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/parendumou/nexora/agent_spawnnpx skills add ParendumOU/Nexora --skill agent_spawngit clone --depth 1 https://github.com/ParendumOU/NexoraWrote 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/parendumou/nexora/agent_spawn)<a href="https://agentmods.dev/skills/parendumou/nexora/agent_spawn"><img src="https://agentmods.dev/badge/skills/parendumou/nexora/agent_spawn.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 | $0.00000 | $0.00166 |
| Opus 5 | $0.00000 | $0.00083 |
| Sonnet 5 | $0.00000 | $0.00033 |
| Haiku 4.5 | $0.00000 | $0.00017 |
Grade A, and why
agent_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 3d 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.
What it actually says
Agent Spawn
Spawn specialized sub-agents → handle independent workstreams in parallel.
When to use
- Multiple independent tasks, no mutual blocking
- Specialization needed (e.g. research agent + coding agent)
- Long-running tasks must not block main conversation
Usage
- Write clear, self-contained prompt per sub-agent
- Include all context — sub-agent has no memory of parent conversation
- Wait for all sub-agents complete → synthesize results
- Handle failures gracefully — sub-agent failure must not crash parent
Example
[{"name": "task_create", "args": {"title": "Research open bugs", "description": "Find all open GitHub issues labeled 'bug' in repo X", "assigned_agent_id": "AGENT_ID"}}]
What ships with it
1 file 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.
- 3d ago First seen · 20 lines · 0 tokens per session scan A a916ae30b13e
agent_spawn is a skill published in the GitHub repository ParendumOU/Nexora (19 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 166 tokens. 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 2026-08-30.
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deep-research
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knowledge-base
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background-task
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agent-tool
Add a new tool/function the AI agent can call (e.g. look something up, hit an external API, perform an action). Use when extending the assistant's capabilities, wiring a new function into the agent, or when the model needs a new action. This project uses {{ cookiecutter.aiframework }}.