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 commands/spillwavesolutions/agent-brain/agent-brain-summarizergit clone --depth 1 https://github.com/SpillwaveSolutions/agent-brainWhat 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 | $0.00015 | $0.01705 |
| Opus 5 | $0.00008 | $0.00852 |
| Sonnet 5 | $0.00003 | $0.00341 |
| Haiku 4.5 | $0.00002 | $0.00170 |
Grade A, and why
agent-brain-summarizer 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 3d 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 — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Brain Summarizer Configuration
Purpose
Configures the summarization provider used during document indexing. Summarization generates concise descriptions of code and documents to improve search relevance.
Usage
/agent-brain:agent-brain-summarizer [provider] [--model <model>]
Parameters
| Parameter | Required | Default | Description |
|---|---|---|---|
| provider | No | - | Provider: anthropic, openai, gemini, grok, ollama |
| --model | No | Provider default | Specific model to use |
Available Providers
Anthropic
High-quality code-aware summarization.
| Model | Speed | Use Case |
|---|---|---|
| claude-haiku-4-5-20251001 | Fast | Cost-effective, good quality |
| claude-sonnet-4-5-20250514 | Medium | Balanced quality/speed |
| claude-opus-4-5-20251101 | Slower | Highest quality |
Configuration:
export SUMMARIZATION_PROVIDER=anthropic
export SUMMARIZATION_MODEL=claude-haiku-4-5-20251001
export ANTHROPIC_API_KEY=sk-ant-...
OpenAI
Versatile summarization with good code understanding.
| Model | Speed | Use Case |
|---|---|---|
| gpt-5-mini | Fast | Cost-effective |
| gpt-5 | Medium | High quality |
Configuration:
export SUMMARIZATION_PROVIDER=openai
export SUMMARIZATION_MODEL=gpt-5-mini
export OPENAI_API_KEY=sk-proj-...
Gemini
Google's models with large context windows.
| Model | Speed | Use Case |
|---|---|---|
| gemini-3-flash | Fast | Cost-effective |
| gemini-3-pro | Medium | Higher quality |
Configuration:
export SUMMARIZATION_PROVIDER=gemini
export SUMMARIZATION_MODEL=gemini-3-flash
export GOOGLE_API_KEY=...
Grok
xAI's conversational model.
| Model | Speed | Use Case |
|---|---|---|
| grok-4 | Medium | General use |
Configuration:
export SUMMARIZATION_PROVIDER=grok
export SUMMARIZATION_MODEL=grok-4
export XAI_API_KEY=...
Ollama (Local)
Privacy-first local summarization.
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.
- 3d ago First seen · 268 lines · 15 tokens per session scan A fff2006a9f7c
agent-brain-summarizer is a command published in the GitHub repository SpillwaveSolutions/agent-brain (117 stars, last pushed 3d ago), licensed MIT. It adds 15 tokens to every session and 1,705 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 2026-08-30.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.