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 skills/jonathimer/devmarketing-skills/developer-sandboxnpx skills add jonathimer/devmarketing-skills --skill developer-sandboxgit clone --depth 1 https://github.com/jonathimer/devmarketing-skillsWrote 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/jonathimer/devmarketing-skills/developer-sandbox)<a href="https://agentmods.dev/skills/jonathimer/devmarketing-skills/developer-sandbox"><img src="https://agentmods.dev/badge/skills/jonathimer/devmarketing-skills/developer-sandbox.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 | $0.00093 | $0.03120 |
| Opus 5 | $0.00046 | $0.01560 |
| Sonnet 5 | $0.00019 | $0.00624 |
| Haiku 4.5 | $0.00009 | $0.00312 |
Grade A, and why
developer-sandbox 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.
How it starts
The opening of the file, as written. The whole thing — 493 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interactive Playgrounds and Demo Environments
Let developers experience your product before they commit. A great playground removes the biggest barrier to adoption: uncertainty about whether your product solves their problem.
Overview
Developer playgrounds serve multiple purposes:
- Evaluation: Let developers test before investing setup time
- Learning: Interactive environment for understanding concepts
- Marketing: Demonstrate capabilities without sales calls
- Support: Reproducible environment for debugging issues
This skill covers designing playgrounds that convert curious visitors into active users.
Before You Start
Review the developer-audience-context skill to understand:
- What do developers want to validate before signing up?
- What's the typical evaluation workflow in your space?
- What competing products offer playgrounds?
- What's the minimum viable experience that demonstrates value?
Your playground should answer the questions developers have when evaluating.
Playground Design Principles
Principle 1: Instant Gratification
Developers should see something meaningful within 10 seconds of landing.
Good: Page loads with a working example already running Bad: Empty editor with "Type your code here" placeholder
<!-- Good: Pre-loaded, running example -->
<div class="playground">
<div class="editor">
<pre><code>// Analyze sentiment of this text
const result = await api.analyze("I love this product!");
console.log(result.sentiment); // "positive"</code></pre>
</div>
<div class="output">
<pre>{ "sentiment": "positive", "confidence": 0.94 }</pre>
</div>
<button class="run-btn">Run ▶️</button>
</div>
Principle 2: Progressive Complexity
Start simple, let developers go deeper as curiosity grows.
Level 1: One-Click Demo
[Analyze Text] → See result immediately
Level 2: Editable Input
[Edit the text] → [Run] → See result
Level 3: Full API Access
Edit code → Modify parameters → See raw request/response
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 493 lines · 93 tokens per session scan A 7f032a231bf1
developer-sandbox is a skill published in the GitHub repository jonathimer/devmarketing-skills (86 stars, last pushed 6mo ago), licensed MIT. It adds 93 tokens to every session and 3,120 once invoked, about $0.0005 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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chat-perf
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