arthurzakirov/proofstack165 installs

linkedin-content-validation

Q: How do I install this agent skill?

Run npx skills add https://github.com/arthurzakirov/proofstack --skill linkedin-content-validation.

Q: Is this agent skill safe to install?

Review the displayed partner audits, complete source, permissions, dependencies, and exact revision before installing.

Use when drafting, saving, formatting, validating, or repairing LinkedIn profile and content assets in this repository, including headlines, About sections, Experience descriptions, project copy, posts, articles, and LinkedIn image specs.

How do I install this agent skill?

npx skills add https://github.com/arthurzakirov/proofstack --skill linkedin-content-validation

view source ↗

Is this agent skill safe to install?

Gen Agent Trust Hubpass
The skill establishes a workflow for formatting and validating LinkedIn content using local Python scripts. No security risks were identified.
Socketpass
No alerts
Snykpass
Risk: LOW · No issues

What does this agent skill do?

LinkedIn Content Validation

Use this skill after any LinkedIn/profile-content drafting skill produces copy or visual specs.

Workflow

Save generated text under content/ as Markdown with YAML frontmatter.
Save generated image specs under content/ or assets/ as YAML.
Run the formatter.
Run the validator.
If validation fails, repair the draft using the exact machine-readable error.
Repeat until validation passes.

Markdown Contract

Every LinkedIn Markdown file must use frontmatter:

---
platform: linkedin
section: about
---

Text body here.

Supported section values:

profile_headline
about
experience_description
project_title
project_description
post
comment
article_title
article_body

Commands

python3 scripts/format_linkedin_text.py --write content
python3 scripts/format_linkedin_text.py --check content
python3 scripts/validate_linkedin_assets.py content
python3 scripts/validate_linkedin_assets.py content --config config/linkedin_limits.yaml

Repair Priorities

Preserve:

quantified hook
reader benefit
proof metrics
mechanism/framework
CTA

Remove first:

filler words
repeated qualifiers
duplicated concepts
excessive internal details
weak adjectives
redundant setup

Do not remove blank lines just to fit a character limit. If count_mode is non_newline_unicode_codepoints, shorten actual words instead.

How can the creator link this skill?

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/arthurzakirov/proofstack/linkedin-content-validation">View linkedin-content-validation on skillZs</a>