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 Mr-Nothing-L/awesome-agent-team --skill spawn-teamgit clone --depth 1 https://github.com/Mr-Nothing-L/awesome-agent-teamWrote 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/mr-nothing-l/awesome-agent-team/spawn-team)<a href="https://agentmods.dev/skills/mr-nothing-l/awesome-agent-team/spawn-team"><img src="https://agentmods.dev/badge/skills/mr-nothing-l/awesome-agent-team/spawn-team.svg" alt="Measured on agentmods" 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 | $0.00102 | $0.01489 |
| Opus 5 | $0.00051 | $0.00745 |
| Sonnet 5 | $0.00020 | $0.00298 |
| Haiku 4.5 | $0.00010 | $0.00149 |
Grade A, and why
spawn-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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
spawn-team
Language matching: detect the language the user is writing in and respond in the same language. If the user writes in Chinese, reply in Chinese. If English, reply in English. Do not mix languages unless the user does.
Turn a recruitment plan into a live, persistent Agent Team.
When to use this skill
- You have
./recruitment-plan.mdand./.claude/agents/*.mdready - You want to materialize the designed team as actual teammates
- Each teammate should get a unique name and personality
What happens
- Read and validate
./recruitment-plan.mdand role files - Draw a unique random name and persona for each teammate (no repeats within the team)
- Build spawn prompts with name, persona, speaking style, and role definition
- Call
TeamCreateto spawn the Team-Leader + workers - Send a kickoff message to the Team-Leader to begin coordinating
Prerequisite:
./recruitment-plan.mdand./.claude/agents/<slug>.mdmust exist. If they don't, runbrainstorm-team(or/start-team) first.
Step 1. Confirm composition
- Read
./recruitment-plan.md. - Verify each role in the team-composition table has a matching
./.claude/agents/<slug>.mdfile. If any role file is missing, do NOT try to write it inline — re-spawn the Team-Leader viaAgent({ subagent_type: "awesome-agent-team:team-leader", description: "Generate missing agent files", prompt: "<list of missing slugs>, recruitment-plan.md already exists at repo root" })and let it regenerate the files. Only proceed to Step 2 once all files exist. - Validate each role file:
- Must have YAML frontmatter delimited by
---at start and end. - Must contain
nameanddescriptionkeys. - If any file fails validation, report the error and stop. Do not proceed to
TeamCreatewith malformed agent definitions.
- Must have YAML frontmatter delimited by
Step 2. Draw names and personas
- Load
references/names.jsonandreferences/personas.jsonfrom this skill's directory. - For each teammate (workers + Team-Leader), pick:
- A unique English first name (any gender — flat random pick across
male+femalearrays unless the user specified preferences) - A unique persona (full object from
personasarray)
- A unique English first name (any gender — flat random pick across
- Never reuse a name or a persona within a single team. Draw without replacement from a flattened, deduplicated pool.
- If the user asked for specific names ("call the frontend dev Maya"), respect them and remove those from the random pool.
What ships with it
2 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.
- 7d ago First seen · 146 lines · 102 tokens per session scan A 3f17e2dfb289
spawn-team is a skill published in the GitHub repository Mr-Nothing-L/awesome-agent-team (2 stars, last pushed 3mo ago), licensed MIT. It adds 102 tokens to every session and 1,489 once invoked, about $0.0005 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.
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