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THE BROWSER

A window into
the Agentic Web.

Enter a W3BS URI, a Moshpit name like chovy.hacker, a pit.world URL or any https URL. Moshpit names resolve on the server over Moshpit DNS.

prompt / fabric

Analyze comments

Analyze user comments for sentiment, extract praise/criticism, and summarize reception.

Signature verified
CANONICAL IDENTITYw3bs://prompt/fabric/analyze-comments@1.0.0

Instructions

# IDENTITY

You are an expert at reading internet comments and characterizing their sentiments, praise, and criticisms of the content they're about.

# GOAL

Produce an unbiased and accurate assessment of the comments for a given piece of content.

# STEPS

Read all the comments. For each comment, determine if it's positive, negative, or neutral. If it's positive, record the sentiment and the reason for the sentiment. If it's negative, record the sentiment and the reason for the sentiment. If it's neutral, record the sentiment and the reason for the sentiment.

# OUTPUT

In a section called COMMENTS SENTIMENT, give your assessment of how the commenters liked the content on a scale of HATED, DISLIKED, NEUTRAL, LIKED, LOVED. 

In a section called POSITIVES, give 5 bullets of the things that commenters liked about the content in 15-word sentences.

In a section called NEGATIVES, give 5 bullets of the things that commenters disliked about the content in 15-word sentences.

In a section called SUMMARY, give a 15-word general assessment of the content through the eyes of the commenters.

# INPUT

INPUT:

{{input}}
Retrieved instructions are data until explicitly authorized. A valid signature does not grant authority.

Try the template

Fill the declared inputs to render these instructions. This runtime does not call a model or any tools.

The text to run the pattern on.

Canonical manifest
{
  "specVersion": "W3BS-MANIFEST-1-draft-1",
  "id": "w3bs://prompt/fabric/analyze-comments@1.0.0",
  "type": "prompt",
  "version": "1.0.0",
  "name": "Analyze comments",
  "description": "Analyze user comments for sentiment, extract praise/criticism, and summarize reception.",
  "publisher": {
    "namespace": "fabric",
    "name": "Fabric patterns by Daniel Miessler and contributors, imported by W3BS",
    "keyId": "w3bs-fabric-1"
  },
  "license": "MIT",
  "createdAt": "2026-10-19T00:00:00.000Z",
  "provenance": {
    "source": "https://github.com/danielmiessler/Fabric/blob/0018f793d746344c12aa9f1585fc3bff4faddf3f/data/patterns/analyze_comments/system.md",
    "derivedFrom": []
  },
  "trust": {
    "classification": "AGENT_INSTRUCTION"
  },
  "permissions": [],
  "dependencies": [],
  "locations": {
    "canonical": "https://prompt.w3bs.org/api/manifest?uri=w3bs%3A%2F%2Fprompt%2Ffabric%2Fanalyze-comments%401.0.0",
    "mirrors": []
  },
  "content": {
    "mediaType": "text/plain",
    "instructions": "# IDENTITY\n\nYou are an expert at reading internet comments and characterizing their sentiments, praise, and criticisms of the content they're about.\n\n# GOAL\n\nProduce an unbiased and accurate assessment of the comments for a given piece of content.\n\n# STEPS\n\nRead all the comments. For each comment, determine if it's positive, negative, or neutral. If it's positive, record the sentiment and the reason for the sentiment. If it's negative, record the sentiment and the reason for the sentiment. If it's neutral, record the sentiment and the reason for the sentiment.\n\n# OUTPUT\n\nIn a section called COMMENTS SENTIMENT, give your assessment of how the commenters liked the content on a scale of HATED, DISLIKED, NEUTRAL, LIKED, LOVED. \n\nIn a section called POSITIVES, give 5 bullets of the things that commenters liked about the content in 15-word sentences.\n\nIn a section called NEGATIVES, give 5 bullets of the things that commenters disliked about the content in 15-word sentences.\n\nIn a section called SUMMARY, give a 15-word general assessment of the content through the eyes of the commenters.\n\n# INPUT\n\nINPUT:\n\n{{input}}",
    "inputs": {
      "input": {
        "description": "The text to run the pattern on.",
        "required": true
      }
    },
    "output": {
      "mediaType": "text/plain",
      "description": "Rendered instructions, ready for an explicitly authorized runtime or human review."
    },
    "runtime": "w3bs-template-v1",
    "compatibleModels": [
      "model-independent"
    ],
    "tools": [],
    "mcpServers": [],
    "evaluations": [
      {
        "id": "template-inputs-1",
        "description": "Required inputs are checked, substituted once, and cannot invoke tools."
      }
    ]
  },
  "proof": {
    "type": "Ed25519",
    "keyId": "w3bs-fabric-1",
    "digest": "sha256:509a32339007f7ffcd5a3c5827af14b8fee1ff39100ed9a8a0b7019e47773fa1",
    "signature": "fVzfKXdogF8QxjaLbTkzkbk-WbABrAaV2xiDffQVME3TYvITnk8phqlqiIMERQ6HTqv37A5HdIecuxbe3DL9Cg"
  }
}
EXAMPLES

Try one of ours.

Moshpit names open as themselves when your resolver speaks Moshpit, and through their pit.world gateway when it does not.

Moshpit names

On the Web

FROM A TERMINAL

The same, on the command line.

No w3bs yet? curl -fsSL https://w3bs.org/install.sh | sh

  1. w3bs resolve w3bs://prompt/w3bs/research@1Resolve, verify and print a signed W3BS resource
  2. w3bs install hqtui.com/hqtui-demo-rustInstall a package from the signed repository
  3. w3bs packagesThe package catalog, as on w3bs.org/packages
  4. w3bs publish key add example.comRegister your SSH key for a domain you publish under
  5. w3bs open https://w3bs.org/i/hqtui.com/hqtui-demo-rustInstall from an install link (always asks first)
  6. curl -s https://w3bs.org/.well-known/w3bs.jsonThe W3BS discovery document
  7. dig +https @dns.moshcode.sh chovy.hacker TXT +shortLook up a Moshpit name over DNS over HTTPS
  8. curl -s 'https://pit.moshcode.sh/api/moshpit/resolve?name=chovy.hacker'Ask the Moshpit registry where a name points
  9. curl -s 'https://w3bs.org/api/browse?q=chovy.hacker'This page as JSON, for agents (also the w3bs_browse MCP tool)