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 Chemaclass/agnostic-ai --skill playground-rebuildgit clone --depth 1 https://github.com/Chemaclass/agnostic-aiWrote 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/chemaclass/agnostic-ai/playground-rebuild)<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.
<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>- 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 | $0.00037 | $0.00268 |
| Opus 5 | $0.00018 | $0.00134 |
| Sonnet 5 | $0.00007 | $0.00054 |
| Haiku 4.5 | $0.00004 | $0.00027 |
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 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.
What it actually says
playground-rebuild
The hosted playground at https://chemaclass.github.io/agnostic-ai/ 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 the Go-toolchain wasm_exec.js shim. Both are gitignored; CI regenerates them on push to main.
Serve locally
make playground-serve
Starts python3 -m http.server 8080 in docs/playground/. Open http://127.0.0.1:8080.
file:// does not work because browsers refuse WebAssembly.instantiateStreaming on local files.
After edits
playground.jsorstyle.csschanges: refresh the browser.- Go source changes: rebuild with
make playground-buildfirst, then refresh.
Clean
make playground-clean
Removes the generated .wasm and wasm_exec.js.
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 · 40 lines · 37 tokens per session scan A f970147bf0f4
playground-rebuild is a skill published in the GitHub repository Chemaclass/agnostic-ai (12 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 268 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.
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