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 skills add VimCommando/datastar-skills --skill datastargit clone --depth 1 https://github.com/VimCommando/datastar-skillsWrote 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/vimcommando/datastar-skills/datastar)<a href="https://agentmods.dev/skills/vimcommando/datastar-skills/datastar"><img src="https://agentmods.dev/badge/skills/vimcommando/datastar-skills/datastar/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/vimcommando/datastar-skills/datastar"><img src="https://agentmods.dev/badge/skills/vimcommando/datastar-skills/datastar.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 | $0.00080 | $0.01377 |
| Opus 5.5 | $0.00032 | $0.00551 |
| Sonnet 5.5 | $0.00016 | $0.00275 |
| Haiku 4.5 | $0.00008 | $0.00138 |
Grade A, and why
datastar 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 2mo 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Datastar Skill
Use this skill as the primary guide for Datastar architecture and backend-driven UI decisions.
Agent default: after selecting this skill, load only the references needed for the task.
- Frontend attribute usage, signal syntax, event modifiers, and action examples: load
references/frontend.md. - Go backend: load
references/go.md. - Rust backend: load
references/rust.md. - TypeScript backend: load
references/typescript.md. - Another backend language: load the matching reference file when available.
Datastar Tao
Apply these as agent defaults. If a design choice conflicts with one of these points, treat that as a review trigger and justify the exception explicitly.
State in the right place: Agent default: keep most state in the backend. Since the frontend is exposed to the user, the backend should be the source of truth for your application state.
Start with the Defaults: Agent default: start with default configuration options. The default configuration options are the recommended settings for the majority of applications. Before changing them, stop and identify the concrete requirement forcing the change.
Patch Elements & Signals: Agent default: have the backend drive the frontend by patching (adding, updating and removing) HTML elements and signals.
Use Signals Sparingly: Agent trigger: if you are adding many signals, stop and re-check whether state belongs in the backend. Favor fetching current state from the backend rather than pre-loading and assuming frontend state is current. A good rule of thumb is to only use signals for user interactions and for sending new state to the backend.
Prefer Morphing: Agent default: prefer morphing over fine-grained frontend state management. Morphing ensures that only modified parts of the DOM are updated, preserving state and improving performance. This allows you to send down large chunks of the DOM tree, including "fat morph" updates, rather than trying to manage fine-grained updates yourself. If you want to explicitly ignore morphing an element, place the data-ignore-morph attribute on it.
What ships with it
6 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.
- 2mo ago First seen · 104 lines · 80 tokens per session scan A 33ec22c498f0
datastar is a skill published in the GitHub repository VimCommando/datastar-skills (7 stars, last pushed 7mo ago), licensed MIT. It adds 80 tokens to every session and 1,377 once invoked, about $0.0003 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 2026-08-31.
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