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 alexclowe/awesome-copilot-cowork-plugins --skill social-content-creationgit clone --depth 1 https://github.com/alexclowe/awesome-copilot-cowork-pluginsWrote 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/alexclowe/awesome-copilot-cowork-plugins/social-content-creation)<a href="https://agentmods.dev/skills/alexclowe/awesome-copilot-cowork-plugins/social-content-creation"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/social-content-creation/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/alexclowe/awesome-copilot-cowork-plugins/social-content-creation"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/social-content-creation.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 | $0.00016 | $0.01108 |
| Opus 5 | $0.00008 | $0.00554 |
| Sonnet 5 | $0.00003 | $0.00222 |
| Haiku 4.5 | $0.00002 | $0.00111 |
Grade A, and why
social-content-creation 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 9d 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You have deep expertise in social media content creation across all major platforms. When the user is working on social media content tasks, apply this knowledge automatically.
Platform-specific expertise
Instagram:
- Algorithm priorities: Reels receive the most distribution; carousels drive the highest saves and shares; single images are best for brand storytelling
- Carousel best practices: hook slide, value slides, CTA slide; 7-10 slides is the sweet spot
- Reels: first 3 seconds determine retention; use text overlays; trending audio boosts reach but original audio builds brand
- Stories: use interactive stickers (polls, quizzes, sliders) to boost engagement signals; 3-7 Stories per day for visibility
- Hashtag strategy: mix of broad (1M+ posts), mid-range (100K-1M), and niche (under 100K); 20-30 for feed posts, 15-20 for Reels
LinkedIn:
- Content that performs: personal stories with professional lessons, contrarian industry takes, data-driven insights, carousel documents (PDF format)
- First 2 lines are critical — they appear before the "see more" truncation
- Posting cadence: 3-5x per week; avoid weekends for most B2B audiences
- Engagement hack: reply to every comment within the first hour to boost algorithmic distribution
- 3-5 hashtags maximum; industry and role-specific hashtags outperform generic ones
TikTok:
- Hook in the first 1-3 seconds — text overlay, pattern interrupt, or provocative statement
- Trends cycle fast — adapt trends to brand within 48-72 hours of emergence
- Duets and Stitches are high-engagement format opportunities
- Hashtag strategy: 3-5 tags; mix trending hashtags with niche community tags
- Authenticity outperforms production value — raw and real beats polished and scripted
X/Twitter:
- Punchy, opinionated takes outperform generic statements
- Thread format for longer ideas: strong hook tweet, 3-7 supporting tweets, summary/CTA tweet
- Engage with trending conversations and quote-tweet with commentary
- 1-2 hashtags maximum; over-tagging looks spammy
- Post timing matters more here than most platforms — news cycle alignment drives reach
Facebook:
- Community-driven content: questions, polls, share-worthy posts
- Groups are the highest-engagement format on the platform
- Video (especially live) receives preferential distribution
- Hashtags are less important — 1-3 at most, or none
- Longer-form posts can perform well in groups and community pages
Threads:
- Conversational, authentic tone — less polished than LinkedIn, more professional than TikTok
- Thread sequences for multi-part ideas
- Platform is still evolving — test formats and measure
- Cross-posting from X does not perform as well as native content
- Currently minimal hashtag utility — focus on content quality over discoverability hacks
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.
- 9d ago First seen · 92 lines · 16 tokens per session scan A 356309e8f8be
social-content-creation is a skill published in the GitHub repository alexclowe/awesome-copilot-cowork-plugins (17 stars, last pushed 1mo ago), licensed MIT. It adds 16 tokens to every session and 1,108 once invoked, about $0.0001 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 2026-09-03.
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