Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/skills/agentsope/skillalchemy/agentsop-agent-topology-selection)<a href="https://agentmods.dev/skills/agentsope/skillalchemy/agentsop-agent-topology-selection"><img src="https://agentmods.dev/badge/skills/agentsope/skillalchemy/agentsop-agent-topology-selection/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/agentsope/skillalchemy/agentsop-agent-topology-selection"><img src="https://agentmods.dev/badge/skills/agentsope/skillalchemy/agentsop-agent-topology-selection.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00141 | $0.04853 |
| Opus 5 | $0.00071 | $0.02426 |
| Sonnet 5 | $0.00028 | $0.00971 |
| Haiku 4.5 | $0.00014 | $0.00485 |
Grade A, and why
agentsop-agent-topology-selection 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 9d 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 — 353 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Agent Topology Selection · SOP (ENHANCE overlay)
Overlay posture: this skill decides whether and which topology. It does not teach the API — descend to
[[crewai]]or[[agentsop-langgraph]]for that. Every load-bearing claim carries an inline source tag resolving inreferences/R1-source-evidence.md.
1. 何时激活 (When to Activate)
Activate when any of the following fire:
- The task description contains "team of agents", "researcher + writer + reviewer", "manager agent", "agents that hand off", "split this into roles", or "multi-agent".
- A coder agent is about to instantiate ≥2 agents (CrewAI
Agent(...)× N, LangGraph supervisor/swarm, OpenAI Swarm handoffs) and has not yet justified why a single agent with tools is insufficient. - Someone is choosing between CrewAI
Process.sequentialvsProcess.hierarchical, or LangGraph supervisor vs swarm vs hierarchical-teams, and wants the rubric, not the syntax. - A multi-agent system is over budget on tokens/latency and the question is "can we collapse agents back into one?".
Do not activate for: a single LLM call, a one-shot RAG query, or a fixed tool-call pipeline with no role separation. Those are the single-agent baseline this skill defends.
Mental check: "An agent needs agency, otherwise it's just another script." — João Moura, CrewAI founder
[[crewai · §1.3]]. If you can write the control flow inif/else, you do not need multiple agents — you need one agent (or a graph) with explicit edges.
2. 核心心智模型 (Core Mental Model)
Most "multi-agent" problems are single-agent + tools. Add agents only when context isolation or parallel expertise genuinely demands it.
"Single-agent is right for approximately 80% of cases; the trap is reaching for multi-agent because it sounds more capable."
[[crewai · DC-1]]
Two — and only two — forces justify a second agent:
- Context isolation. One agent's working context would pollute another's (a critic that must not see its own draft's rationalisations; a tool-heavy sub-task whose 40 intermediate tool calls should not bloat the main thread). Splitting gives each agent a clean, bounded prompt.
- Parallel expertise. Two genuinely different skills run concurrently or in
strict sequence (research → write → review), where a single prompt provably
cannot hold both jobs without quality collapse
[[crewai · DC-1]].
What ships with it
3 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.
- 9d ago First seen · 353 lines · 141 tokens per session scan A d350a1d47b10
agentsop-agent-topology-selection is a skill published in the GitHub repository agentsope/SkillAlchemy (377 stars, last pushed 7d ago), licensed MIT. It adds 141 tokens to every session and 4,853 once invoked, about $0.0007 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 2026-08-30.
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