Borrowing it
Nothing to install: this file belongs to lensapp/lens-sandbox. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lensapp/lens-sandbox/main/CLAUDE.mdgit clone --depth 1 https://github.com/lensapp/lens-sandboxWrote 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/instructions/lensapp/lens-sandbox/claude-md)<a href="https://agentmods.dev/instructions/lensapp/lens-sandbox/claude-md"><img src="https://agentmods.dev/badge/instructions/lensapp/lens-sandbox/claude-md/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/instructions/lensapp/lens-sandbox/claude-md"><img src="https://agentmods.dev/badge/instructions/lensapp/lens-sandbox/claude-md.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 | $0.09268 | $0.09268 |
| Opus 5.5 | $0.03707 | $0.03707 |
| Sonnet 5.5 | $0.01854 | $0.01854 |
| Haiku 4.5 | $0.00927 | $0.00927 |
Grade C, and why
lens-sandbox CLAUDE.md scanned grade C with 1 finding 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
make clean rm -rf bin/ + cargo clean (coverage artifacts live inside target/) How it starts
The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Vision
LNS is a local desktop app for running AI agents, commands, OCI images, and other untrusted workloads inside a microVM. Tagline: "The sandbox you'll actually leave running." One-liner: "Run AI agents, commands, and OCI images locally. Control access into and out of the sandbox."
- Start here:
docs/README.md— the first-party user documentation index. - Product language: the Product Vision above and
docs/are the source of truth for terminology and framing; keep naming consistent with them.docs/is user-facing documentation only — no internal sales/marketing material lives in this repo. - Concepts: approvals drive policy authoring; a per-run decisions file (
~/.lns/runs/<RUN>/decisions.yaml, akind: mixindocument created empty with the run; a destination no rule decides is asked about) holds the network rules, andlns sandbox savewrites a run out as a document to keep;Vzon macOS /KVMon Linux is the only runtime; real secrets stay outside the workload. - Target format:
docs/sandbox-spec.mdis the normative specification for thelns.run/v1document format and the decisions behind it. The code does not implement all of it — see Transitional mode before you touch a document-format surface. - Sibling product: Lens Agents is the centrally managed counterpart for IT teams. Same policy model.
Before proposing new features or architecture, consider whether they preserve the core principles: a sandbox you don't turn off, disposable, never leaky (a run's state never escapes the sandbox; stopped runs persist until removed, and one prune sweeps them all away), no system dependencies (the user runs one binary; no apt/brew preflight, no privileged installer), policy you run into, not write, the working directory only roots relative paths, real secrets stay outside the workload. A small user-launched background service (lns-service, started by the native macOS app or lns service start and stoppable from the native app, the Linux tray, or lns service stop) is part of "a sandbox you don't turn off" — not a daemon in the apt/launchd sense.
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 Changed · +13 tokens per session 3de5f1a25c70
- 1mo ago Changed · +64 tokens per session 6e9b14664ea7
- 1mo ago Changed · +1 lines · +80 tokens per session 8be3641caf05
- 1mo ago Changed · +40 lines · +1,460 tokens per session 0d658d40c064
- 1mo ago Changed · -1 lines · -87 tokens per session 71d35d4d3aef
- 2mo ago First seen · 237 lines · 7,738 tokens per session scan C 252ff57224f2
lens-sandbox CLAUDE.md is an instructions file published in the GitHub repository lensapp/lens-sandbox (10 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 9,268 tokens to every session, about $0.0371 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
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