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 WingedGuardian/GENesis-AGI --skill linkedin-hook-writergit clone --depth 1 https://github.com/WingedGuardian/GENesis-AGIWrote 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/wingedguardian/genesis-agi/linkedin-hook-writer)<a href="https://agentmods.dev/skills/wingedguardian/genesis-agi/linkedin-hook-writer"><img src="https://agentmods.dev/badge/skills/wingedguardian/genesis-agi/linkedin-hook-writer/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/wingedguardian/genesis-agi/linkedin-hook-writer"><img src="https://agentmods.dev/badge/skills/wingedguardian/genesis-agi/linkedin-hook-writer.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 | $0.00080 | $0.01272 |
| Opus 5 | $0.00040 | $0.00636 |
| Sonnet 5 | $0.00016 | $0.00254 |
| Haiku 4.5 | $0.00008 | $0.00127 |
Grade A, and why
linkedin-hook-writer 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 11d 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Hook Writer
Purpose
Generate attention-grabbing opening lines for LinkedIn posts that earn the click to "...see more" — without resorting to the clickbait patterns that mark content as AI-generated or engagement-farmed. The hook must be honest: it promises something the post actually delivers.
Voice Loading
This skill's entire value depends on producing hooks that are NOT on the anti-slop banned-openers list.
- Read
../voice-master/references/anti-slop.md— apply the Universal and Professional / LinkedIn sections. The Banned Openers subsection under Professional / LinkedIn is the hard constraint for this skill. - Load the user's voice via voice-master: read
../voice-master/SKILL.mdand follow its User Calibration Overlay section. Voice-master loads social-medium exemplars from the user overlay (or template fallback with warning if no overlay).
If no overlay is present, voice-master falls back to generic voice guidance and warns — note this in your output.
How LinkedIn Hooks Work
LinkedIn shows approximately the first 140-210 characters of a post before truncating with "...see more." The hook must accomplish two things in that space:
- Create genuine curiosity — the reader wants to know more
- Signal quality — the reader believes the rest is worth their time
A hook that creates curiosity but signals low quality gets skipped. A hook that signals quality but creates no curiosity gets polite scrolling.
Hook Patterns (Authentic)
The Specific Detail
Start with a concrete, surprising detail that makes the reader want context.
- "We migrated 340 microservices in 6 weeks. Here's what almost killed us."
- "My team's Kubernetes bill dropped 40% because of a config nobody checked."
- "I interviewed 12 candidates last month. One question separated the strong ones."
Why it works: Specific numbers and details signal real experience. The reader wants the story behind the detail.
The Honest Admission
Start by admitting something most people in your position wouldn't say.
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.
- 11d ago First seen · 147 lines · 80 tokens per session scan A 8fb97413bb51
linkedin-hook-writer is a skill published in the GitHub repository WingedGuardian/GENesis-AGI (96 stars, last pushed today), licensed MIT. It adds 80 tokens to every session and 1,272 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
search
Unified academic paper search, citation chains, paper download (arXiv LaTeX/PDF, Sci-Hub), figure extraction from papers, LaTeX source reading, BibTeX fetching, web search, and browser automation for Cloudflare-protected sites (PRL, Science, Nature, Google Scholar).
qec-construct
Verifier-in-the-loop CONSTRUCTION of quantum error-correcting codes with transversal non-Clifford gates (CCZ/T). Applies whenever the project goal is a new or better code/construction — INCLUDING search-phrased goals ("find codes beating X"), where the construct-loop (propose algebraic rule → qverify → debug) is the…
figure
Hybrid figure pipeline (Nano Banana raster + rembg background removal + TikZ vector assembly). Includes a TikZ template library covering quantum circuits (quantikz), Feynman diagrams (tikz-feynman), circuits (circuitikz), molecules (chemfig), 2D/3D plots (pgfplots), energy-level diagrams, phase-space trajectories…
memory
Cross-project research memory. Deep-dive past projects' notes, record corrections, and save cross-project insights across all Luxas research projects.
compute-methods
Environment-verified friction sheets for field-standard computational tools (Rydberg pair interactions, QEC circuits, qLDPC decoding, code distance, atom dynamics, optics, quantum chemistry). Each sheet lists the tools the field actually uses, the first-use frictions that make agents wrongly abandon them, and one-line…
monetization
Estrategia e implementacao de monetizacao para produtos digitais - Stripe, subscriptions, pricing experiments, freemium, upgrade flows, churn prevention, revenue optimization e modelos de negocio SaaS.