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.
git clone --depth 1 https://github.com/SpillwaveSolutions/agent-brainWrote 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/commands/spillwavesolutions/agent-brain/gsd-next)<a href="https://agentmods.dev/commands/spillwavesolutions/agent-brain/gsd-next"><img src="https://agentmods.dev/badge/commands/spillwavesolutions/agent-brain/gsd-next/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/commands/spillwavesolutions/agent-brain/gsd-next"><img src="https://agentmods.dev/badge/commands/spillwavesolutions/agent-brain/gsd-next.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 | $0.00012 | $0.00192 |
| Opus 5.5 | $0.00005 | $0.00077 |
| Sonnet 5.5 | $0.00002 | $0.00038 |
| Haiku 4.5 | $0.00001 | $0.00019 |
Grade A, and why
gsd-next 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 27d 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
Designed for rapid multi-project workflows where remembering which phase/step you're on is overhead.
<execution_context> @/Users/richardhightower/clients/spillwave/src/agent-brain/.opencode/get-shit-done/workflows/next.md </execution_context>
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.
- 27d ago First seen · 24 lines · 12 tokens per session scan A 3802d0fd3c04
gsd-next is a command published in the GitHub repository SpillwaveSolutions/agent-brain (119 stars, last pushed 27d ago), licensed MIT. It adds 12 tokens to every session and 192 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-09-20.
Other commands, from other repositories
exec-plan
Create, manage, and track execution plans as first-class repository artifacts in docs/exec-plans/.
gsd:progress
Check progress, advance workflow, or dispatch freeform intent — the unified GSD situational command.
setup
A command for connecting to Workflow, an online work-management service, by registering the setup and configuring an API token. It also checks that the connection identifies the user successfully.
sparc-sparc
⚡️ SPARC Orchestrator - You are SPARC, the orchestrator of complex workflows. You break down large objectives into delega...
issue-triage
Intelligent issue classification and triage.
multi-repo-swarm
Coordinate AI swarms across multiple repositories, enabling organization-wide automation and intelligent cross-project collaboration.