claude-codex-settings is a collection of configurations and reusable extensions for Claude Code, OpenAI Codex, Cursor, and related coding tools. Developers use its skills, commands, hooks, agents, plugins, and MCP servers to shape coding-agent workflows and connect alternative model APIs. The catalogue entries are components of this collection that can be installed into supported coding tools.
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 skills add fcakyon/claude-codex-settings --skill ultralytics-platformgit clone --depth 1 https://github.com/fcakyon/claude-codex-settingsWrote 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/fcakyon/claude-codex-settings/ultralytics-platform)<a href="https://agentmods.dev/skills/fcakyon/claude-codex-settings/ultralytics-platform"><img src="https://agentmods.dev/badge/skills/fcakyon/claude-codex-settings/ultralytics-platform/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/fcakyon/claude-codex-settings/ultralytics-platform"><img src="https://agentmods.dev/badge/skills/fcakyon/claude-codex-settings/ultralytics-platform.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00135 | $0.01128 |
| Opus 5.5 | $0.00054 | $0.00451 |
| Sonnet 5.5 | $0.00027 | $0.00226 |
| Haiku 4.5 | $0.00014 | $0.00113 |
Grade A, and why
ultralytics-platform 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 25d 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.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ultralytics Platform
Use ultralytics for local YOLO training and inference. Use the generated ultralytics-platform
Python SDK for Platform resources, hosted inference, and AI annotation. It handles authentication,
typed responses, retries, and errors.
Read the live contract
Before API work, check the generated API reference or
GET https://platform.ultralytics.com/openapi.json. Treat the live OpenAPI document as authoritative
when examples disagree. These recipes were checked against API and SDK v0.1.62 on 2026-09-24.
Check the SDK source for generated method signatures.
uv pip install -U "ultralytics-platform>=0.1.62"
export ULTRALYTICS_API_KEY=ul_... # Settings > API Keys
Platform() reads ULTRALYTICS_API_KEY. The ultralytics package also reads the key saved by
yolo login. Never print or commit a key.
Choose the interface
| Goal | Interface |
|---|---|
| Track a run that has not started | ultralytics training callback |
| Train with a Platform dataset or model | ultralytics with a ul:// URI |
| Manage datasets, models, training, exports, or deployments | ultralytics-platform SDK |
| Predict with model weights or a dedicated endpoint | client.models.predict / client.deployments.predict |
| Preview Moondream or other AI labels on a stored image | client.images.predict |
| Save AI labels across a dataset | client.datasets.create_batch |
| Use another language or inspect a new field | Live OpenAPI |
Live training and ul:// URIs
Pass an owner-qualified project to stream a run:
from ultralytics import YOLO
YOLO("yolo26n.pt").train(data="coco8.yaml", epochs=100, project="owner/project", name="run1")
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.
- 25d ago Changed · +9 lines · +23 tokens per session f8ea40fc8f75
- 1mo ago First seen · 82 lines · 112 tokens per session scan A 98aa4d22cc3e
ultralytics-platform is a skill published in the GitHub repository fcakyon/claude-codex-settings (1,181 stars, last pushed today), licensed Apache-2.0. It adds 135 tokens to every session and 1,128 once invoked, about $0.0005 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 2026-09-03.
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