linkedin-cringe

linkedin-cringe is a Social media content skill for AI agents, published by matteobaccan in the LinkedInCringe repository on GitHub. Skillspace rates linkedin-cringe D (63/100) and it passed the safety scan; the rating is based on static analysis only.

Genera post LinkedIn cringe (italiano di default, ma funziona in qualunque lingua), calibrati su livello di cringe (1-10), registro (credibile / parodico / surreale deadpan alla Lynch) e moduli cringe scelti da un catalogo di 37, con la possibilità di partire da un fatto reale (una notizia data dall'utente o cercata dalla skill). Usala quando l'utente chiede un post LinkedIn cringe, motivazionale, da fuffaguru, da founder, da HR o da boomer, un post "ispirato all'attualità", un post surreale o onirico "alla David Lynch", oppure vuole parodiare lo stile LinkedIn.

Grade
D
Quality
63 / 100
Safety
Passed
GitHub stars
20

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
90 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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