Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/nicepkg/agent-world/teamnpx skills add nicepkg/agent-world --skill teamgit clone --depth 1 https://github.com/nicepkg/agent-worldWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00029 | $0.01859 |
| Opus 5 | $0.00015 | $0.00929 |
| Sonnet 5 | $0.00006 | $0.00372 |
| Haiku 4.5 | $0.00003 | $0.00186 |
Grade A, and why
team scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AgentWorld Development Team
10-agent expert team for building, reviewing, and growing the agent-world multi-agent simulation framework.
任务
$ARGUMENTS
可用 Agent
Tier 1: Strategic Architecture
| Agent | 文件 | 人物原型 | 职能 | 产出目录 |
|---|---|---|---|---|
| Framework Architect | framework-architect |
DHH | Plugin system, API design, conventions | docs/framework-architect/ |
| LLM Architect | llm-architect |
Andrej Karpathy | Brain plugin, prompt engineering, agent cognition | docs/llm-architect/ |
Tier 2: Core Engineering
| Agent | 文件 | 人物原型 | 职能 | 产出目录 |
|---|---|---|---|---|
| Systems Engineer | systems-engineer |
Werner Vogels | EventBus, tick loop, performance, resilience | docs/systems-engineer/ |
| Cognitive Engineer | cognitive-engineer |
Daniel Kahneman | Memory plugin, decision models, agent psychology | docs/cognitive-engineer/ |
| Simulation Designer | simulation-designer |
Will Wright | Scenario design, game mechanics, emergence | docs/simulation-designer/ |
| Visualization Engineer | visualization-engineer |
Bret Victor | 2D rendering, interactive viz, WebSocket streaming | docs/visualization-engineer/ |
Tier 3: Quality Assurance
| Agent | 文件 | 人物原型 | 职能 | 产出目录 |
|---|---|---|---|---|
| Quality Engineer | quality-engineer |
Kent Beck | TDD, plugin testing, integration testing | docs/quality-engineer/ |
| Contrarian Reviewer | contrarian-reviewer |
Charlie Munger | Architecture review, finding flaws, inversion thinking | docs/contrarian-reviewer/ |
Tier 4: Growth & Community
| Agent | 文件 | 人物原型 | 职能 | 产出目录 |
|---|---|---|---|---|
| DX Lead | dx-lead |
Guillermo Rauch | Developer experience, docs, examples, onboarding | docs/dx-lead/ |
| Community Strategist | community-strategist |
Evan You | Open source growth, ecosystem, community building | docs/community-strategist/ |
预设编队 (Preset Formations)
1. Architecture Review 架构评审
场景：Major design decisions, new package structure, API changes
成员：framework-architect + systems-engineer + contrarian-reviewer
流程：Architect proposes → Systems validates feasibility → Munger finds flaws
产出：docs/framework-architect/architecture-review-{topic}.md
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 147 lines · 29 tokens per session scan A 417466cd7d9b
team is a skill published in the GitHub repository nicepkg/agent-world (5 stars, last pushed 6mo ago), licensed MIT. It adds 29 tokens to every session and 1,859 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
aatmf-t10-confidentiality-breach
AATMF T10 — Integrity & Confidentiality Breach. System prompt extraction, training-data extraction, model-weight leakage, private-key recovery.
peekaboo
Capture and automate macOS UI with the Peekaboo CLI.
mochi-remind
Handle due reminders — notify the user with natural language and mark them done.
publish-registry
Publish @agentos-software/ registry packages from AgentOS. Use whenever the user asks to publish or release registry software/agent packages.
sidewinder-rattlesnake
Adversary-emulation profile for SideWinder (G0121 / Rattlesnake / T-APT-04 / Razor Tiger), India's suspected state-sponsored cyber-espionage actor.
lazarus-group
Adversary-emulation profile for Lazarus Group (G0032, aka Hidden Cobra / Diamond Sleet / Labyrinth Chollima), a North Korean RGB-linked actor conducting espionage, destructive, and financially motivated operations.