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-do)<a href="https://agentmods.dev/commands/spillwavesolutions/agent-brain/gsd-do"><img src="https://agentmods.dev/badge/commands/spillwavesolutions/agent-brain/gsd-do/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-do"><img src="https://agentmods.dev/badge/commands/spillwavesolutions/agent-brain/gsd-do.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 | $0.00011 | $0.00262 |
| Opus 5.5 | $0.00004 | $0.00105 |
| Sonnet 5.5 | $0.00002 | $0.00052 |
| Haiku 4.5 | $0.00001 | $0.00026 |
Grade A, and why
gsd-do 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
Acts as a smart dispatcher — never does the work itself. Matches intent to the best GSD command using routing rules, confirms the match, then hands off.
Use when you know what you want but don't know which /gsd-* command to run.
<execution_context> @/Users/richardhightower/clients/spillwave/src/agent-brain/.opencode/get-shit-done/workflows/do.md @/Users/richardhightower/clients/spillwave/src/agent-brain/.opencode/get-shit-done/references/ui-brand.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 · 30 lines · 11 tokens per session scan A ce448eb91199
gsd-do is a command published in the GitHub repository SpillwaveSolutions/agent-brain (119 stars, last pushed 27d ago), licensed MIT. It adds 11 tokens to every session and 262 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
os-watcher
A command for turning reminders and end-of-session blocking on or off when a background watcher is not armed.
recap
Daily or period recap via oma-recap. Resolves a date or window from natural language, invokes oma recap --json, delegates theme analysis and Markdown formatting to the skill, and reports a TL;DR plus saved path.
second-brain-mapping
Map your vault: extract structured metadata from every typed file, surface cross-doc insights, optionally build a knowledge graph.
evolve
Cluster hardened instincts into a proposed Command / Skill / Agent (Instinct Engine).
instinct-export
Export this project's instinct library to a portable YAML pack (Instinct Engine).
patterns
Scan recent sessions for recurring patterns and turn them into captures (rules, concept notes, writing seeds).