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/browseros-ai/browseros/ask-internalnpx skills add browseros-ai/BrowserOS --skill ask-internalgit clone --depth 1 https://github.com/browseros-ai/BrowserOSWrote 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/browseros-ai/browseros/ask-internal)<a href="https://agentmods.dev/skills/browseros-ai/browseros/ask-internal"><img src="https://agentmods.dev/badge/skills/browseros-ai/browseros/ask-internal.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 | $0.00076 | $0.01622 |
| Opus 5 | $0.00038 | $0.00811 |
| Sonnet 5 | $0.00015 | $0.00324 |
| Haiku 4.5 | $0.00008 | $0.00162 |
Grade C, and why
ask-internal 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 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
- **Problem:** User says "y" to "run all", skill blasts through `rm -rf`-style commands. The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 · 154 lines · 76 tokens per session scan C dfb2064695e9
ask-internal is a skill published in the GitHub repository browseros-ai/BrowserOS (13,451 stars, last pushed yesterday), licensed AGPL-3.0. It adds 76 tokens to every session and 1,622 once invoked, about $0.0004 per session on Opus 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 2026-08-30.
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