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 Abilityai/cornelius --skill search-vaultgit 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/skills/abilityai/cornelius/search-vault)<a href="https://agentmods.dev/skills/abilityai/cornelius/search-vault"><img src="https://agentmods.dev/badge/skills/abilityai/cornelius/search-vault.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 | $0.00016 | $0.00523 |
| Opus 5 | $0.00008 | $0.00262 |
| Sonnet 5 | $0.00003 | $0.00105 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade A, and why
search-vault 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quick Vault Search
Search the Obsidian vault using both semantic and keyword-based search.
Local Brain Search
Use Local Brain Search for all semantic search operations. Supports two modes:
- static: Fast vector similarity (default)
- spreading: SYNAPSE-inspired graph traversal (better for connections)
Note: Usage-based learning is active - searches are tracked and rankings improve over time.
Query
$ARGUMENTS
Instructions
-
Semantic Search - Use Local Brain Search:
# For quick lookups, use static mode resources/local-brain-search/run_search.sh "$ARGUMENTS" --limit 5 --json # For finding connections, use spreading mode resources/local-brain-search/run_search.sh "$ARGUMENTS" --mode spreading --limit 5 --json -
Keyword Search - Use
Grep:- Pattern: $ARGUMENTS
- Path:
Brain/ - Output mode: "files_with_matches" to get file list
- Then use output mode: "content" with -C flag for context
-
Retrieve Content - For the top result from semantic search:
- Use
Readtool to get full content
- Use
Output Format
# Search Results: "$ARGUMENTS"
## Semantic Matches
[Top 5 notes with similarity/activation scores]
## Keyword Matches
[Top 5 notes with context snippets from Grep]
## Top Result Content
[Full content of the most relevant note]
Keep results concise and actionable. Highlight the most relevant findings.
State Dependencies
| Source | Location | Read | Write | Description |
|---|---|---|---|---|
| Brain notes | Brain/**/*.md |
X | All vault notes for search | |
| Local Brain Search index | resources/local-brain-search/ |
X | Vector index for semantic search | |
| Memory config | resources/local-brain-search/memory_config.py |
X | Tunable memory parameters |
Completion Checklist
- Semantic search executed with top 5 results
- Keyword search executed with file matches
- Top result full content retrieved and displayed
- Results formatted and 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 · 74 lines · 16 tokens per session scan A aba3e083e2de
search-vault is a skill published in the GitHub repository Abilityai/cornelius (106 stars, last pushed 14d ago), licensed MIT. It adds 16 tokens to every session and 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 2026-09-03.
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