playground-rebuild

playground-rebuild is a skill for Claude Code, Codex from Chemaclass/agnostic-ai. It costs 37 tokens per session (363 once invoked), scanned A, original, MIT.

A build-and-serve procedure for the browser-based agnostic-ai playground, which runs compiled WebAssembly code.

In plain words
What is it for?
Use it after editing playground JavaScript, CSS, or Go code to rebuild, serve, refresh, or clean generated files.
Why use it?
It ensures playground source changes are rebuilt correctly and explains why the playground must be served through a local web server.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it after editing playground JavaScript, CSS, or Go code to rebuild, serve, refresh, or clean generated files.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chemaclass/agnostic-ai/playground-rebuild
Install

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.

Any agent
npx skills add Chemaclass/agnostic-ai --skill playground-rebuild
Clone the repo
git clone --depth 1 https://github.com/Chemaclass/agnostic-ai

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for playground-rebuild

README.md
[![agentmods](https://agentmods.dev/badge/skills/chemaclass/agnostic-ai/playground-rebuild/github.svg)](https://agentmods.dev/skills/chemaclass/agnostic-ai/playground-rebuild)
Your own site
<a href="https://agentmods.dev/skills/chemaclass/agnostic-ai/playground-rebuild"><img src="https://agentmods.dev/badge/skills/chemaclass/agnostic-ai/playground-rebuild/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.

agentmods 80×15 button for playground-rebuild

Your own site · 80×15
<a href="https://agentmods.dev/skills/chemaclass/agnostic-ai/playground-rebuild"><img src="https://agentmods.dev/badge/skills/chemaclass/agnostic-ai/playground-rebuild.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 363 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00037 $0.00363
Opus 5.5 $0.00015 $0.00145
Sonnet 5.5 $0.00007 $0.00073
Haiku 4.5 $0.00004 $0.00036

Measured 3d ago against content hash 05d5879bc33d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

playground-rebuild 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 3d 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.

.agnostic-ai/skills/playground-rebuild/SKILL.md · 41 lines

What it actually says

playground-rebuild

The hosted playground at https://agnostic-ai.org/playground/ runs the same code as the CLI, compiled to WebAssembly via cmd/agnostic-ai-wasm.

Build

make playground-build

Writes docs/playground/agnostic-ai.wasm and copies wasm_exec.js, the helper script from the Go toolchain. Both are gitignored; CI regenerates them on push to main.

Serve locally

make playground-serve

Builds the Zola site and WebAssembly bundle, assembles the same files that GitHub Pages publishes, then serves _site/ with python3 -m http.server 8080. Open http://127.0.0.1:8080/playground/.

file:// does not work because browsers refuse WebAssembly.instantiateStreaming on local files.

After edits

For frontend or Go source changes, stop the server started for this task and rerun make playground-serve, then refresh the browser. This rebuilds and copies the bundle into _site/playground/. make playground-build alone updates docs/playground/, leaving the served copy stale.

Exercise the changed spec and target in the browser and inspect its generated output or error. Record the scenario and result. Select any additional checks from repository-root docs/internal/contributing.md, section "Choose checks for your change".

Clean

make playground-clean

Removes the generated .wasm and wasm_exec.js.

Changes

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.

  1. 3d ago Changed · +1 lines 05d5879bc33d
  2. 18d ago Changed e52e9e5c0b66
  3. 1mo ago Changed c300fcd59e00
  4. 1mo ago First seen · 40 lines · 37 tokens per session scan A f970147bf0f4

Subscribe to this mod's changes

playground-rebuild is a skill published in the GitHub repository Chemaclass/agnostic-ai (25 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 363 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 2026-08-30.

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