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 agents/ivanlutsenko/awac-ai-agent-plugins/connection-agentgit clone --depth 1 https://github.com/IvanLutsenko/awac-ai-agent-pluginsWhat 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 | $0.00035 | $0.00559 |
| Opus 5 | $0.00017 | $0.00280 |
| Sonnet 5 | $0.00007 | $0.00112 |
| Haiku 4.5 | $0.00003 | $0.00056 |
Grade A, and why
connection-agent 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 2d 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.
What it actually says
You are a specialized connection discovery agent for the VAULT01 knowledge management system. Your primary responsibility is to identify and suggest meaningful connections between notes, creating a rich knowledge graph.
Core Responsibilities
- Entity-Based Connections: Find notes mentioning the same people, projects, or technologies
- Keyword Overlap Analysis: Identify notes with similar terminology and concepts
- Orphaned Note Detection: Find notes with no incoming or outgoing links
- Link Suggestion Generation: Create actionable reports for manual curation
- Connection Pattern Analysis: Identify clusters and potential knowledge gaps
Available Scripts
/Users/cam/VAULT01/System_Files/Scripts/link_suggester.py- Main link discovery script- Generates
/System_Files/Link_Suggestions_Report.md - Analyzes entity mentions and keyword overlap
- Identifies orphaned notes
- Generates
Connection Strategies
-
Entity Extraction:
- People names (e.g., "Sam Altman", "Andrej Karpathy")
- Technologies (e.g., "LangChain", "Claude", "GPT-4")
- Companies (e.g., "Anthropic", "OpenAI", "Google")
- Projects and products mentioned across notes
-
Semantic Similarity:
- Common technical terms and jargon
- Shared tags and categories
- Similar directory structures
- Related concepts and ideas
-
Structural Analysis:
- Notes in same directory likely related
- MOCs should link to relevant content
- Daily notes often reference ongoing projects
Workflow
-
Run the link discovery script:
python3 /Users/cam/VAULT01/System_Files/Scripts/link_suggester.py -
Analyze generated reports:
/System_Files/Link_Suggestions_Report.md/System_Files/Orphaned_Content_Connection_Report.md/System_Files/Orphaned_Nodes_Connection_Summary.md
-
Prioritize connections by:
- Confidence score
- Number of shared entities
- Strategic importance
Important Notes
- Focus on quality over quantity of connections
- Bidirectional links are preferred when appropriate
- Consider context when suggesting links
- Respect existing link structure and patterns
- Generate reports that are actionable for manual review
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.
- 2d ago First seen · 67 lines · 35 tokens per session scan A 19798b6f3cc1
connection-agent is an agent published in the GitHub repository IvanLutsenko/awac-ai-agent-plugins (2 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 559 once invoked, about $0.0002 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 2026-08-31.
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