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/agent-brain-search)<a href="https://agentmods.dev/commands/spillwavesolutions/agent-brain/agent-brain-search"><img src="https://agentmods.dev/badge/commands/spillwavesolutions/agent-brain/agent-brain-search/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/agent-brain-search"><img src="https://agentmods.dev/badge/commands/spillwavesolutions/agent-brain/agent-brain-search.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 | $0.00015 | $0.01569 |
| Opus 5.5 | $0.00006 | $0.00628 |
| Sonnet 5.5 | $0.00003 | $0.00314 |
| Haiku 4.5 | $0.00002 | $0.00157 |
Grade A, and why
agent-brain-search 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 2mo 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 — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Brain Hybrid Search
Purpose
Performs hybrid search combining BM25 keyword matching with semantic vector similarity. This is the default and recommended search mode as it balances exact term matching with conceptual understanding.
Hybrid search is ideal for:
- General documentation queries
- When you need both precise term matching and conceptual relevance
- Comprehensive search results across different document types
Usage
/agent-brain:agent-brain-search <query> [--top-k <n>] [--threshold <t>] [--alpha <a>]
Parameters
| Parameter | Required | Default | Description |
|---|---|---|---|
| query | Yes | - | The search query text |
| --top-k, -k | No | 5 | Number of results (1-20) |
| --threshold, -t | No | 0.3 | Minimum relevance score (0.0-1.0) |
| --alpha, -a | No | 0.5 | Hybrid blend factor |
| --source-types | No | - | Filter by source type (doc,code,test) |
| --languages | No | - | Filter by programming language |
| --file-paths | No | - | Filter by file path patterns (wildcards supported) |
| --scores | No | false | Show individual vector/BM25 scores |
| --full | No | false | Show full text content (not truncated) |
| --json | No | false | Output as JSON |
| --url | No | from config | Server URL (env: AGENT_BRAIN_URL) |
Alpha Tuning
The --alpha parameter controls the balance between vector and BM25:
alpha = 1.0: 100% semantic (pure vector search)alpha = 0.7: 70% semantic, 30% keyword (favor meaning)alpha = 0.5: 50% each (balanced - default)alpha = 0.3: 30% semantic, 70% keyword (favor exact terms)alpha = 0.0: 100% keyword (pure BM25)
Execution
Pre-flight Check
Before executing the search, verify the server is running:
agent-brain status
If the server is not running, start it first:
agent-brain start
Search Command
agent-brain query "<query>" --mode hybrid --top-k <top-k> --threshold <threshold> --alpha <alpha>
Examples
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.
- 2mo ago First seen · 233 lines · 15 tokens per session scan A 88f593cca5b5
agent-brain-search is a command published in the GitHub repository SpillwaveSolutions/agent-brain (119 stars, last pushed 1mo ago), licensed MIT. It adds 15 tokens to every session and 1,569 once invoked, about $0.0001 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 2026-08-30.
agent-brain-search compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agent-brain-searchSpillwaveSolutions/agent-brain | Command | 119 | 1mo ago | MIT | A | 15 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |