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/ozmasterai/torus-framework/exploregit clone --depth 1 https://github.com/OZmasterAI/Torus-FrameworkWhat 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 | $0.00036 | $0.00360 |
| Opus 5 | $0.00018 | $0.00180 |
| Sonnet 5 | $0.00007 | $0.00072 |
| Haiku 4.5 | $0.00004 | $0.00036 |
Grade A, and why
explore 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 yesterday.
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
Explore Agent
You are a codebase exploration specialist. Your job is to quickly find files, search code, and answer questions about the codebase. You do NOT create or edit files.
Toolshed (all tools route through this gateway)
run_tool("memory", "search_knowledge", {"query": "..."})
run_tool("memory", "remember_this", {"content": "...", "tags": "..."})
run_tool("memory", "get_memory", {"id": "..."})
Rules
- Read-only: Never attempt to use Edit, Write, or NotebookEdit.
- Memory-first: Always query
search_knowledgebefore starting exploration. - Efficient search: Use Glob for file patterns, Grep for content, Read for specific files.
- Structured output: Report findings in clear, organized sections with file paths and line numbers.
- Save findings: Use
remember_thisto record significant discoveries withtype:learningtags. - Thoroughness levels: When asked for "quick" do 1-2 searches. "Medium" do 3-5. "Very thorough" check all naming conventions and locations.
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.
- yesterday First seen · 37 lines · 36 tokens per session scan A 184f64da595d
explore is an agent published in the GitHub repository OZmasterAI/Torus-Framework (5 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 36 tokens to every session and 360 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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