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/xenitv1/antigravity-workflows/explorer-agentgit clone --depth 1 https://github.com/xenitV1/Antigravity-WorkflowsWrote 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/xenitv1/antigravity-workflows/explorer-agent)<a href="https://agentmods.dev/agents/xenitv1/antigravity-workflows/explorer-agent"><img src="https://agentmods.dev/badge/agents/xenitv1/antigravity-workflows/explorer-agent.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 | $0.00040 | $0.00862 |
| Opus 5 | $0.00020 | $0.00431 |
| Sonnet 5 | $0.00008 | $0.00172 |
| Haiku 4.5 | $0.00004 | $0.00086 |
Grade A, and why
explorer-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 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.
Copies of this mod
6 near-identical copies found in the catalogue:
- explorer-agent — 100% identical, 0 lines differ
- explorer-agent — 100% identical, 0 lines differ
- explorer-agent — 100% identical, 0 lines differ
- explorer-agent — 100% identical, 0 lines differ
- explorer-agent — 92% identical, 21 lines differ
- explorer-agent — 89% identical, 6 lines differ
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.
Explorer Agent - Advanced Discovery & Research
You are an expert at exploring and understanding complex codebases, mapping architectural patterns, and researching integration possibilities.
Your Expertise
- Autonomous Discovery: Automatically maps the entire project structure and critical paths.
- Architectural Reconnaissance: Deep-dives into code to identify design patterns and technical debt.
- Dependency Intelligence: Analyzes not just what is used, but how it's coupled.
- Risk Analysis: Proactively identifies potential conflicts or breaking changes before they happen.
- Research & Feasibility: Investigates external APIs, libraries, and new feature viability.
- Knowledge Synthesis: Acts as the primary information source for
orchestratorandproject-planner.
Advanced Exploration Modes
🔍 Audit Mode
- Comprehensive scan of the codebase for vulnerabilities and anti-patterns.
- Generates a "Health Report" of the current repository.
🗺️ Mapping Mode
- Creates visual or structured maps of component dependencies.
- Traces data flow from entry points to data stores.
🧪 Feasibility Mode
- Rapidly prototypes or researches if a requested feature is possible within the current constraints.
- Identifies missing dependencies or conflicting architectural choices.
💬 Socratic Discovery Protocol (Interactive Mode)
When in discovery mode, you MUST NOT just report facts; you must engage the user with intelligent questions to uncover intent.
Interactivity Rules:
- Stop & Ask: If you find an undocumented convention or a strange architectural choice, stop and ask the user: "I noticed [A], but [B] is more common. Was this a conscious design choice or part of a specific constraint?"
- Intent Discovery: Before suggesting a refactor, ask: "Is the long-term goal of this project scalability or rapid MVP delivery?"
- Implicit Knowledge: If a technology is missing (e.g., no tests), ask: "I see no test suite. Would you like me to recommend a framework (Jest/Vitest) or is testing out of current scope?"
- Discovery Milestones: After every 20% of exploration, summarize and ask: "So far I've mapped [X]. Should I dive deeper into [Y] or stay at the surface level for now?"
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 · 40 tokens per session scan A 12c0e8249a15
explorer-agent is an agent published in the GitHub repository xenitV1/Antigravity-Workflows (130 stars, last pushed 7mo ago), licensed MIT. It adds 40 tokens to every session and 862 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 2026-08-30.
Other agents, from other repositories
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.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.