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/davidmigloz/ai_clients_dartnpx agentmods add skills/davidmigloz/ai_clients_dart/websocket-googleaiWrote 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/davidmigloz/ai_clients_dart/websocket-googleai)<a href="https://agentmods.dev/skills/davidmigloz/ai_clients_dart/websocket-googleai"><img src="https://agentmods.dev/badge/skills/davidmigloz/ai_clients_dart/websocket-googleai/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/davidmigloz/ai_clients_dart/websocket-googleai"><img src="https://agentmods.dev/badge/skills/davidmigloz/ai_clients_dart/websocket-googleai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00033 | $0.00462 |
| Opus 5 | $0.00016 | $0.00231 |
| Sonnet 5 | $0.00007 | $0.00092 |
| Haiku 4.5 | $0.00003 | $0.00046 |
Grade A, and why
websocket-googleai 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.
What it actually says
Google AI WebSocket Workflow
Prerequisites
- Auth: No auth env vars required for fetch/review; runtime WebSocket usage still uses Google AI credentials.
- CLI:
python3 .agents/shared/api-toolkit/scripts/api_toolkit.py - Existing-package commands: run the repo-relative examples from the repository root. If you run them elsewhere, invoke the script via an absolute path and pass an absolute
--config-dir.
Workflow
- Fetch:
python3 .agents/shared/api-toolkit/scripts/api_toolkit.py fetch --config-dir packages/googleai_dart/.agents/skills/websocket-googleai/config
Fetch writes the candidate spec to the configured output_dir as latest-<spec>.json.
2. Review:
python3 .agents/shared/api-toolkit/scripts/api_toolkit.py review --config-dir packages/googleai_dart/.agents/skills/websocket-googleai/config
- Implement with
scaffoldplus the package references, then promote the reviewed candidate fromoutput_dir/latest-<spec>.jsonintopackages/googleai_dart/specs/before final verification. - Verify:
python3 .agents/shared/api-toolkit/scripts/api_toolkit.py verify --config-dir packages/googleai_dart/.agents/skills/websocket-googleai/config --checks all --scope all
Specs
| Spec | Description |
|---|---|
live |
Real-time bidirectional audio/video streaming via WebSocket |
Package References
- references/package-guide.md
- references/implementation-patterns.md
- references/REVIEW_CHECKLIST.md
- references/live-api-schema.md
Separate Dart Quality Steps
cd packages/googleai_dart
dart analyze --fatal-infos
dart format --set-exit-if-changed .
dart test test/unit/
What ships with it
9 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.
- 10d ago First seen · 52 lines · 33 tokens per session scan A 23d00faadae1
websocket-googleai is a skill published in the GitHub repository davidmigloz/ai_clients_dart (24 stars, last pushed 2d ago), licensed MIT. It adds 33 tokens to every session and 462 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 skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…