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-bm25git 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/agent-brain-bm25)<a href="https://agentmods.dev/commands/spillwavesolutions/agent-brain/agent-brain-bm25"><img src="https://agentmods.dev/badge/commands/spillwavesolutions/agent-brain/agent-brain-bm25.svg" alt="Measured on agentmods" 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 | $0.00016 | $0.01412 |
| Opus 5 | $0.00008 | $0.00706 |
| Sonnet 5 | $0.00003 | $0.00282 |
| Haiku 4.5 | $0.00002 | $0.00141 |
Grade A, and why
agent-brain-bm25 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 4d 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 — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Brain BM25 Search
Purpose
Performs BM25 (Best Matching 25) keyword search for fast, exact term matching. This mode is optimized for technical queries where you know the exact terms you're looking for.
BM25 search is ideal for:
- Error messages and codes
- Function and class names
- Configuration keys and variables
- Technical identifiers
- When speed is critical (10-50ms response)
- Offline searching (no API calls)
Usage
/agent-brain:agent-brain-bm25 <query> [--top-k <n>]
Parameters
| Parameter | Required | Default | Description |
|---|---|---|---|
| query | Yes | - | The exact search terms |
| --top-k | No | 5 | Number of results (1-20) |
When to Use BM25 vs Other Modes
| Use BM25 | Use Semantic/Hybrid Instead |
|---|---|
| "AuthenticationError" | "how does auth work" |
| "recursiveCharacterTextSplitter" | "text splitting strategies" |
| "OPENAI_API_KEY" | "API configuration" |
| "def process_document" | "document processing flow" |
| error codes, stack traces | conceptual explanations |
| exact function names | "functions that do X" |
Execution
Pre-flight Check
# Verify server is running
agent-brain status
If not running:
agent-brain start
Search Command
agent-brain query "<query>" --mode bm25 --top-k <k>
Examples
# Search for error message
agent-brain query "ConnectionRefusedError" --mode bm25
# Search for function name
agent-brain query "process_document" --mode bm25
# Search for configuration key
agent-brain query "EMBEDDING_MODEL" --mode bm25
# More results
agent-brain query "AuthenticationError" --mode bm25 --top-k 10
# Multiple terms (finds documents with all terms)
agent-brain query "OAuth client_id redirect_uri" --mode bm25
Output
Result Format
For each result, present:
- Source: File path or document name
- Score: BM25 relevance score (higher is better)
- Content: Relevant excerpt with matching terms highlighted
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.
- 4d ago First seen · 236 lines · 16 tokens per session scan A ef4d38f81b15
agent-brain-bm25 is a command published in the GitHub repository SpillwaveSolutions/agent-brain (117 stars, last pushed 4d ago), licensed MIT. It adds 16 tokens to every session and 1,412 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.
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