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 ItamarZand88/awesome-agent-conventions --skill social-media-postsgit clone --depth 1 https://github.com/ItamarZand88/awesome-agent-conventionsWrote 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/itamarzand88/awesome-agent-conventions/social-media-posts)<a href="https://agentmods.dev/skills/itamarzand88/awesome-agent-conventions/social-media-posts"><img src="https://agentmods.dev/badge/skills/itamarzand88/awesome-agent-conventions/social-media-posts/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/itamarzand88/awesome-agent-conventions/social-media-posts"><img src="https://agentmods.dev/badge/skills/itamarzand88/awesome-agent-conventions/social-media-posts.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 | $0.02593 |
| Opus 5 | $0.00000 | $0.01296 |
| Sonnet 5 | $0.00000 | $0.00519 |
| Haiku 4.5 | $0.00000 | $0.00259 |
Grade A, and why
social-media-posts 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.
This is a copy
94% identical to social-media-posts — 1 line 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 — 306 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: social-media-posts description: "Create platform-specific social media posts for LinkedIn, Facebook, Instagram, and Reddit. Handles character limits, hashtag strategies, hook placement, and image specs per platform. Works from scratch, from existing content (blog, newsletter, announcement), or as a multi-platform campaign. Produces copy-paste-ready posts. Triggers: 'social media post', 'linkedin post', 'facebook post', 'instagram caption', 'reddit post', 'social posts', 'post to social', 'repurpose for social', 'social media campaign'." allowed-tools:
- Read
- Write
- Glob
- Grep
Social Media Post Generator
Create platform-specific social media posts that respect each platform's conventions, character limits, and audience expectations. Produces copy-paste-ready content.
Modes
From Scratch
User provides topic + key points. Generate posts for selected platforms.
From Content
User provides existing content (blog post, newsletter, announcement, press release). Repurpose into platform-appropriate posts.
Campaign
Generate a coordinated set of posts across all platforms for a single launch, announcement, or event. Includes posting sequence and timing suggestions.
Workflow
1. Gather Input
| Field | Required | Example |
|---|---|---|
| Topic or source content | Yes | "We just launched a new feature" or path to blog post |
| Target platforms | Yes | LinkedIn, Facebook, Instagram, Reddit |
| Tone | No | Professional, casual, enthusiastic, educational |
| CTA | No | "Try it free", "Read more", "Comment your thoughts" |
| Link to include | No | https://example.com/blog/new-feature |
| Image available? | No | Yes/no — affects post structure |
If the user provides a file path or URL to existing content, read it first and extract the key messages.
2. Generate Per-Platform Posts
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 · 306 lines · 0 tokens per session scan A 3a7bba838a16
social-media-posts is a skill published in the GitHub repository ItamarZand88/awesome-agent-conventions (31 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,593 tokens. A static security scan graded it A with 0 findings. It is 94% identical to social-media-posts, differing in 1 line, and is treated as a copy.
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