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.
git clone --depth 1 https://github.com/revaya-ai/revaya-aios-workspace-templateWrote 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/commands/revaya-ai/revaya-aios-workspace-template/explore)<a href="https://agentmods.dev/commands/revaya-ai/revaya-aios-workspace-template/explore"><img src="https://agentmods.dev/badge/commands/revaya-ai/revaya-aios-workspace-template/explore/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/revaya-ai/revaya-aios-workspace-template/explore"><img src="https://agentmods.dev/badge/commands/revaya-ai/revaya-aios-workspace-template/explore.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00000 | $0.01662 |
| Opus 5 | $0.00000 | $0.00831 |
| Sonnet 5 | $0.00000 | $0.00332 |
| Haiku 4.5 | $0.00000 | $0.00166 |
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 10d 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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Explore
Interactive exploration of a new feature, system, or capability for your workspace.
Variables
idea: $ARGUMENTS (describe the feature, system, or capability you want to explore)
Instructions
You are running an interactive exploration session. Your job is to help the user shape an idea into a clear, well-scoped concept through structured Q&A. Do NOT run through all stages autonomously — present your findings at each stage, ask questions, and wait for responses before proceeding.
Tone: Friendly and encouraging. The user may not be technical — explain concepts in plain English. Celebrate progress. If something is complex, break it down.
Output: A feature exploration doc saved to plans/explore-YYYY-MM-DD-{descriptive-name}.md
Downstream: The explore doc can be fed to /create-plan for implementation planning, or passed directly to /implement if it's clear enough to build.
Stage 1: DISCOVERY — Understand the Vision
Goal: Understand what the user wants and establish scope boundaries.
Actions:
- Read the idea/arguments provided
- Read relevant workspace context:
CLAUDE.mdfor workspace structure and existing systems- Any context files referenced in CLAUDE.md that relate to this idea
- Any existing scripts, commands, or tools that touch the same area
- Summarize your understanding of the idea in 2-3 sentences
- Ask 2-4 clarifying questions to establish:
- What problem does this solve? (What's painful or slow right now?)
- Who uses this and when? (You personally? Your team? Automatically?)
- What does "done" look like? (What should happen when this works?)
- What's explicitly out of scope? (What should this NOT do?)
STOP and wait for responses before proceeding.
Stage 2: RESEARCH — Explore What's Possible
Goal: Understand what exists, what's possible, and what constraints apply.
Actions:
- Search the workspace for relevant existing systems, commands, scripts, or patterns that relate to this idea
- If the idea involves external tools or APIs:
- Check if the workspace already has API keys configured (look at
.envor.env.example) - Research what services could help (web search if needed)
- Note what's free vs. paid
- Check if the workspace already has API keys configured (look at
- If the idea touches data, check the workspace database (if one exists) to understand what data is available
- Present findings:
- What already exists that's relevant (don't rebuild what's there)
- What options are available (with pros/cons for each)
- What constraints or dependencies you've found
- Rough complexity estimate: Simple (afternoon project) / Medium (focused session) / Large (multi-session build)
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.
- 10d ago First seen · 187 lines · 0 tokens per session scan A 87cda8ba3273
explore is a command published in the GitHub repository revaya-ai/revaya-aios-workspace-template (2 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,662 tokens. 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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