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-injectgit 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 | $0.00020 | $0.01523 |
| Opus 5 | $0.00010 | $0.00762 |
| Sonnet 5 | $0.00004 | $0.00305 |
| Haiku 4.5 | $0.00002 | $0.00152 |
Grade A, and why
agent-brain-inject 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 — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Injection
Purpose
Enrich chunk metadata during indexing using custom Python scripts or static JSON metadata. Injectors run after chunking but before embedding (Step 2.5 in the pipeline), so enriched metadata is stored alongside vectors in the index.
At least one of --script or --folder-metadata must be provided.
Usage
/agent-brain:agent-brain-inject <path> --script <script.py>
/agent-brain:agent-brain-inject <path> --folder-metadata <metadata.json>
/agent-brain:agent-brain-inject <path> --script <script.py> --folder-metadata <metadata.json>
/agent-brain:agent-brain-inject <path> --script <script.py> --dry-run
Parameters
| Parameter | Required | Default | Description |
|---|---|---|---|
| path | Yes | - | Path to documents to index |
| --script | No* | - | Python script exporting process_chunk(chunk: dict) -> dict |
| --folder-metadata | No* | - | JSON file with static key-value metadata |
| --dry-run | No | false | Validate injector against sample chunks without creating a job |
| --chunk-size | No | 512 | Target chunk size in tokens |
| --chunk-overlap | No | 50 | Overlap between chunks in tokens |
| --no-recursive | No | false | Don't scan subdirectories |
| --include-code | No | false | Include code files in indexing |
| --include-type | No | - | File type presets (e.g., python,docs) |
| --languages | No | - | Comma-separated language list for code |
| --code-strategy | No | ast_aware | Code splitting: ast_aware or text_based |
| --include-patterns | No | - | Additional glob include patterns |
| --exclude-patterns | No | - | Additional glob exclude patterns |
| --generate-summaries | No | false | Generate LLM summaries for better search |
| --force | No | false | Force re-indexing (bypass manifest) |
| --allow-external | No | false | Allow paths outside project directory |
| --json | No | false | Output results as JSON |
*At least one of --script or --folder-metadata is required.
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.
- 3d ago First seen · 193 lines · 20 tokens per session scan A 8756462f0798
agent-brain-inject is a command published in the GitHub repository SpillwaveSolutions/agent-brain (117 stars, last pushed 3d ago), licensed MIT. It adds 20 tokens to every session and 1,523 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.