Real Skill packageSource verifiedClawHub registry

analyzing-twitter-sentiment-for-topic

Analyzes public sentiment on Twitter/X for any topic, brand, or event using apidojo's Tweet scrapers on Apify. Triggers when the user asks to: analyze Twitter sentiment about a topic, measure public opinion on Twitter, see if sentiment is positive or negative about a brand or issue on X, analyze the emotional tone of tweets about an event, research how Twitter reacts to a news story, measure brand or product sentiment from tweets, or compare sentiment between two competing topics or brands on Twitter. Returns sent…

Identity and source

Publisher attributionAPI Dojoregistry owner unverified by skillvetai
Functional categorySearch, Research & Knowledgeautomatically inferred · 68% rule confidence
Package forminstruction bundle2 recorded files
Canonical sourceClawHub registryclawhub:apidojo-io:analyzing-twitter-sentiment-for-topic
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-twitter-sentiment-for-topic

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-twitter-sentiment-for-topic

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-twitter-sentiment-for-topic

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-twitter-sentiment-for-topic
clawhub inspect @apidojo-io/analyzing-twitter-sentiment-for-topic --version 1.0.0

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, 6:35:09 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 hashsha256:3cb43c598b5387729d15d3507372f5d4541ea4600e905266951b6ec791545c69
Show up to 2 recorded paths
  • skill-card.md
  • SKILL.md

Source changelog

- Initial release of the "analyzing-twitter-sentiment-for-topic" skill. - Collects and analyzes sentiment of tweets about any topic, brand, or event using apidojo’s Tweet Scraper on Apify. - Supports advanced Twitter search parameters, filtering, and language selection. - Outputs sentiment percentages, top positive/negative tweets, key themes, engagement-weighted stats, and volume trends. - Ideal for PR, market research, political analysis, and social listening use cases.