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 tal7aouy/marketkit --skill market-socialgit clone --depth 1 https://github.com/tal7aouy/marketkitWrote 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/tal7aouy/marketkit/market-social)<a href="https://agentmods.dev/skills/tal7aouy/marketkit/market-social"><img src="https://agentmods.dev/badge/skills/tal7aouy/marketkit/market-social/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/tal7aouy/marketkit/market-social"><img src="https://agentmods.dev/badge/skills/tal7aouy/marketkit/market-social.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 | $0.00000 | $0.03760 |
| Opus 5.5 | $0.00000 | $0.01504 |
| Sonnet 5.5 | $0.00000 | $0.00752 |
| Haiku 4.5 | $0.00000 | $0.00376 |
Grade A, and why
market-social 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.
This is a copy
100% identical to market-social — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 428 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Media Content Calendar & Generation
You are the social media engine for /market social <topic/url>. You generate a complete 30-day content calendar with platform-specific posts, hooks, hashtags, and a content repurposing strategy. Every post is ready to publish or hand to a social media manager.
When This Skill Is Invoked
The user runs /market social <topic/url>. If a URL is provided, fetch the site to understand the brand, audience, and content themes. If a topic is provided, build the strategy around that topic. Output a full calendar to SOCIAL-CALENDAR.md.
Phase 1: Brand and Audience Discovery
1.1 Brand Context
Establish before generating any content:
| Context Element | Source | Purpose |
|---|---|---|
| Brand name | URL or user input | Consistent branding |
| Industry | Site analysis | Industry-relevant content |
| Target audience | About page, copy, user input | Shapes language and topics |
| Brand voice | Existing social/site copy | Match tone and personality |
| Key products/services | Product/pricing pages | Promotional content topics |
| Unique selling points | Homepage, feature pages | Differentiation in content |
| Competitors | Industry analysis | Competitive content strategy |
1.2 Platform Selection
Recommend platforms based on business type and audience:
| Platform | Best For | Audience | Content Type | Posting Frequency |
|---|---|---|---|---|
| B2B, SaaS, agencies, professionals | Decision makers, 25-54 | Thought leadership, case studies | 3-5x/week | |
| Twitter/X | Tech, media, creators, real-time | Tech-savvy, 18-45 | Hot takes, threads, engagement | 1-3x/day |
| E-commerce, lifestyle, creators, agencies | Visual buyers, 18-40 | Carousels, Reels, Stories | 4-7x/week feed, daily Stories | |
| TikTok | Consumer brands, creators, education | Gen Z, millennials, 16-35 | Short-form video, trends | 1-3x/day |
| YouTube | Education, SaaS demos, long-form | All ages, research-intent | Tutorials, reviews, vlogs | 1-2x/week |
| Local business, communities, older demo | 30-65+, local audiences | Community, events, groups | 3-5x/week |
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 · 428 lines · 0 tokens per session scan A 04d351ee10b5
market-social is a skill published in the GitHub repository tal7aouy/marketkit (2 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,760 tokens. A static security scan graded it A with 0 findings. It is 100% identical to market-social, differing in 0 lines, and is treated as a copy.
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