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 HomenShum/NodeBenchAI --skill sandbox-statsgit clone --depth 1 https://github.com/HomenShum/NodeBenchAIWrote 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/homenshum/nodebenchai/sandbox-stats)<a href="https://agentmods.dev/skills/homenshum/nodebenchai/sandbox-stats"><img src="https://agentmods.dev/badge/skills/homenshum/nodebenchai/sandbox-stats/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/homenshum/nodebenchai/sandbox-stats"><img src="https://agentmods.dev/badge/skills/homenshum/nodebenchai/sandbox-stats.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 | $0.00043 | $0.00222 |
| Opus 5.5 | $0.00017 | $0.00089 |
| Sonnet 5.5 | $0.00009 | $0.00044 |
| Haiku 4.5 | $0.00004 | $0.00022 |
Grade A, and why
sandbox-stats 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 1mo 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
Sandbox Stats
Show context sandbox savings directly in the conversation.
Instructions
- Call the NodeBench MCP tool
sandbox_statswith no arguments. - After the tool returns, display the results as a markdown table:
## NodeBench Context Sandbox Stats | Metric | Value | |--------|-------| | Session | X.X min | | Bytes indexed | XXX KB | | Bytes in context | XXX B | | Savings ratio | XXx | | Context reduction | XX% | | Tokens saved | ~X,XXX | | Tool | Calls | |------|-------| | sandbox_execute | N | | sandbox_ingest | N | | sandbox_batch | N | | sandbox_search | N |
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.
- 1mo ago First seen · 36 lines · 43 tokens per session scan A ad83d90693d5
sandbox-stats is a skill published in the GitHub repository HomenShum/NodeBenchAI (15 stars, last pushed 3d ago), licensed MIT. It adds 43 tokens to every session and 222 once invoked, about $0.0002 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 2026-09-03.
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