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 agentmods add instructions/wesleyzhangwq/tiny-agent-sandbox/agents-mdgit clone --depth 1 https://github.com/wesleyzhangwq/tiny-agent-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/wesleyzhangwq/tiny-agent-sandbox/agents-md)<a href="https://agentmods.dev/instructions/wesleyzhangwq/tiny-agent-sandbox/agents-md"><img src="https://agentmods.dev/badge/instructions/wesleyzhangwq/tiny-agent-sandbox/agents-md.svg" alt="Measured on agentmods" 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 | $0.00203 | $0.00203 |
| Opus 5 | $0.00102 | $0.00102 |
| Sonnet 5 | $0.00041 | $0.00041 |
| Haiku 4.5 | $0.00020 | $0.00020 |
Grade A, and why
tiny-agent-sandbox AGENTS.md 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 4d 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
Agent Guide
Purpose
This repository is a small educational sandbox that exposes bounded code execution through MCP.
Security invariants
- Never accept arbitrary images, commands, Docker flags, environment variables, or host mounts from a tool caller.
- Keep network disabled by default.
- Keep the root filesystem read-only, run as a non-root user, and drop all Linux capabilities.
- Bound input, output, time, memory, CPU, and process count.
- On timeout or output overflow, remove the named container instead of only killing the Docker client.
- Describe this project as a development/learning boundary, not a production multi-tenant sandbox.
Validation
uv sync --no-editable --extra dev
uv run --no-editable ruff check .
uv run --no-editable pytest -m "not integration"
docker pull python:3.12-alpine node:22-alpine alpine:3.22
uv run --no-editable pytest -m integration
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.
- 4d ago First seen · 25 lines · 203 tokens per session scan A b4e510541a5f
tiny-agent-sandbox AGENTS.md is an instructions file published in the GitHub repository wesleyzhangwq/tiny-agent-sandbox (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 203 tokens to every session, about $0.0010 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 2026-08-31.
Other instructions, from other repositories
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