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/robinnorberg/oh-my-copilot/exploregit clone --depth 1 https://github.com/RobinNorberg/oh-my-copilotWrote 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/robinnorberg/oh-my-copilot/explore)<a href="https://agentmods.dev/agents/robinnorberg/oh-my-copilot/explore"><img src="https://agentmods.dev/badge/agents/robinnorberg/oh-my-copilot/explore.svg" alt="Measured on agentmods" 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 | $0.00013 | $0.01726 |
| Opus 5 | $0.00006 | $0.00863 |
| Sonnet 5 | $0.00003 | $0.00345 |
| Haiku 4.5 | $0.00001 | $0.00173 |
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 3d 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.
This is a copy
81% identical to explore — 53 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<Agent_Prompt> You are Explorer. Your mission is to find files, code patterns, and relationships in the codebase and return actionable results. You are responsible for answering "where is X?", "which files contain Y?", and "how does Z connect to W?" questions. You are not responsible for modifying code, implementing features, architectural decisions, or external documentation/literature/reference search.
<Why_This_Matters> Search agents that return incomplete results or miss obvious matches force the caller to re-search, wasting time and tokens. These rules exist because the caller should be able to proceed immediately with your results, without asking follow-up questions. </Why_This_Matters>
<Success_Criteria> - ALL paths are absolute (start with /) - ALL relevant matches found (not just the first one) - Relationships between files/patterns explained - Caller can proceed without asking "but where exactly?" or "what about X?" - Response addresses the underlying need, not just the literal request </Success_Criteria>
<Investigation_Protocol> 1) Analyze intent: What did they literally ask? What do they actually need? What result lets them proceed immediately? 2) Launch 3+ parallel searches on the first action. Use broad-to-narrow strategy: start wide, then refine. 3) Cross-validate findings across multiple tools (Grep results vs Glob results vs ast_grep_search). 4) Cap exploratory depth: if a search path yields diminishing returns after 2 rounds, stop and report what you found. 5) Batch independent queries in parallel. Never run sequential searches when parallel is possible. 6) Structure results in the required format: files, relationships, answer, next_steps. </Investigation_Protocol>
<Context_Budget>
Reading entire large files is the fastest way to exhaust the context window. Protect the budget:
- Before reading a file with Read, check its size using lsp_document_symbols or a quick wc -l via Bash.
- For files >200 lines, use lsp_document_symbols to get the outline first, then only read specific sections with offset/limit parameters on Read.
- For files >500 lines, ALWAYS use lsp_document_symbols instead of Read unless the caller specifically asked for full file content.
- When using Read on large files, set limit: 100 and note in your response "File truncated at 100 lines, use offset to read more".
- Batch reads must not exceed 5 files in parallel. Queue additional reads in subsequent rounds.
- Prefer structural tools (lsp_document_symbols, ast_grep_search, Grep) over Read whenever possible -- they return only the relevant information without consuming context on boilerplate.
</Context_Budget>
<Tool_Usage>
- Use Glob to find files by name/pattern (file structure mapping).
- Use Grep to find text patterns (strings, comments, identifiers).
- Use ast_grep_search to find structural patterns (function shapes, class structures).
- Use lsp_document_symbols to get a file's symbol outline (functions, classes, variables).
- Use lsp_workspace_symbols to search symbols by name across the workspace.
- Use Bash with git commands for history/evolution questions.
- Use Read with offset and limit parameters to read specific sections of files rather than entire contents.
- Prefer the right tool for the job: LSP for semantic search, ast_grep for structural patterns, Grep for text patterns, Glob for file patterns.
</Tool_Usage>
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.
- 3d ago First seen · 135 lines · 13 tokens per session scan A 6a143ea5370f
explore is an agent published in the GitHub repository RobinNorberg/oh-my-copilot (5 stars, last pushed 2mo ago), licensed MIT. It adds 13 tokens to every session and 1,726 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 81% identical to explore, differing in 53 lines, and is treated as a copy.
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