Scenario Agent Skills is a collection of instructions that teaches AI coding agents to create images, video, audio, textures, skyboxes, and 3D assets through the Scenario MCP server, an interface to Scenario’s generation tools and custom-trained models. It serves game, entertainment, marketing, and other creative work, and also includes workflows for digital content creation software and game engines. The catalogue entries are these skills, along with plugins, commands, agents, instructions, settings, and hooks for using Scenario or driving supported creative applications.
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.
git clone --depth 1 https://github.com/scenario-labs/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/commands/scenario-labs/skills/pr-handle)<a href="https://agentmods.dev/commands/scenario-labs/skills/pr-handle"><img src="https://agentmods.dev/badge/commands/scenario-labs/skills/pr-handle/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/commands/scenario-labs/skills/pr-handle"><img src="https://agentmods.dev/badge/commands/scenario-labs/skills/pr-handle.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00000 | $0.00014 |
| Opus 5.5 | $0.00000 | $0.00006 |
| Sonnet 5.5 | $0.00000 | $0.00003 |
| Haiku 4.5 | $0.00000 | $0.00001 |
Grade A, and why
pr-handle 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
../../../.agents/skills/skills-pr-handle/SKILL.md
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 Changed · -123 lines · -29 tokens per session 26d91686c1ca
- 1mo ago Changed · +13 lines · +8 tokens per session 98bf65f796b3
- 1mo ago First seen · 111 lines · 21 tokens per session scan A 06a0c1fa0ae8
pr-handle is a command published in the GitHub repository scenario-labs/skills (1,123 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 14 tokens. 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 commands, from other repositories
diff-review
Generate a visual HTML diff review, before/after architecture comparison with code review analysis.
fix-pr-comments
Systematically resolve Pull Request review comments using gh CLI to fetch comments and apply requested changes.
commit-and-create-mr
Commit and create MR on Gitlab, with post-merge worktree cleanup.
review
Recent git commits: !git log --oneline -10.
review-open-prs
Command "review-open-prs" from The-Artificer-of-Ciphers-LLC/skills-from-the-artificer, covering batch pr review directive — all open prs i did not author, phase a — enumerate target prs & build the queue, phase b — per-pr directive (runs once per queued $pr), 0. context anchoring and 1. preconditions.
snr-ship
Run the go/no-go release gate and produce an explicit ship or do-not-ship verdict with named blockers, accepted risks and a rollback plan.