Claude Code Skills Marketplace is a collection and marketplace of skills, plugins, agents, and instructions that extend Claude Code with specialized development workflows. It is for developers who want to install existing workflows or create, validate, and package their own Claude Code skills.
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 daymade/claude-code-skills --skill meme-creatorgit clone --depth 1 https://github.com/daymade/claude-code-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/skills/daymade/claude-code-skills/meme-creator)<a href="https://agentmods.dev/skills/daymade/claude-code-skills/meme-creator"><img src="https://agentmods.dev/badge/skills/daymade/claude-code-skills/meme-creator/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/daymade/claude-code-skills/meme-creator"><img src="https://agentmods.dev/badge/skills/daymade/claude-code-skills/meme-creator.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 | $0.00169 | $0.01985 |
| Opus 5 | $0.00084 | $0.00992 |
| Sonnet 5 | $0.00034 | $0.00397 |
| Haiku 4.5 | $0.00017 | $0.00198 |
Grade A, and why
meme-creator 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 today.
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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meme Creator
Turn a video clip into a meme: images (logos, avatars, stickers) glued onto moving objects so they follow the motion frame by frame, delivered as MP4 + GIF.
The failure mode that ruins this is not tracking drift — it is gluing the wrong person's avatar on screen because a name was bound to the first plausible account found. So step 0 is identity, not tooling.
For a static image meme, skip tracking entirely: put one manual_keys entry
per target ([[1, [x, y, w, h]]]) in the overlays config and render just that
frame — --tracks is optional when every position comes from keys.
Requirements
ffmpegon PATHuv— all bundled Python scripts carry inline dependencies; run them withuv run <script>and deps resolve themselvesyt-dlponly when downloading (uv run --with yt-dlp yt-dlp ...)- Chrome/Chromium only when rasterizing an SVG logo (asset-binding.md)
- Script paths below are written
scripts/…relative to this skill's bundle directory. Resolve the bundle path once (SKILL_DIR=<path to this skill>) and run"$SKILL_DIR"/scripts/make_sheets.py …— your working directory is the scratch dir, not the bundle.
Pipeline
Work inside a scratch directory (/tmp/<meme-name>/ or similar), deliver only
the final MP4 + GIF.
0. Bind identities before fetching assets
When the user names who/what goes on screen ("Codex, Claude, and Tibo's avatar"), every ambiguous name must survive the disambiguation gate in references/asset-binding.md — enumerate candidates with a handle-free search, discriminate from the request context (the peer entities listed alongside are the strongest signal), and ask the user when context cannot decide. That file also covers logo/avatar sourcing, SVG→PNG with real transparency via headless Chrome, and badge styling. Fetch and eyeball every image before compositing it.
1. Acquire the source
Local file: use it. URL: yt-dlp handles bilibili (incl. b23.tv short links),
YouTube, and most sites:
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.
- today First seen · 152 lines · 169 tokens per session scan A dc2c59f90e76
meme-creator is a skill published in the GitHub repository daymade/claude-code-skills (1,387 stars, last pushed today), licensed MIT. It adds 169 tokens to every session and 1,985 once invoked, about $0.0008 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 2026-09-10.
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