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/anamized/superagenticmcp/multi-agent-workflownpx skills add ANAMIZED/SuperAgenticMCP --skill multi-agent-workflowgit clone --depth 1 https://github.com/ANAMIZED/SuperAgenticMCPWrote 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/anamized/superagenticmcp/multi-agent-workflow)<a href="https://agentmods.dev/skills/anamized/superagenticmcp/multi-agent-workflow"><img src="https://agentmods.dev/badge/skills/anamized/superagenticmcp/multi-agent-workflow.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 | $0.00032 | $0.00159 |
| Opus 5 | $0.00016 | $0.00079 |
| Sonnet 5 | $0.00006 | $0.00032 |
| Haiku 4.5 | $0.00003 | $0.00016 |
Grade A, and why
multi-agent-workflow 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 4d 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
Multi-Agent Workflow Skill
Workflow
- Planner decomposes the order into steps with capability requirements.
- Workers execute in parallel where the DAG allows.
- Critic validates before shipping the receipt.
Rules
- Respect per-run call budgets and per-server allow-lists.
- Emit JSONL for every step (board + memory scope).
- Fail closed if a required capability is offline.
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.
- 4d ago First seen · 24 lines · 32 tokens per session scan A b1e189ba3d51
multi-agent-workflow is a skill published in the GitHub repository ANAMIZED/SuperAgenticMCP (1 stars, last pushed 8d ago), licensed Apache-2.0. It adds 32 tokens to every session and 159 once invoked, about $0.0002 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.
Other skills, from other repositories
multi-agent-workflow
Create and run multi-agent workflows on Server OS.
multi-agent-workflow
Orchestrate sequential multi-agent workflows under a shared budget on OpenMesha. Use when a goal needs planner/researcher/worker roles or council-style decomposition.
repo-bootstrap
Automate full ANAMIZED product repo structure (Server OS parity) including USDC, Stripe, badges, CI, skills, AGENTS.md.
cost-control
Enforce and inspect token/dollar budgets for Server OS agents. Use when the user asks about agent spend, budgets, cost ledgers, or wants to prevent runaway token usage.
governance-audit
Inspect Server OS policy decisions, capability grants, and the audit log.
deploy-verify
Deploy Server OS and run the official end-to-end verification suite.