linkedin-hook-extractor SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
linkedin-hook-extractor from sergebulaev/linkedin-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add sergebulaev/linkedin-skills/linkedin-hook-extractor@git:20261015.aaa47eaPins git:20261015.aaa47ea in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- sergebulaev/linkedin-skills
- Path
.codex-marketplace/linkedin-skills/skills/linkedin-hook-extractor/SKILL.md- Versions recorded
- 7
- Latest version
- git:20261015.aaa47ea, committed Oct 15, 2026
- First version recorded
- May 19, 2026
- Size
- 4,807 bytes
- Repository stars
- 5,014
- License
- MIT
Reverse-engineer the hook formula from a viral LinkedIn post URL. Returns which of the 20 canonical 2026 formulas it uses (anaphora, R.I.P., year-pivot, time-anchor, curiosity-gap, contrarian, comment-gate, emotional cold-open, named-gratitude, and 11 more), why it worked, and a blank template. Use to learn from a competitor's post, not to write your own (use linkedin-post-writer).
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# LinkedIn Hook Extractor Paste a viral LinkedIn post URL. Get back: which hook formula it uses, the exact structure, why it worked, and a blank template mapped to your topic. ## When to use - User finds a viral post they want to study - User wants to replicate a specific creator's pattern - Before `linkedin-post-writer` to seed a draft with a proven structure ## Input A LinkedIn post URL (any type: activity, share, ugcPost). ## Output - **Formula identified** (F1-F20 from `../../references/hook-formulas.md`) with confidence score - **Structural breakdown:** - Hook lines (first 210 chars) - Body architecture (sections + what each does) - Close pattern - Reaction-triggering devices (numbers, named entities, vulnerabilities) - **Why it worked** psychologically - **Blank template** filled with slot markers matched to the original, ready for the user's voice …
Read the whole file at its exact version.
How to install
mdr add sergebulaev/linkedin-skills/linkedin-hook-extractor@sha256:32bcf6fab0db0a96The line at the top of this page pins the label git:20261015.aaa47ea, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_7a3kdcawjl3nbbmw)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between May 19, 2026 and Oct 15, 2026, about one every 25 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261015.aaa47ea latest | 2026-10-15 | aaa47ea | 4,807 B | A | view · diff |
| git:20260909.093982e | 2026-09-09 | 093982e | 4,407 B | A | view · diff |
| git:20260905.388f0c3 | 2026-09-05 | 388f0c3 | 4,405 B | A | view · diff |
| git:20260903.bb42f73 | 2026-09-03 | bb42f73 | 4,037 B | A | view · diff |
| git:20260630.b4fc4c0 | 2026-06-30 | b4fc4c0 | 3,125 B | A | view · diff |
| git:20260521.65b8a91 | 2026-05-21 | 65b8a91 | 2,699 B | A | view · diff |
| git:20260519.c627455 | 2026-05-19 | c627455 | 2,728 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4807 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
sergebulaev/linkedin-skills · 5,014 stars · license MIT · pushed 2026-10-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_7a3kdcawjl3nbbmw GET https://markdownregistry.com/api/v1/resolve?ref=sergebulaev/linkedin-skills/linkedin-hook-extractor GET https://markdownregistry.com/api/v1/blob/32bcf6fab0db0a960ef15f4cb8bb51d0ca2396648ba518b82a88468d13a95082
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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