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 matteotitta/genesys-skills --skill linkedin-expert-postsgit clone --depth 1 https://github.com/matteotitta/genesys-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/matteotitta/genesys-skills/linkedin-expert-posts)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/linkedin-expert-posts"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/linkedin-expert-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/matteotitta/genesys-skills/linkedin-expert-posts"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/linkedin-expert-posts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00028 | $0.02450 |
| Opus 5 | $0.00014 | $0.01225 |
| Sonnet 5 | $0.00006 | $0.00490 |
| Haiku 4.5 | $0.00003 | $0.00245 |
Grade A, and why
linkedin-expert-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 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 — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Expert Posts
Write authority-tier LinkedIn posts that build topical credibility and trust with your ICP. This skill covers the MOFU layer — between broad personal stories (TOFU) and sales-conversion posts (BOFU). These are the posts that make people save, share with their team, and think "this person gets it."
Doctrine inherited (Step 7 — 0626 rollout, locked 2026-06-04)
Output complies with output-tenets.md, output-simplicity.md, ai-speak-anti-patterns.md (banned X-not-Y hooks, no engagement-farming closers). Step 6 calibration: see [[feedback_execution_doctrine_refinements_step6]].
Refinements applied: R1 (post body is end-customer-facing — no source tags), R3 (capability-led framing), R6 (MOFU close = read more / blog as fallback; never engagement-farming question), R9 (claim-led hooks per Step 6).
Claude Code Triggers
Invoke this skill when user says:
- "contrarian take"
- "hot take on [topic]"
- "expert framework post"
- "industry analysis"
- "opinionated post"
- "thought leadership"
- "breakdown of [topic]"
- "prediction post"
- "what most [role]s get wrong"
Do NOT invoke when:
- User wants personal story posts → use
linkedin-personal-posts - User wants case study / client proof → use
linkedin-sales-posts - User wants a post about their product/offer → use
linkedin-sales-posts - User wants hook variations only → use
linkedin-hooks
Inputs
Required
| Input | Description | Source |
|---|---|---|
| Topic/angle | The expert view or framework to present | User provides |
| Pillar | Which content pillar this serves (Authority/MOFU) | Inferred or user confirms |
Optional (improve quality)
| Input | How it helps |
|---|---|
| Supporting proof | Data points, research, personal observations, named examples |
| Audience context | Who the ICP is — helps calibrate the contrarian angle |
| Preferred post type | One of the 5 post types below |
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 · 222 lines · 124 tokens per session scan A 9d2953b464cd
linkedin-expert-posts is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 2,450 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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