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 Livus-AI/Skills-MCP --skill linkedin-post-adaptergit clone --depth 1 https://github.com/Livus-AI/Skills-MCPWrote 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/livus-ai/skills-mcp/linkedin-post-adapter)<a href="https://agentmods.dev/skills/livus-ai/skills-mcp/linkedin-post-adapter"><img src="https://agentmods.dev/badge/skills/livus-ai/skills-mcp/linkedin-post-adapter/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/livus-ai/skills-mcp/linkedin-post-adapter"><img src="https://agentmods.dev/badge/skills/livus-ai/skills-mcp/linkedin-post-adapter.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 | $0.00052 | $0.00710 |
| Opus 5 | $0.00026 | $0.00355 |
| Sonnet 5 | $0.00010 | $0.00142 |
| Haiku 4.5 | $0.00005 | $0.00071 |
Grade A, and why
linkedin-post-adapter 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Post Adapter Skill
Transform a Twitter thread into a polished, professional LinkedIn post optimized for B2B engagement and discussion.
Required Inputs
- Twitter Thread - Output from
twitter-thread-generatorskill - Newsletter Link - URL for the first comment CTA
- Relevant Hashtags (optional) - 3-5 industry hashtags
Key Adaptations
| Element | ||
|---|---|---|
| Tone | Casual, punchy | Professional, insightful |
| Length | Short tweets | 2-3 paragraphs |
| Hook | Bold/provocative | Benefit-oriented |
| CTA | In final tweet | In first comment |
| Engagement | Retweets | Comments/discussion |
Post Structure
Main Post
[Professional Hook - benefit-oriented opening]
[Paragraph 1: Core narrative and context - expand on the story]
Here are the key takeaways:
• [Takeaway 1 - from thread insights]
• [Takeaway 2 - from thread insights]
• [Takeaway 3 - from thread insights]
[Paragraph 2: Why this matters - strategic implications]
This trend is reshaping how [industry] operates. Those who adapt early will have a significant advantage.
What's your take on this? How is your team approaching [topic]?
#hashtag1 #hashtag2 #hashtag3
First Comment (Post Immediately After)
For a deeper analysis and weekly insights on [topic], check out my free newsletter.
We break down the most important developments every week.
Link: [Newsletter URL]
Writing Guidelines
- Professional but not stiff - conversational expertise
- Use bullet points for scanability
- End with a question to drive comments
- 3-5 relevant hashtags - not more
- CTA in first comment - maximizes reach (LinkedIn algorithm)
Hook Adaptations
| Twitter Hook | LinkedIn Adaptation |
|---|---|
| "AI won't take your job..." | "The professionals thriving in 2025 share one thing in common..." |
| "7 AI tools that..." | "After testing 50+ AI tools, these 7 are actually worth your time:" |
| "Everyone says X. They're wrong." | "The conventional wisdom about X is costing companies millions:" |
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 · 105 lines · 52 tokens per session scan A b7ae3878e181
linkedin-post-adapter is a skill published in the GitHub repository Livus-AI/Skills-MCP (2 stars, last pushed 3mo ago), licensed MIT. It adds 52 tokens to every session and 710 once invoked, about $0.0003 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 2026-08-31.
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…