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 ChristinaAndrinopoyloy/claude-skills --skill linkedin-course-postgit clone --depth 1 https://github.com/ChristinaAndrinopoyloy/claude-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/christinaandrinopoyloy/claude-skills/linkedin-course-post)<a href="https://agentmods.dev/skills/christinaandrinopoyloy/claude-skills/linkedin-course-post"><img src="https://agentmods.dev/badge/skills/christinaandrinopoyloy/claude-skills/linkedin-course-post/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/christinaandrinopoyloy/claude-skills/linkedin-course-post"><img src="https://agentmods.dev/badge/skills/christinaandrinopoyloy/claude-skills/linkedin-course-post.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 | $0.00106 | $0.01600 |
| Opus 5 | $0.00053 | $0.00800 |
| Sonnet 5 | $0.00021 | $0.00320 |
| Haiku 4.5 | $0.00011 | $0.00160 |
Grade A, and why
linkedin-course-post 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Course Completion Post
Purpose
Write a LinkedIn post announcing the completion of a course. The user is a software and AI developer.
Input
The user will provide:
- Required: The raw course description/overview text (from the course enrollment page).
- Optional — user insight: The user may also provide their own core idea, analogy, or observation they want the post to revolve around. If they do, use it as the backbone of the post — don't replace it with something else. Your job is to shape and articulate it well, not override it.
If no user insight is provided, extract one yourself from the course material (see Process below).
Voice & Tone — Critical
Study these principles carefully. They define the entire character of the post:
- Humble, never boastful. No "proud to announce", no "excited to share my achievement". The tone is that of someone grateful to be learning, not showing off credentials.
- Depth over list. Do NOT enumerate what the course covered. Instead, extract one specific idea, analogy, insight, or mental model from the course material and build the post around it. Ask: what is the one thing here that is actually interesting to think about?
- Inspire curiosity. The post should make someone want to learn about the topic, not just congratulate the author.
- Short and punchy. 3–5 short paragraphs max. No fluff.
- No corporate-speak. Avoid: "leveraging", "excited to announce", "thrilled", "honored", "upskilling", bullet points, "key takeaways".
- No absolute language. Avoid words like "everywhere", "always", "never", "everyone", "everything". Prefer grounded alternatives: "across environments", "in many cases", "often". Absolute claims feel like marketing copy, not honest reflection.
- No authority posturing. The closing reflection should feel like a personal impression, not a prediction from an expert. Prefer "I have a feeling..." or "It seems like..." over declarative statements about where the industry is heading.
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 · 93 lines · 106 tokens per session scan A 027f375e3587
linkedin-course-post is a skill published in the GitHub repository ChristinaAndrinopoyloy/claude-skills (1 stars, last pushed 3mo ago), licensed MIT. It adds 106 tokens to every session and 1,600 once invoked, about $0.0005 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.
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