Real Skill packageSource verifiedClawHub registry

analyzing-competitor-twitter-profile-content

Extracts and analyzes tweet history from competitor or brand Twitter profiles using apidojo's Twitter Profile Scraper on Apify. Triggers when the user asks to: get all tweets from a competitor's Twitter account, analyze what a company posts on Twitter, audit a brand's tweet history, track what topics a competitor covers on X, compare Twitter content strategy between brands, extract posts from a company's Twitter timeline, or monitor a competitor's messaging and announcements on Twitter. Returns tweet text, engagem…

Identity and source

Publisher attributionAPI Dojoregistry owner unverified by skillvetai
Functional categoryMarketing, SEO & Salesautomatically inferred · 69% rule confidence
Package forminstruction bundle2 recorded files
Canonical sourceClawHub registryclawhub:apidojo-io:analyzing-competitor-twitter-profile-content
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 9/3/2026.claude/skills/analyzing-competitor-twitter-profile-content

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 9/3/2026.agents/skills/analyzing-competitor-twitter-profile-content

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 9/3/2026skills/analyzing-competitor-twitter-profile-content

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @apidojo-io/analyzing-competitor-twitter-profile-content
clawhub inspect @apidojo-io/analyzing-competitor-twitter-profile-content --version 0.1.0

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
1 / 1 inspected as text
Checked
9/3/2026, 4:23:02 AM
Scanner
0.1.3
Policy
1.0.3
2 inferred permission indicators
  • network access — automatically inferred
  • filesystem write — automatically inferred
1 dependency and API indicators
  • api: api.apify.com
External clawhub result: clean

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
9/3/2026, 6:34:46 AM
Release binding
Matches this record
  • vt: clean
  • skillspector: suspicious
  • llm: clean

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:5bfc0deeefb92966ad6acc7c201051d00c43e46ef84a91d6292f3f115e1e941a
Show up to 2 recorded paths
  • skill-card.md
  • SKILL.md

Source changelog

Initial release — extract and analyze tweet history from competitor or brand Twitter profiles for competitive intelligence. - Fetches tweets, engagement metrics, and author data from specified Twitter accounts using Apify's Twitter Profile Scraper. - Supports flexible input: Twitter URLs, handles, date ranges, filtering (retweets, images, replies), and custom mapping. - Automated scoring and ranking of tweets for competitive intelligence value. - Classifies tweets as HIGH IMPACT, NOTABLE, or LOW ENGAGEMENT based on engagement and media presence. - Provides edge case handling and clear usage instructions for different scenarios.