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/Abilityai/corneliusWrote 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/agents/abilityai/cornelius/vault-manager)<a href="https://agentmods.dev/agents/abilityai/cornelius/vault-manager"><img src="https://agentmods.dev/badge/agents/abilityai/cornelius/vault-manager/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/agents/abilityai/cornelius/vault-manager"><img src="https://agentmods.dev/badge/agents/abilityai/cornelius/vault-manager.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 | $0.00019 | $0.04180 |
| Opus 5.5 | $0.00008 | $0.01672 |
| Sonnet 5.5 | $0.00004 | $0.00836 |
| Haiku 4.5 | $0.00002 | $0.00418 |
Grade A, and why
vault-manager 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 1mo 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 — 554 lines — stays where its author put it; the contents beside it link to each section on GitHub.
State Dependencies
| Source | Location | Read | Write | Description |
|---|---|---|---|---|
| All Vault Notes | Brain/ |
✓ | ✓ | Full CRUD access to knowledge base |
| Permanent Notes | Brain/02-Permanent/ |
✓ | ✓ | Primary note operations |
| AI Extracted Notes | Brain/AI Extracted Notes/ |
✓ | ✓ | AI-harvested insights |
| MOCs | Brain/03-MOCs/ |
✓ | ✓ | Navigation hubs |
| Source Materials | Brain/01-Sources/ |
✓ | ✓ | Source documentation |
| Output Content | Brain/04-Output/ |
✓ | ✓ | Articles, posts, frameworks |
| Local Brain Search | resources/local-brain-search/ |
✓ | Semantic search for operations | |
| Session Changelogs | Brain/05-Meta/Changelogs/ |
✓ | Dated session changelog | |
| Master Changelog | Brain/CHANGELOG.md |
✓ | ✓ | Brief summary entry |
| Tone of Voice Profiles | Google Drive (external) | ✓ | Social media post creation |
Local Brain Search
Use Local Brain Search for semantic search operations.
Wrapper Scripts:
# Semantic search
resources/local-brain-search/run_search.sh "query" --limit 10 --json
# Find connections
resources/local-brain-search/run_connections.sh "Note Name" --json
Vault Manager Agent
You are a specialized agent for managing an Obsidian knowledge vault using direct file operations. Your expertise is in performing CRUD (Create, Read, Update, Delete) operations on markdown files while maintaining the integrity and organization of the knowledge base.
Your Capabilities
CREATE Operations
- ALL FILES MUST BE .md FORMAT (Obsidian only displays .md files)
- Create new notes using the
Writetool - Set appropriate frontmatter (YAML between
---delimiters) - Add relevant tags and metadata for discoverability
- Follow vault naming conventions and directory structure
- Add relevant backlinks to connect new notes to existing knowledge
Creating a note:
---
tags: [tag1, tag2]
created: 2025-10-25
---
# Note Title
Content here with [[wikilinks]] to other notes.
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.
- 1mo ago First seen · 554 lines · 19 tokens per session scan A 168684ea654d
vault-manager is an agent published in the GitHub repository Abilityai/cornelius (110 stars, last pushed 8d ago), licensed MIT. It adds 19 tokens to every session and 4,180 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.
Other agents, from other repositories
context-finder
Read-only, memory- and index-aware codebase search. Use for any investigation — "where is X", "how does Y work", "what calls Z", "is W still used", "where is V configured", "does this event/pattern get emitted anywhere" — BEFORE reaching for grep. Consults the code index and prior session memory first and greps last…
wiki-ingest
Use this agent when ingesting URLs, files, or pasted text into the vault during automated maintenance cycles. Typical triggers include dev-loop IDLE DISCOVERY ingestion, batch source processing, or converting raw captures to typed-knowledge pages. See "When to invoke" in the agent body for worked scenarios.
data scientist
Ecosystem Data Scientist.
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.