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-personal-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-personal-posts)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/linkedin-personal-posts"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/linkedin-personal-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-personal-posts"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/linkedin-personal-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 | $0.00027 | $0.02588 |
| Opus 5 | $0.00014 | $0.01294 |
| Sonnet 5 | $0.00005 | $0.00518 |
| Haiku 4.5 | $0.00003 | $0.00259 |
Grade A, and why
linkedin-personal-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 — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Personal Posts
Generate a series of personal story posts that build credibility and attract buyers — using the 5-section storytelling template. Takes a LinkedIn content guide (ICP + offer + pains→goals) and hooks as context, then outputs 3-5 ready-to-post personal stories.
Source: Nick Broekema (Content Design) — "How I write personal stories to build credibility and attract" framework.
Why personal stories? They rank #1 in LinkedIn content effectiveness. The algorithm rewards them because they generate the highest engagement, longest dwell time, and most saves. They're also the hardest to fake — which is exactly why they work.
How this differs from linkedin-expert-posts: That skill handles educational/framework content. This skill is exclusively personal storytelling — a rigid 5-section template applied across a series of posts, each mapped to a specific ICP pain→goal pair.
Doctrine inherited (Step 7 — 0626 rollout, locked 2026-06-04)
Output complies with output-tenets.md, output-simplicity.md, ai-speak-anti-patterns.md. Step 6 calibration: see [[feedback_execution_doctrine_refinements_step6]].
Refinements applied: R1 (post body is end-customer-facing — no source tags), R3 (operator-direct first-person voice), R9 (5-section template steps verb-led).
The 5-Section Personal Story Template
Every post follows this exact structure:
┌─────────────────────────────────────────┐
│ 1. PAINS ICP (OR PEERS) │
│ Hook with a mutual pain │
│ → Start with a shared struggle │
│ → Use words your audience uses │
│ → Use real examples so it resonates │
│ → Address real emotions/frustrations │
│ → Make the story relatable & sincere │
├─────────────────────────────────────────┤
│ 2. BREAK │
│ Let the post breathe │
│ → Breaks (re)gain attention │
│ → Breaks allow for "plot twists" │
│ → Breaks prevent boring writing │
│ → 1-3 short lines that shift energy │
├─────────────────────────────────────────┤
│ 3. SOLUTION │
│ Present the problem you solved │
│ → Describe the results of inaction │
│ → Show how tough it was for you │
│ → Show how you mastered this │
│ → Build credibility with evidence │
├─────────────────────────────────────────┤
│ 4. ICP'S IDEAL SITUATION │
│ Paint the outcome your ICP desires │
│ → Describe the solution's outcome │
│ → Paint a picture your ICP desires │
│ → Or: your peer's desire │
│ → Present the outcome as a solution │
│ → Make it exciting for your audience │
├─────────────────────────────────────────┤
│ 5. MOTIVATIONAL ENDING │
│ Close with purpose │
│ → Personal story = helping people │
│ → Personal story = attracting people │
│ → Personal story = encouraging people│
│ → Personal story = about what you do │
│ →...while building credibility + │
│ attracting simultaneously │
└─────────────────────────────────────────┘
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 · 225 lines · 107 tokens per session scan A 7e12017680db
linkedin-personal-posts is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 27 tokens to every session and 2,588 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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