trend-linkedin SKILL.md skillA
trend-linkedin from muvon/octomind-tap is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add muvon/octomind-tap/trend-linkedin@git:20261025.9107877Pins git:20261025.9107877 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- muvon/octomind-tap
- Path
skills/trend-linkedin/SKILL.md- Versions recorded
- 7
- Latest version
- git:20261025.9107877, committed Oct 25, 2026
- First version recorded
- Jul 13, 2026
- Size
- 16,434 bytes
- Repository stars
- 6
- License
- Apache-2.0
Harvest LinkedIn posts and conversations into a sourced brief for a specific audience. Activate for LinkedIn trend scans or research briefs; capture current surfaces, buyer questions, format patterns, and evidence limitations without inventing ranking weights.
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
## Overview Collect evidence of what relevant LinkedIn audiences are discussing and how posts deliver useful substance. Return source-linked observations and bounded opportunities; drafting and publishing are downstream steps. Preserve the distinction between a public observation, a study result, and a craft inference. ## Mental model LinkedIn uses profile information and interaction history in retrieval and ranking; it publishes no universal comment multiplier or single dominant signal (official, LinkedIn Feed Engineering, 2026-03). Public engagement cannot reveal dwell time, private conversions, or why a ranker distributed a post. Don't infer those from length or paragraph rhythm (directional). Keep personal profiles separate from Company Pages. Metricool found similar impressions per post, but profile engagement averaged 2.60% versus 1.60% for Pages (measured, Metricool, n=673,658 posts from 63,108 accounts, 2026-04). Account type belongs in every comparison. ## Harvest procedure ### Establish scope and surfaces …
Read the whole file at its exact version.
How to install
mdr add muvon/octomind-tap/trend-linkedin@sha256:51949e1defc5c805The line at the top of this page pins the label git:20261025.9107877, 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_eiusnbcgthvbr3tq)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between Jul 13, 2026 and Oct 25, 2026, about one every 17 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261025.9107877 latest | 2026-10-25 | 9107877 | 16,434 B | A | view · diff |
| git:20261013.a69e0bb | 2026-10-13 | a69e0bb | 16,442 B | A | view · diff |
| git:20260905.7fc6c25 | 2026-09-05 | 7fc6c25 | 16,053 B | A | view · diff |
| git:20260905.4909a33 | 2026-09-05 | 4909a33 | 13,301 B | A | view · diff |
| git:20260903.e492851 | 2026-09-03 | e492851 | 8,878 B | A | view · diff |
| git:20260903.a6a1fc3 | 2026-09-03 | a6a1fc3 | 8,841 B | A | view · diff |
| git:20260713.4d90955 | 2026-07-13 | 4d90955 | 8,889 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 (16434 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
muvon/octomind-tap · 6 stars · license Apache-2.0 · pushed 2026-11-08 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_eiusnbcgthvbr3tq GET https://markdownregistry.com/api/v1/resolve?ref=muvon/octomind-tap/trend-linkedin GET https://markdownregistry.com/api/v1/blob/51949e1defc5c8052c7655045856a04bcc545f335a125f5b19f6b8865bf62384
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.