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/githubnext/gh-aw-workshop/github-brandnpx skills add githubnext/gh-aw-workshop --skill github-brandgit clone --depth 1 https://github.com/githubnext/gh-aw-workshopWhat 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 | $0.00073 | $0.05297 |
| Opus 5 | $0.00036 | $0.02648 |
| Sonnet 5 | $0.00015 | $0.01059 |
| Haiku 4.5 | $0.00007 | $0.00530 |
Grade A, and why
github-brand 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 yesterday.
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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- yesterday First seen · 460 lines · 73 tokens per session scan A fae093146e79
github-brand is a skill published in the GitHub repository githubnext/gh-aw-workshop (40 stars, last pushed yesterday), with no licence file. It adds 73 tokens to every session and 5,297 once invoked, about $0.0004 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.
Other skills, from other repositories
review-pr
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scope-plan
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wbso-aanvraag
Analyseer een project op WBSO-waardigheid via Jira, code en documenten. Genereer de technische projectbeschrijving voor RVO, een S&O-uren schatting, en een lijst van Jira-epics/stories die gelabeld moeten worden voor urenregistratie. Gebruik deze skill wanneer de gebruiker vraagt om een WBSO-aanvraag, S&O-aanvraag, of…
write-plan
Create a technical implementation plan broken into small, executable, sized tasks. Use when user asks to create an implementation plan, break down a ticket, or scope work.
asvs-audit
Role: You are an Application Security Expert. Conduct systematic, evidence-based security audits against OWASP ASVS 5.0 Level 1 requirements using the bundled CSV as the canonical source.
estimate-size
Estimate software tickets and work items with a configurable relative-sizing workflow. Respect dedicated estimators and local project rules, and use the built-in defaults when no local rules are provided.