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 dazz/kostja94-marketing-skills --skill social-sharegit clone --depth 1 https://github.com/dazz/kostja94-marketing-skillsWrote 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/dazz/kostja94-marketing-skills/social-share)<a href="https://agentmods.dev/skills/dazz/kostja94-marketing-skills/social-share"><img src="https://agentmods.dev/badge/skills/dazz/kostja94-marketing-skills/social-share/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/dazz/kostja94-marketing-skills/social-share"><img src="https://agentmods.dev/badge/skills/dazz/kostja94-marketing-skills/social-share.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 | $0.00092 | $0.01246 |
| Opus 5 | $0.00046 | $0.00623 |
| Sonnet 5 | $0.00018 | $0.00249 |
| Haiku 4.5 | $0.00009 | $0.00125 |
Grade A, and why
social-share-generator 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
100% identical to social-share-generator — 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Components: Social Share Buttons
Guides implementation of share buttons that let users share the current page (article, post, product) to social platforms. Distinct from social profile links (footer links to your brand's X, LinkedIn, etc.) — share buttons share this content.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Scope
- Share buttons: Share current page URL to X, LinkedIn, Facebook, WhatsApp, etc.
- Not social profile links (e.g. "Follow us on X") — those live in footer/nav
Why It Matters
- Websites with visible social share icons tend to see higher social engagement
- Share buttons amplify reach; Open Graph and Twitter Cards control preview — see open-graph, twitter-cards
Placement (Article Pages)
Fewer, better-placed buttons outperform scattered placement. Research: removing 80% of buttons and repositioning the remaining 20% at high-emotion moments can 3× conversion on share actions.
| Placement | Best For | Notes |
|---|---|---|
| After first paragraph | Most articles | Catches speed-readers; visible early |
| Sticky sidebar | Long-form (desktop) | Always visible; consider hiding on mobile |
| Below title / hero | Short posts | High visibility |
| End of article | All | Natural completion point; pair with CTA |
| Mid-article (after key insight) | Long content | Place at friction points (after surprising stat, before CTA) |
Avoid: Dozens of icons; every platform when audience uses 2–3. Choose 3–5 platforms that match your audience (e.g. B2B: X, LinkedIn; B2C: X, Facebook, WhatsApp).
Share URLs (Intent Links)
Use platform share/intent URLs so users share with one click:
| Platform | Share URL pattern |
|---|---|
| X (Twitter) | https://twitter.com/intent/tweet?url={url}&text={text} |
https://www.linkedin.com/sharing/share-offsite/?url={url} |
|
https://www.facebook.com/sharer/sharer.php?u={url} |
|
https://wa.me/?text={url}%20{text} |
|
| Telegram | https://t.me/share/url?url={url}&text={text} |
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 · 101 lines · 92 tokens per session scan A ae8690156c23
social-share-generator is a skill published in the GitHub repository dazz/kostja94-marketing-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 92 tokens to every session and 1,246 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to social-share-generator, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…