Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OSnpx agentmods add skills/dds-solutions/ai-tadpole-os/tauri-proWrote 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/skills/dds-solutions/ai-tadpole-os/tauri-pro)<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/tauri-pro"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/tauri-pro/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/skills/dds-solutions/ai-tadpole-os/tauri-pro"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/tauri-pro.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 | $0.00030 | $0.00917 |
| Opus 5.5 | $0.00012 | $0.00367 |
| Sonnet 5.5 | $0.00006 | $0.00183 |
| Haiku 4.5 | $0.00003 | $0.00092 |
Grade A, and why
tauri-pro 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 9d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[!IMPORTANT] AI Context & Knowledge Heritage
- Subsystem: Agent Skills Registry / tauri-pro
- Architecture:
@docs ARCHITECTURE:Documentation- Failure Path: Desktop crashes, unhandled Rust panics in IPC commands, permission capability denial.
- Observability: Traceability via
execution/parity_guard.py([SKILL])
Tauri Desktop Architecture & IPC Engineering Protocol
Purpose: Standardize the communication contract, security boundary, and state management between the Rust core engine and the React desktop frontend. Workflow Binding: Used during
/create,/refactor, and/audit.
🎯 Progressive Disclosure & L3 Reference Index
Read REQUIRED core standards below; consult deep L3 Reference Guides on demand:
| L3 Reference Guide / Tool | Purpose | Trigger / When to Load |
|---|---|---|
references/tauri_ipc_and_security.md |
Rust #[tauri::command] invariants, typed React invoke() wrappers, capabilities schema |
Implementing desktop IPC routes or security scopes |
scripts/tauri_auditor.py |
Deterministic scanner for Rust command Result<T, E> types and unhandled panics |
Auditing Tauri command boundaries or self-test verification |
🏛️ Core Architectural Invariants
- Panic-Free Command Contracts: Every
#[tauri::command]MUST returnResult<T, E>. Never call.unwrap()or.expect()inside a command handler, as panics terminate the desktop process. - Asynchronous Command Execution: Long-running operations must be
async fnand leverage Tokio tasks to avoid locking the desktop main UI thread. - Payload Sanitization & Envelopes: Always pass serializable JSON structs with
serde::Serializeandserde::Deserialize. - Clean Event Teardowns: In React components, always unsubscribe from Tauri event listeners (
listen()) insideuseEffectcleanup callbacks.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 73 lines · 30 tokens per session scan A e5dfcdfc06ba
tauri-pro is a skill published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed 5d ago), licensed MIT. It adds 30 tokens to every session and 917 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-18.
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