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-hooksgit 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-hooks)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/linkedin-hooks"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/linkedin-hooks/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-hooks"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/linkedin-hooks.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 | $0.00026 | $0.02160 |
| Opus 5 | $0.00013 | $0.01080 |
| Sonnet 5 | $0.00005 | $0.00432 |
| Haiku 4.5 | $0.00003 | $0.00216 |
Grade A, and why
linkedin-hooks 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Hooks
Generate a personalised library of LinkedIn post hooks using Nick Broekema's 42 hook templates (14 categories), enriched with ICP data, offer context, and real buyer language from sales calls.
Doctrine inherited (Step 7 — 0626 rollout, locked 2026-06-04)
Output complies with output-tenets.md, output-simplicity.md, ai-speak-anti-patterns.md (no X-not-Y hooks, no false-contrast structures per [[feedback_no_x_not_y_hooks]]). Step 6 calibration: see [[feedback_execution_doctrine_refinements_step6]].
Refinements applied: R1 (hook library is internal-reference), R3 (operator-direct framing in hooks), R9 (verb-led category names). Hook generation explicitly bans X-not-Y false-contrast structures.
What this produces:
- Category relevance scoring — which of the 14 hook categories fit this ICP + offer
- 20-36 personalised hooks — across 8-12 relevant categories
- Top 5 strongest hooks — ranked by specificity and curiosity gap
- Usage guide — how to feed hooks into post-writing skills
How it differs from the post-writing skills: linkedin-expert-posts / linkedin-personal-posts / linkedin-sales-posts write full posts and generate 2-3 hooks as part of the process. This skill is a dedicated hook factory — it produces a reusable library of hooks in bulk, designed to be picked from over weeks of content creation.
Source: Nick Broekema (Content Design) — "42 Post Hook Templates" framework.
Claude Code Triggers
Invoke this skill when user says:
- "Generate LinkedIn hooks for [client/person]"
- "Create a hook library for [client]"
- "LinkedIn hook ideas for [topic/ICP]"
- "Batch hooks from my content guide"
- "Hook factory for [client]"
- "Generate hooks from sales calls"
Do NOT invoke when:
- User wants to write a full LinkedIn post → Use
linkedin-expert-posts/linkedin-personal-posts/linkedin-sales-posts - User wants to build an ICP + offer → Use
linkedin-content-guide - User wants to optimize their LinkedIn profile → Use
linkedin-profile - User wants a single hook for a specific post → Pick one from existing library
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 · 185 lines · 101 tokens per session scan A f75b88f6a1af
linkedin-hooks is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 2,160 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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