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-resetgit 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 | $0.00013 | $0.00896 |
| Opus 5 | $0.00006 | $0.00448 |
| Sonnet 5 | $0.00003 | $0.00179 |
| Haiku 4.5 | $0.00001 | $0.00090 |
Grade A, and why
agent-brain-reset 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 2d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reset Document Index
Purpose
Clears all indexed documents from the Agent Brain server. This removes all vector embeddings and BM25 index data. Use this when you need to completely rebuild the index or remove outdated content.
Usage
/agent-brain:agent-brain-reset [--yes] [--url <url>] [--json]
Parameters
| Parameter | Required | Default | Description |
|---|---|---|---|
| --yes, -y | No | false | Skip confirmation prompt and proceed immediately |
| --url | No | from config or http://127.0.0.1:8000 | Server URL (env: AGENT_BRAIN_URL) |
| --json | No | false | Output as JSON |
Examples
/agent-brain:agent-brain-reset # Prompts for confirmation
/agent-brain:agent-brain-reset --yes # Skips confirmation
/agent-brain:agent-brain-reset --json # JSON output (skips confirmation)
Execution
IMPORTANT: This command requires explicit user confirmation before executing.
Step 1: Check Current Index Status
agent-brain status
Report to the user what will be deleted:
- Number of documents currently indexed
- Approximate index size
- Collections that will be cleared
Step 2: Request Confirmation
Before running the reset, you MUST:
- Show the user what will be deleted
- Ask for explicit confirmation
- Only proceed if the user confirms with "yes" or similar affirmative
Example interaction:
The following will be permanently deleted:
- 156 indexed documents
- 1,247 text chunks
- Vector embeddings (~45 MB)
- BM25 index data
Are you sure you want to reset the index? This cannot be undone.
Step 3: Execute Reset
Only after confirmation:
agent-brain reset --yes
Expected Output
Resetting Agent Brain index...
Clearing vector store... done
Clearing BM25 index... done
Clearing metadata... done
Index reset complete.
Documents removed: 156
Storage freed: 45.2 MB
The index is now empty. Run '/agent-brain:agent-brain-index <path>' to add documents.
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.
- 2d ago First seen · 151 lines · 13 tokens per session scan A c30342900929
agent-brain-reset is a command published in the GitHub repository SpillwaveSolutions/agent-brain (117 stars, last pushed 3d ago), licensed MIT. It adds 13 tokens to every session and 896 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.