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 somnus0x/agt-skill-pack --skill creator-content-opsgit clone --depth 1 https://github.com/somnus0x/agt-skill-packWrote 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/somnus0x/agt-skill-pack/creator-content-ops)<a href="https://agentmods.dev/skills/somnus0x/agt-skill-pack/creator-content-ops"><img src="https://agentmods.dev/badge/skills/somnus0x/agt-skill-pack/creator-content-ops/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/somnus0x/agt-skill-pack/creator-content-ops"><img src="https://agentmods.dev/badge/skills/somnus0x/agt-skill-pack/creator-content-ops.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 | $0.00149 | $0.01242 |
| Opus 5.5 | $0.00060 | $0.00497 |
| Sonnet 5.5 | $0.00030 | $0.00248 |
| Haiku 4.5 | $0.00015 | $0.00124 |
Grade A, and why
creator-content-ops 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.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
creator-content-ops — make your AI stack sound like YOU, across every channel
You are the example. If you run a page, a channel, a blog, you already have a voice. The problem is your AI doesn't. Ask it to "write like me" and it writes like the internet: ten drafts, ten different people, none of them you. Ask it to "gen a carousel" and the Thai fonts shatter, card 3 looks nothing like card 4, and every regen is a coin flip. That is not a model problem. It is a missing-system problem.
This kit is the system. Not a Canva brandbook with a color palette. A rule set your AI reads before it writes anything, plus the production layer that renders instead of gambles. Four formats, one spine:
- CONTENT.md — your voice, extracted once, loaded every session. The 3 filters that catch AI-smell before it ships. This is the heart. Everything else reads it.
- carousel/ — TikTok/IG carousels where AI gens the background and CODE renders the text. Thai never breaks, because it is rendered with a real font, not generated.
- shorts/ — YouTube Shorts / TikTok clip assembly from your raw material.
- covers/ — post covers, two paths: a code-composed neutral template (pixel-exact, free, every time) and a Codex ImageGen path (creative, one-offs, diagrams).
The split that makes it a factory, not a craft:
AI gens what needs imagination. Code composes what needs consistency. Backgrounds, art, hero shots → AI. Text, layout, export → code. Never let AI draw the words on the card. Render them.
When to use / not use
Use when a creator wants to set up an AI content stack, or fix these symptoms:
- output reads generic / "sounds like AI" no matter how you prompt it
- Thai (or any complex-script) text breaks when AI generates the image
- a carousel/series comes out inconsistent card-to-card
- every asset is hand-made one at a time in Canva and it doesn't scale
Do NOT use for: dev-repo setup (that's claude-md-setup — same bones, code target),
one-off single images with no voice/consistency need, or video editing craft. This kit
is about turning repeatable content into a governed pipeline.
What ships with it
6 files 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.
- 1mo ago First seen · 94 lines · 149 tokens per session scan A 5414b513b3d3
creator-content-ops is a skill published in the GitHub repository somnus0x/agt-skill-pack (74 stars, last pushed 18d ago), licensed Apache-2.0. It adds 149 tokens to every session and 1,242 once invoked, about $0.0006 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.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…