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/yosemitecrew/yosemite-crew/agent-loopnpx skills add YosemiteCrew/Yosemite-Crew --skill agent-loopgit clone --depth 1 https://github.com/YosemiteCrew/Yosemite-CrewWrote 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/yosemitecrew/yosemite-crew/agent-loop)<a href="https://agentmods.dev/skills/yosemitecrew/yosemite-crew/agent-loop"><img src="https://agentmods.dev/badge/skills/yosemitecrew/yosemite-crew/agent-loop.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 | $0.00091 | $0.03981 |
| Opus 5 | $0.00046 | $0.01990 |
| Sonnet 5 | $0.00018 | $0.00796 |
| Haiku 4.5 | $0.00009 | $0.00398 |
Grade A, and why
agent-loop 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 5d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 5d ago First seen · 291 lines · 91 tokens per session scan A c646e70fde53
agent-loop is a skill published in the GitHub repository YosemiteCrew/Yosemite-Crew (2,020 stars, last pushed today), with no licence file. It adds 91 tokens to every session and 3,981 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.
Other skills, from other repositories
hatch-pet-v2
Create, repair, validate, visually QA, and package Codex-compatible v2 animated pets from character art, generated images, company or prospect brand cues, or visual references. Use for any new Codex pet, custom mascot, non-pixel pet style, brand-inspired pet, existing-pet repair, or 8x11 spritesheet workflow requiring…
submit-codex-pet
Request or submit pets to Awesome Codex Pet without a full repository clone. Use when a user wants the community to make a pet, wants AI to create or finish their own pet from references, wants to submit existing pet files, needs duplicate, attribution, and visual-quality review, or wants a focused GitHub issue or…
hospitality-expert
Expert-level hotel management, reservation systems, guest services, revenue management, and hospitality technology. Use when the user mentions hotel, reservation, PMS, or revenue management, or when the task involves Hotel Management Systems, Technologies, Standards and Protocols, or Reservations Management.
hatch-pet-v1
Create, repair, validate, preview, and package legacy Codex v1 animated pet spritesheets from character art, screenshots, generated images, or visual references. Use when a project requires the 8x9, 1536x1872 pet contract with transparent unused cells, row-by-row animation prompts, QA contact sheets, preview videos…
copywriting
Foundational direct response copywriting genome — One Belief, 5 Acts, PMS, awareness spectrum. Niche-agnostic baseline always loaded by @copywriter as base layer.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.