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 rediumvex/ai-marketing-claude --skill market-socialgit clone --depth 1 https://github.com/rediumvex/ai-marketing-claudeWrote 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/rediumvex/ai-marketing-claude/market-social)<a href="https://agentmods.dev/skills/rediumvex/ai-marketing-claude/market-social"><img src="https://agentmods.dev/badge/skills/rediumvex/ai-marketing-claude/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/rediumvex/ai-marketing-claude/market-social"><img src="https://agentmods.dev/badge/skills/rediumvex/ai-marketing-claude/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 | $0.00074 | $0.01312 |
| Opus 5 | $0.00037 | $0.00656 |
| Sonnet 5 | $0.00015 | $0.00262 |
| Haiku 4.5 | $0.00007 | $0.00131 |
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 12d 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Social — Multi-Platform Content
Generate social content that respects each platform's native format. A LinkedIn post is not a long tweet. An Instagram caption is not a blog intro. A TikTok script is not a headline.
Platform Specs (character limits and native formats)
| Platform | Limit | Native format |
|---|---|---|
| X (Twitter) | 280 chars (free) / 25,000 (Premium) | Punchy single posts or threads. First tweet hooks. Threads use "🧵" or numbered. |
| 3,000 chars post body | Story-led, line-break-heavy, no links above the cut (algorithmic penalty). | |
| 2,200 caption / 30 hashtags max | Hook in first line (before "more"), 5–15 hashtags in first comment, emoji for scanability. | |
| TikTok | 2,200 caption / video is the content | Caption is a hook. Script should be 15–60s with hook in first 3s. |
| YouTube Shorts | Video + 100-char title | Hook first 2 seconds, pattern interrupt at 5s. |
| Threads | 500 chars | Conversational, less polished than LinkedIn. |
| 63,206 chars (use ~80 for best reach) | Short + link, or native video. | |
| 500 char description / vertical image | Keywords + title are the ranking signal. |
Content Pillars (pick 3–5 per brand)
| Pillar | Purpose | Example formats |
|---|---|---|
| Educational | Teach, build trust | How-tos, frameworks, breakdowns |
| Behind the scenes | Humanize | Day-in-life, process, team |
| Social proof | Credibility | Case studies, testimonials, stats |
| Contrarian / POV | Attention + distinction | Hot takes, pattern breaks |
| Tactical | Immediate value | Tips, hacks, templates |
| Story | Emotional connection | Origin, founder, customer stories |
| Entertainment | Reach | Memes, humor (if on-brand) |
| Product | Direct promo | Launches, updates, demos |
The 80/20 rule: 80% value-driven (education, story, proof), 20% direct promo.
Platform-specific post structures
X — Single
Hook (line 1)
Evidence / story / punch
CTA (optional)
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.
- 12d ago First seen · 156 lines · 74 tokens per session scan A a7866a73eea9
market-social is a skill published in the GitHub repository rediumvex/ai-marketing-claude (38 stars, last pushed 5mo ago), licensed MIT. It adds 74 tokens to every session and 1,312 once invoked, about $0.0004 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 2026-08-30.
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