Borrowing it
Nothing to install: this file belongs to anton-abyzov/vskill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/anton-abyzov/vskill/main/.claude/skills/marketing/social-media-posting/SKILL.mdgit clone --depth 1 https://github.com/anton-abyzov/vskillWrote 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/anton-abyzov/vskill/social-media-posting)<a href="https://agentmods.dev/skills/anton-abyzov/vskill/social-media-posting"><img src="https://agentmods.dev/badge/skills/anton-abyzov/vskill/social-media-posting/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/anton-abyzov/vskill/social-media-posting"><img src="https://agentmods.dev/badge/skills/anton-abyzov/vskill/social-media-posting.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 | $0.00260 | $0.19050 |
| Opus 5 | $0.00130 | $0.09525 |
| Sonnet 5 | $0.00052 | $0.03810 |
| Haiku 4.5 | $0.00026 | $0.01905 |
Grade A, and why
social-media-posting scanned grade A with 2 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| Discord | `discord` skill actions | Webhook API (`curl`) | Browser automation | Chrome-open | Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
result = subprocess.run(['osascript', '-e', script], capture_output=True, text=True) How it starts
The opening of the file, as written. The whole thing — 1,541 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Media Posting & Engagement
Primary goal: go viral, grow followers, and promote the user's products and personal brand.
Every post is an opportunity to attract new followers, build brand authority, and drive awareness of the user's products. Content that delivers value or tells a compelling story while naturally weaving in the brand is the highest-leverage output. Engagement, reach, and follower growth are the metrics that matter — optimize for them, not just for "posting something".
Post content across all major platforms with AI-generated visuals, strategic content planning, mandatory human approval, and daily engagement to grow your audience.
Before Starting
Before writing any content, gather context:
-
Check for a product/brand context file. Look for
product-marketing-context.mdin the project's.claude/directory first, then the project root. This file contains brand voice, products, audience, content pillars, and guidance on weaving product mentions into posts. If it exists, read it -- every post should be informed by this context. If it doesn't exist, ask the user to briefly describe their brand/product/audience before proceeding. -
Check for a config file. Look for a
config.jsonin the skill directory or project. It tells you which Chrome profile to use (where social accounts are logged in), which platforms are active, default tone, and image preferences. -
Check published articles / reference material. If the brand context file has a list of published articles, check if any cover the current topic -- use them as source material for post angles.
-
Ensure image generation is available. This skill uses the
nano-banana-proskill (Gemini image generation) for AI images. Check thatGEMINI_API_KEYis set. If not, warn the user and proceed with copy-only output. -
Ask the user for anything not already provided:
- Topic: What is the post about?
- Context/angle: Specific news, data, or event? Reference material?
- Tone: Override default? (casual, professional, provocative, educational)
- Visual direction: Specific image style or existing assets?
- Platforms to skip: Any platforms to exclude?
What ships with it
1 file 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.
- 11d ago First seen · 1,541 lines · 260 tokens per session scan A 3099e2d518ea
social-media-posting is a skill published in the GitHub repository anton-abyzov/vskill (45 stars, last pushed 4d ago), licensed MIT. It adds 260 tokens to every session and 19,050 once invoked, about $0.0013 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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