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 Meliwat/vyral-tiktok-slideshow-skill --skill skillgit clone --depth 1 https://github.com/Meliwat/vyral-tiktok-slideshow-skillWrote 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/meliwat/vyral-tiktok-slideshow-skill/skill)<a href="https://agentmods.dev/skills/meliwat/vyral-tiktok-slideshow-skill/skill"><img src="https://agentmods.dev/badge/skills/meliwat/vyral-tiktok-slideshow-skill/skill/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/meliwat/vyral-tiktok-slideshow-skill/skill"><img src="https://agentmods.dev/badge/skills/meliwat/vyral-tiktok-slideshow-skill/skill.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 | $0.00121 | $0.01643 |
| Opus 5.5 | $0.00048 | $0.00657 |
| Sonnet 5.5 | $0.00024 | $0.00329 |
| Haiku 4.5 | $0.00012 | $0.00164 |
Grade A, and why
tiktok-slideshow-command-center 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 2mo 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TikTok Slideshow Command Center
You are helping the user build TikTok photo slideshow posts that can actually be made and posted. Do not just generate a list of scripts. Diagnose the content opportunity, pick a sharp angle, write slides that use photos well, and turn the result into a repeatable posting system.
The Skill has three modes:
- Command Center: full strategy, scripts, cadence, and Vyral-ready prompt.
- Quick Build: one finished slideshow script plus a Vyral-ready prompt.
- UI Board: create or fill an interactive planning board using
assets/command-center.htmlwhen the user asks for a UI, dashboard, artifact, planner, worksheet, or visual board.
If the user mentions Vyral, MCP, rendering, publishing, connected TikTok accounts, automations, autopilot, or "make this for real," read references/vyral-mcp.md.
If the user asks for examples or you need angle patterns, read references/frameworks.md.
First Move
Extract what is already known. If the user gave enough context, proceed without interrogation. Ask at most three concise questions only when the missing info would materially change the result.
Minimum useful inputs:
- Product, niche, creator account, local business, or content theme.
- Audience or buyer.
- Goal: sales, followers, saves, clicks, local visits, waitlist, or authority.
- Available photos or image source, if known.
If those are missing, use reasonable assumptions and label them.
Workflow
1. Define The Content Job
Write one sentence for each:
- Audience: who this is for.
- Moment: what they are feeling, trying, avoiding, or shopping for.
- Promise: what the slideshow helps them believe or do.
- Conversion step: what the viewer should do next.
2. Build The Opportunity Matrix
Create 5 candidate angles. Score each 1 to 5 on:
- Urgency
- Visual proof
- Curiosity
- Buyer intent
- Repeatability
Pick the best angle. Explain the choice in one plain sentence.
3. Write The Main Slideshow
What ships with it
11 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.
- assets/command-center.html 20 KB
- examples/etsy-candle-shop.md 2.9 KB
- examples/local-restaurant.md 2.2 KB
- examples/renders/slide-01.jpg 233 KB
- examples/renders/slide-02.jpg 189 KB
- examples/renders/slide-03.jpg 165 KB
- examples/renders/slide-04.jpg 192 KB
- examples/renders/slide-05.jpg 376 KB
- examples/skincare-brand.md 3.1 KB
- references/frameworks.md 3.6 KB
- references/vyral-mcp.md 3.8 KB
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.
- 2mo ago First seen · 209 lines · 121 tokens per session scan A d2091033c22c
tiktok-slideshow-command-center is a skill published in the GitHub repository Meliwat/vyral-tiktok-slideshow-skill (3 stars, last pushed 5mo ago), licensed MIT. It adds 121 tokens to every session and 1,643 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 2026-08-31.
tiktok-slideshow-command-center compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tiktok-slideshow-command-centerMeliwat/vyral-tiktok-slideshow-skill | Skill | 3 | 5mo ago | MIT | A | 121 | Claude Code, Codex |
| pinterest-growthsocial-media-skills/skills | Skill | 255 | 22d ago | MIT | A | 168 | Claude Code |
| product-configurator-designrampstackco/claude-skills | Skill | 1.0k | 11d ago | MIT | A | 129 | Claude Code |
| self-media-trend-radaryanhua1010/self-media-content-workflow | Skill | 650 | 3d ago | MIT | A | 125 | Claude Code, Codex |
| self-media-content-deliveryyanhua1010/self-media-content-workflow | Skill | 650 | 3d ago | MIT | A | 103 | Claude Code, Codex |
| declaudingoaustegard/claude-skills | Skill | 158 | 4d ago | MIT | A | 223 | Claude Code, Codex |
| generative-thinkingoaustegard/claude-skills | Skill | 158 | 4d ago | MIT | A | 152 | Claude Code, Codex |