vibe-testing
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Run this in your terminal
terminal$
What we know about this skill
Publisher
knot0-com
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned knot0-com/vibe-testing at f9a0af5da7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- f9a0af5da7
- Manifest
- SKILL.md
- Scanned
- 6 files, 601 lines
About this skill
What it does
The vibe-testing skill assesses the emotional tone and sentiment expressed in text. It can identify whether a piece of writing conveys positivity, negativity, or neutrality, and provide a confidence score for each assessment. This allows users to quickly gauge the overall feeling conveyed by content without manual analysis.
When to use it
- Social Media Monitoring: Quickly determine if customer feedback on social media is generally positive or negative.
- Content Creation Review: Evaluate the emotional impact of marketing copy before publication.
- User Feedback Analysis: Understand the sentiment expressed in user reviews and surveys.
- Chatbot Response Evaluation: Assess whether a chatbot's responses are appropriately empathetic or neutral, depending on the context.
Key capabilities
- Sentiment analysis (positive, negative, neutral)
- Confidence scoring for each sentiment category
- Text input via prompt
- Output of sentiment and confidence score
Example prompts
- "Analyze the vibe of this customer review: 'The product arrived broken and support was unhelpful.'"
- "What's the overall feeling in this email? [paste email content]"
- "Assess the sentiment of this tweet: 'Just had an amazing day at the beach! ☀️'"
Tips & gotchas
- The accuracy of vibe testing depends on the clarity and context of the input text. Ambiguous or sarcastic language may lead to inaccurate results.