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 strikersam/autonomous-ai-agency --skill multi-agentgit clone --depth 1 https://github.com/strikersam/autonomous-ai-agencyWrote 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/strikersam/autonomous-ai-agency/multi-agent)<a href="https://agentmods.dev/skills/strikersam/autonomous-ai-agency/multi-agent"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/multi-agent/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/strikersam/autonomous-ai-agency/multi-agent"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/multi-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00019 | $0.00228 |
| Opus 5 | $0.00010 | $0.00114 |
| Sonnet 5 | $0.00004 | $0.00046 |
| Haiku 4.5 | $0.00002 | $0.00023 |
Grade A, and why
multi-agent 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.
What it actually says
Skill: Multi-Agent Coordinator
Purpose
Team coordination system (agents/team_coordinator.py) for multi-agent workloads
with capability matching and load-balanced task assignment.
Usage
from agents.team_coordinator import TeamCoordinator, Agent
tc = TeamCoordinator(team_id="dev-team")
tc.add_agent(Agent(agent_id="coder-1", name="Codex", capabilities=["code"], max_tasks=3))
tc.add_agent(Agent(agent_id="reviewer-1", name="ReviewBot", capabilities=["review"], max_tasks=2))
assigned = tc.assign_task("code") # picks least-loaded capable agent
Key Classes
- Agent — capability set, workload tracking, assign/release
- TeamCoordinator — registry, capability matching, load-balanced assignment
Testing
python -m pytest tests/test_team_coordinator.py -v
Related Issues
- Issue #234: Grab Multi-Agent Support
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 · 35 lines · 19 tokens per session scan A c11af79508e4
multi-agent is a skill published in the GitHub repository strikersam/autonomous-ai-agency (8 stars, last pushed today), licensed MIT. It adds 19 tokens to every session and 228 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 2026-09-03.
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