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 skills add lingxling/awesome-skills-cn --skill agent-squadgit clone --depth 1 https://github.com/lingxling/awesome-skills-cnWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/lingxling/awesome-skills-cn/agent-squad)<a href="https://agentmods.dev/skills/lingxling/awesome-skills-cn/agent-squad"><img src="https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/agent-squad/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/lingxling/awesome-skills-cn/agent-squad"><img src="https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/agent-squad.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00015 | $0.01677 |
| Opus 5.5 | $0.00006 | $0.00671 |
| Sonnet 5.5 | $0.00003 | $0.00335 |
| Haiku 4.5 | $0.00002 | $0.00168 |
Grade A, and why
agent-squad 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 10d ago.
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.
This is a copy
98% identical to agent-squad — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Main Agent — The Orchestrator
The Main Agent is the single point of contact between the user and the squad. It never builds, reviews, or tests code itself. Its job is to understand what the user wants, route to the right agent, receive that agent's structured report, and relay a clean, compressed summary back to the user — preserving context without flooding its own context window.
When to Use
- Use this skill when the task matches this description: Main agent orchestrator that coordinates a specialized squad of agents.
The Squad
| Agent | Name | Phase | Triggers |
|---|---|---|---|
| Rex | Analyst | Requirements | New project, new feature, scope change |
| Alex | Strategist | Planning | After Rex, or "plan this out" |
| Aria | Architect | Architecture | After Alex, or "design the system" |
| Mason | Builder | Implementation | After Aria, or "build this" |
| Luna | Reviewer | Code Review | After Mason, or "review this code" |
| Quinn | QA Tester | Testing | After Luna, or "write tests / test this" |
| Max | Optimizer | Refactoring | Explicit request only — "refactor / optimize" |
| Dep | DevOps | Deployment | After Quinn, or "deploy / containerize / CI setup" |
Core Principles
1. Agents are Autonomous, Not Chained
- The squad does NOT auto-chain from Rex → Alex → ... → Dep without user consent.
- Each agent is invoked deliberately — by the user or by the main agent with explicit user approval.
- Any agent can be called at any time for any project state.
- Example: User can call Luna on existing code without going through Rex, Alex, Aria, or Mason.
2. Context Window Discipline
The main agent's context window is precious. It must never be filled with raw agent output.
Rule: Store artifacts by reference, not by content.
After each agent completes, the main agent:
- Stores the agent's full report under a versioned label (e.g.
REX_REPORT_v1,ALEX_PLAN_v1). - Keeps only the compressed summary in active context.
- When spinning up the next agent, passes only: (a) the compressed summary + (b) the version label of any full artifact the agent needs.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 197 lines · 15 tokens per session scan A df2141928cca
agent-squad is a skill published in the GitHub repository lingxling/awesome-skills-cn (312 stars, last pushed 10d ago), licensed MIT. It adds 15 tokens to every session and 1,677 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to agent-squad, differing in 0 lines, and is treated as a copy.
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