Borrowing it
Nothing to install: this file belongs to warpdotdev/common-skills. 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/warpdotdev/common-skills/main/.agents/skills/brandalf/SKILL.mdgit clone --depth 1 https://github.com/warpdotdev/common-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/warpdotdev/common-skills/brandalf)<a href="https://agentmods.dev/skills/warpdotdev/common-skills/brandalf"><img src="https://agentmods.dev/badge/skills/warpdotdev/common-skills/brandalf/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/warpdotdev/common-skills/brandalf"><img src="https://agentmods.dev/badge/skills/warpdotdev/common-skills/brandalf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00064 | $0.00328 |
| Opus 5.5 | $0.00026 | $0.00131 |
| Sonnet 5.5 | $0.00013 | $0.00066 |
| Haiku 4.5 | $0.00006 | $0.00033 |
Grade A, and why
brandalf 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
Brandalf
Use this skill as the entrypoint for Warp and Oz branding work.
Source of truth
The canonical brand skill lives at:
https://warp-brand-site.vercel.app/brand/skill
Before creating or revising any Warp- or Oz-branded asset, read that URL and use its contents as the source of truth for:
- visual style
- color usage
- typography
- voice and tone
- component rules
- naming and capitalization
- implementation guidance
Do not rely on memory when the hosted skill can be fetched.
Workflow
- Fetch the hosted brand skill from
https://warp-brand-site.vercel.app/brand/skill. - Extract the guidance relevant to the asset being created.
- Apply those rules to the requested output.
- When presenting the result, briefly note any important brand constraints that materially shaped the output.
Scope
Use Brandalf for assets related to:
- Warp
- Oz
- Warp Drive
- agentic development / ADE materials that are explicitly branded for Warp or Oz
If the source is unavailable
If the hosted skill cannot be fetched, say that the canonical branding source was unavailable and ask the user whether to proceed with best-effort branding guidance or to retry fetching it.
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 · 47 lines · 64 tokens per session scan A 9884f55ddcb4
brandalf is a skill published in the GitHub repository warpdotdev/common-skills (636 stars, last pushed today), licensed MIT. It adds 64 tokens to every session and 328 once invoked, about $0.0003 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 2026-08-30.
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