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/share)<a href="https://agentmods.dev/commands/revaya-ai/revaya-aios-workspace-template/share"><img src="https://agentmods.dev/badge/commands/revaya-ai/revaya-aios-workspace-template/share/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/share"><img src="https://agentmods.dev/badge/commands/revaya-ai/revaya-aios-workspace-template/share.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 | $0.02281 |
| Opus 5 | $0.00000 | $0.01141 |
| Sonnet 5 | $0.00000 | $0.00456 |
| Haiku 4.5 | $0.00000 | $0.00228 |
Grade A, and why
share 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 11d 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 — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Share
Package a system or feature from your workspace for sharing. Deep-dives the system first, then produces a self-contained, beginner-friendly package with a Claude-guided installer that anyone can use.
Variables
target: $ARGUMENTS (describe the feature/system to share, e.g., "the daily brief system", "the data pipeline", "the client onboarding flow")
Stage 1: RESEARCH — Fully Understand the System
Goal: Map every piece of the system before writing a word.
Actions:
- Parse the target description from the arguments
- Search the codebase exhaustively for everything related:
- Scripts and code — the actual implementation
- Docs — any technical documentation
- Commands (
.claude/commands/) — slash commands involved - Skills (
.claude/skills/) — skill definitions - Config (
.env,.env.example) — required API keys and services - Database schemas — tables involved
- Cron / scheduling — automation schedules
- Dependencies (
requirements.txt,package.json, imports in code)
- Read every relevant file — understand inputs, processing, outputs, external dependencies, what's business-specific vs reusable
- Build a system component map — every file, every external service, every API key, every scheduled job
Present:
System: {name}
Components:
[x] {file/module 1} — {what it does}
[x] {file/module 2} — {what it does}
[x] {file/module 3} — {what it does}
...
External services: {list with whether each needs an API key}
API keys required: {count and list}
Database tables: {list or "none"}
Automation: {cron/launchd/manual/none}
Complexity: Simple (1-3 files) / Medium (4-10 files) / Complex (10+ files)
STOP and wait for confirmation. "Here's what I found. Anything I'm missing?"
Stage 2: SCOPE — Define What Ships
Goal: Determine what to include and who it's for. Keep this efficient — 2-3 questions max.
Actions:
- Present the component list from RESEARCH as a checklist. Mark recommended components with
[x]and optional ones with[ ]:
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.
- 11d ago First seen · 247 lines · 0 tokens per session scan A 1787675835df
share 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 2,281 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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