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linkedin-automation

Automate LinkedIn tasks via Rube MCP (Composio): create posts, manage profile, company info, comments, and image uploads. Always search tools first for current schemas.

56

Quality

65%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/linkedin-automation/SKILL.md

The canonical home for this skill is linkedin-automation in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

61%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is well-structured and actionable with concrete tool sequences, but it suffers from redundant pitfall sections and lacks an explicit validation checkpoint before the destructive delete operation.

Suggestions

Add an explicit confirmation/validation step before the destructive 'Delete a Post' workflow (e.g., confirm the post_id with the user and warn deletion is permanent before calling the tool).

Deduplicate the 'Known Pitfalls' section against the per-workflow 'Pitfalls' blocks to reduce token cost.

Collapse the 'Common Patterns' section where it restates workflow steps already covered, keeping only genuinely cross-cutting patterns.

DimensionReasoningScore

Conciseness

Mostly efficient with tables and tool sequences, but 'Known Pitfalls' and 'Common Patterns' repeat information already covered in per-workflow Pitfalls sections (URN formats, rate limits, character limits).

3 / 5

Actionability

Concrete tool slugs, named parameters, ordered tool sequences, and a quick-reference table give mostly executable guidance; minor gaps in exact parameter formats.

4 / 5

Workflow Clarity

Workflows are sequenced with prerequisites marked, but the destructive 'Delete a Post' workflow has no explicit validation/confirm checkpoint, which caps workflow clarity at 3.

3 / 5

Progressive Disclosure

No bundle files exist; the single SKILL.md is well-organized into clear sections, though the quick-reference table and consolidated pitfalls could optionally be split out.

4 / 5

Total

14

/

20

Passed

Description

70%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific and distinct, naming several concrete LinkedIn actions, but it lacks an explicit 'Use when...' trigger clause, which caps its completeness. Voice is appropriately third person.

Suggestions

Add an explicit 'Use when...' clause naming the user situations that should trigger this skill (e.g., posting, commenting, or managing a LinkedIn profile).

Mention 'delete posts' alongside the other actions for fuller capability coverage.

Consider adding a natural synonym such as 'LinkedIn content' or 'social posts' to broaden trigger-term coverage.

DimensionReasoningScore

Specificity

Lists several concrete actions ('create posts, manage profile, company info, comments, and image uploads'), with only minor coverage gaps such as delete not being named.

4 / 5

Completeness

The 'what' is clear, but there is no 'Use when...' trigger clause; the 'Always search tools first' line is procedural rather than a usage trigger, capping completeness at 3.

3 / 5

Trigger Term Quality

Includes natural terms users would say ('LinkedIn', 'posts', 'comments', 'image uploads'), though a few common variations or synonyms are missing.

4 / 5

Distinctiveness Conflict Risk

Scoped specifically to LinkedIn automation via Rube MCP, giving it a clear niche with minimal conflict risk against other skills.

5 / 5

Total

16

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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