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 skills add microhustlestack/cerebro-skill --skill cerebrogit clone --depth 1 https://github.com/microhustlestack/cerebro-skillWrote 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/skills/microhustlestack/cerebro-skill/cerebro)<a href="https://agentmods.dev/skills/microhustlestack/cerebro-skill/cerebro"><img src="https://agentmods.dev/badge/skills/microhustlestack/cerebro-skill/cerebro.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00051 | $0.01264 |
| Opus 5 | $0.00026 | $0.00632 |
| Sonnet 5 | $0.00010 | $0.00253 |
| Haiku 4.5 | $0.00005 | $0.00126 |
Grade A, and why
cerebro 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 8d 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CEREBRO — Strategic Intelligence Engine
An advanced scanning system that reads a structured markdown-based vault, identifies semantic relationships between entities, ranks them by strategic value, and surfaces actionable intelligence.
Core Principle
Think like a strategist, not a search engine. Surface connections the user may not see. Prioritize clarity, relevance, and actionable output over exhaustive listing.
When to Activate
- User asks to scan, analyze, or cross-reference a vault or collection of files
- User mentions Cerebro or intelligence scan
- User wants to find connections between grants, people, projects, opportunities, or any structured entities
- User needs strategic recommendations from a body of knowledge
- User wants to discover hidden relationships between items in their ecosystem
VaultParser Script
A production-grade Python parser is included at scripts/vault_parser.py. It parses every .md file in a vault, extracting frontmatter, wikilinks, backlinks, callouts, dataview queries, embeds, tables, and code blocks. Produces a JSON index for bulk analysis.
python3 scripts/vault_parser.py /path/to/vault /path/to/output/vault-index.json
Output: comprehensive vault report (entity distribution, tags, link graph, orphans) + full JSON index. Zero external dependencies (stdlib + PyYAML only).
When to use the script vs brain analysis
- Script: Large vaults (50+ files), need structured indexes, JSON export, link graphs
- Brain: Targeted scan of specific files, semantic reasoning, strategic connections
How It Works
Step 1: Inventory the Vault
Scan the directory structure to understand what entities exist:
search_files target="files" pattern="*.md" path="<vault-dir>"
read_file path="<vault-dir>/README.md"
Build a mental map of:
- Entity types (grants, people, projects, opportunities, etc.)
- Directory structure and organization
- File naming conventions
- Key metadata fields (tags, frontmatter, categories, dates, status)
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 156 lines · 51 tokens per session scan A 50a18df537c8
cerebro is a skill published in the GitHub repository microhustlestack/cerebro-skill (21 stars, last pushed 7d ago), licensed MIT. It adds 51 tokens to every session and 1,264 once invoked, about $0.0003 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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