoring · input isolation/spotlighting · dual-LLM & CaMeL · least-privilege & sandboxing · provenance & tool attestation · defense-in-depth & frameworks |
Each article follows one schema: Core Concept · Origin/First Seen · How It Works · Attack Surface & Preconditions · Weaponization (Authorized Lab) · Real-World Instances · Detection Signals · Mitigations/Hardening · Related Vectors · References. Every factual claim carries a source URL and a HIGH/MEDIUM/LOW confidence label.
Semantic search
cd ~/projects/learnSecurity/knowledges/aio-agent-threats/skills/aio-agent-threats/scripts
npx tsx build-embeddings.ts # once, builds embeddings.json (gitignored node_modules auto-install)
npx tsx search-vectors.ts "indirect injection via a poisoned GitHub issue" --top 6
Uses snowflake-arctic-embed-xs (384-dim, local, no API key) over a prebuilt embeddings.json.
Authorization
This is offensive + defensive content for authorized security research in a lab the operator owns. Apply only to systems you are authorized to test.
Skills (2)
- aio-agent-threats — AI-agent attack-vector advisor — selects the relevant manipulation/attack vectors for a target agent (LLM app, tool-calling agent, MCP server, RAG/memory agent,…
- aio-agent-threats-reference — Lookup over the AI-agent attack-vector encyclopedia (8 volumes, ~45 articles on prompt injection, tool/MCP poisoning, memory poisoning, multi-agent attacks, jai…