Linkedin Hook Lab
Generate ten scored hook variants for one topic, one per formula, and recommend the strongest two. Use when you have a post topic and need the opening line that stops the scroll.
Install
$ agentstack add skill-styfinity-linkedin-engine-linkedin-hook-lab ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-styfinity-linkedin-engine-linkedin-hook-lab) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
LinkedIn Hook Lab
The hook decides whether the post gets read. This skill writes ten openers across ten proven formulas, scores them, and hands you the two best.
Inputs
- The topic and the audience it is for: $ARGUMENTS
- The brief (persona tone, pains, offer, voice profile) loads automatically.
Do this
- Write one hook for EACH of the ten formulas, in this order:
- Pattern-Break (says the unexpected thing first)
- Counter-Intuitive Insight (the truth most people get backwards)
- Experience-Led Observation (what you noticed doing the work)
- Direct Consequence (the cost of ignoring this)
- Confession + Result (an admission plus what it produced)
- Numbered Promise (a specific count of takeaways)
- Enemy-Hero-Gasoline-Teaser (name the villain, the win, the open loop)
- BREAKING / News (frame it as fresh signal)
- Stat-Anchored (X% vs Y%, a real or clearly-illustrative contrast)
- Mechanism-Reveal (the "here is how it actually works" angle)
- Keep each hook under 235 characters so it survives the "see more" cut. Count them.
- Score each hook 1-10 on the four value levers (dream outcome, perceived likelihood, time-to-result, effort-and-sacrifice) plus scroll-stop power.
- Pick the top two. Say in one line why each beats the rest.
Output
A table of the ten hooks: formula, hook text, character count, score. Then the recommended two, each with a one-line reason. End with a note: pass the chosen hook to the post draft, then run /linkedin-humanizer on the result.
Rules
- Counter-intuitive and BREAKING hooks must still be true and defensible. No claim the body cannot pay off.
- No clickbait. If the hook over-promises, score it down and say so.
- Real numbers only with honest attribution: "a post that did 12,000 impressions", never a named person or company.
- No em-dashes. Draft only - the operator picks the winner and writes the post.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: styfinity
- Source: styfinity/linkedin-engine
- License: MIT
- Homepage: https://styfinity.com
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.