agentica-spawn

agentica-spawn is a skill for Claude Code from vibeeval/vibecosystem. It costs 11 tokens per session (457 once invoked), scanned A, a copy of agentica-spawn, MIT.

A guide to starting predefined multi-agent coordination patterns in Agentica. These patterns include parallel research, coordinated implementation, iterative critique, and group validation.

In plain words
What is it for?
Use it to run parallel investigations, coordinate implementation specialists, refine results through critique, or validate important decisions with a voting group.
Why use it?
It turns a selected workflow design into the corresponding Agentica code structure.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Good fit Use it to run parallel investigations, coordinate implementation specialists, refine results through critique, or validate important decisions with a voting group.

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Install with agentmods
npx agentmods add skills/vibeeval/vibecosystem/agentica-spawn
Install

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.

Any agent
npx skills add vibeeval/vibecosystem --skill agentica-spawn
Clone the repo
git clone --depth 1 https://github.com/vibeeval/vibecosystem

Made for: Claude Code.

Wrote 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.

agentmods badge for agentica-spawn

README.md
[![agentmods](https://agentmods.dev/badge/skills/vibeeval/vibecosystem/agentica-spawn/github.svg)](https://agentmods.dev/skills/vibeeval/vibecosystem/agentica-spawn)
Your own site
<a href="https://agentmods.dev/skills/vibeeval/vibecosystem/agentica-spawn"><img src="https://agentmods.dev/badge/skills/vibeeval/vibecosystem/agentica-spawn/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.

agentmods 80×15 button for agentica-spawn

Your own site · 80×15
<a href="https://agentmods.dev/skills/vibeeval/vibecosystem/agentica-spawn"><img src="https://agentmods.dev/badge/skills/vibeeval/vibecosystem/agentica-spawn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 11 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 457 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00011 $0.00457
Opus 5.5 $0.00004 $0.00183
Sonnet 5.5 $0.00002 $0.00091
Haiku 4.5 $0.00001 $0.00046

Measured 1mo ago against content hash 245ba85626ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agentica-spawn 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 1mo 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.

Origin

This is a copy

100% identical to agentica-spawn — 148 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.

skills/agentica-spawn/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agentica Spawn Skill

Use this skill after user selects an Agentica pattern.

When to Use

  • After agentica-orchestrator prompts user for pattern selection
  • When user explicitly requests a multi-agent pattern (swarm, hierarchical, etc.)
  • When implementing complex tasks that benefit from parallel agent execution
  • For research tasks requiring multiple perspectives (use Swarm)
  • For implementation tasks requiring coordination (use Hierarchical)
  • For iterative refinement (use Generator/Critic)
  • For high-stakes validation (use Jury)

Pattern Selection to Spawn Method

Swarm (Research/Explore)

swarm = Swarm(
    perspectives=[
        "Security expert analyzing for vulnerabilities",
        "Performance expert optimizing for speed",
        "Architecture expert reviewing design"
    ],
    aggregate_mode=AggregateMode.MERGE,
)
result = await swarm.execute(task_description)

Hierarchical (Build/Implement)

hierarchical = Hierarchical(
    coordinator_premise="You break tasks into subtasks",
    specialist_premises={
        "planner": "You create implementation plans",
        "implementer": "You write code",
        "reviewer": "You review code for issues"
    },
)
result = await hierarchical.execute(task_description)

Generator/Critic (Iterate/Refine)

gc = GeneratorCritic(
    generator_premise="You generate solutions",
    critic_premise="You critique and suggest improvements",
    max_rounds=3,
)
result = await gc.run(task_description)

Jury (Validate/Verify)

jury = Jury(
    num_jurors=5,
    consensus_mode=ConsensusMode.MAJORITY,
    premise="You evaluate the solution"
)
verdict = await jury.decide(bool, question)

Environment Variables

All spawned agents receive:

  • SWARM_ID: Unique identifier for this swarm run
  • AGENT_ROLE: Role within the pattern (coordinator, specialist, etc.)
  • PATTERN_TYPE: Which pattern is running

Read the full file on GitHub · 75 lines

Changes

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.

  1. 1mo ago First seen · 75 lines · 11 tokens per session scan A 245ba85626ed

Subscribe to this mod's changes

agentica-spawn is a skill published in the GitHub repository vibeeval/vibecosystem (538 stars, last pushed 2mo ago), licensed MIT. It adds 11 tokens to every session and 457 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to agentica-spawn, differing in 148 lines, and is treated as a copy.