← Customer Review AnalyzerCONTENT HISTORY

Update to Customer Review Analyzer

Snapshot Oct 9, 2026 · 00:12 UTC · version 0.1.0

WHAT CHANGED · RULE-BASED ANALYSIS

Package or technical metadata updated

Discoverability changed from “UNLISTED” to “LISTED”.

Observed in package metadata. These changes alone do not establish a new customer-facing feature.

Discoverability

Before

UNLISTED

After

LISTED

Share url

Before

Not present

After

https://chatgpt.com/plugins/plugins_6ab367037ec88191b265170d4ba2eb2e?open_in_app

Compare saved observations

Download comparison JSON
Full technical diff · 2 changed fields

changed /discoverability

BEFORE
"UNLISTED"
AFTER
"LISTED"

changed /share_url

BEFORE
null
AFTER
"https://chatgpt.com/plugins/plugins_6ab367037ec88191b265170d4ba2eb2e?open_in_app"
Full snapshot data
{
  "canonical_app_id": null,
  "connector_id": null,
  "created_at": "2026-09-23T05:52:15.844269Z",
  "discoverability": "LISTED",
  "id": "plugins_6ab367037ec88191b265170d4ba2eb2e",
  "is_template": false,
  "name": "customer-review-analyzer",
  "release": {
    "app_ids": [],
    "app_manifest": null,
    "app_templates": [],
    "description": "Analyze customer reviews with evidence-based sentiment, aspect themes, quality signals, trends, and practical response opportunities.",
    "display_name": "Customer Review Analyzer",
    "id": "pluginrel_bd7737bf6764819184da58fca5ba50b5",
    "interface": {
      "brand_color": null,
      "capabilities": [
        "Analyze",
        "Write"
      ],
      "category": "Productivity",
      "composer_icon_dark_url": null,
      "composer_icon_url": "https://files.openai.com/content?id=file_00000000098082109ed7ccb3f3fcfcf8",
      "default_prompt": "Analyze these reviews for recurring themes, topic-level sentiment, and evidence-backed actions.",
      "default_prompts": [
        "Analyze these reviews for recurring themes, topic-level sentiment, and evidence-backed actions.",
        "Summarize review trends by rating, product aspect, and time period.",
        "Audit this review dataset for quality limitations and cautious authenticity signals."
      ],
      "developer_name": "The Doers Firm",
      "logo_url": "https://files.openai.com/content?id=file_00000000c2688211af311328680c706a",
      "logo_url_dark": null,
      "long_description": "Analyze supplied customer reviews, app-store feedback, survey comments, and ratings. Identify sentiment by topic, recurring strengths and pain points, cautious authenticity signals, segment and time trends, representative quotations, and evidence-linked recommendations. Counts are explicit and data quality limits are disclosed. Customer support: https://thedoersfirm.com/support.",
      "plugin_category_id": "productivity",
      "privacy_policy_url": "https://thedoersfirm.com/privacy",
      "screenshot_urls": [],
      "short_description": "Analyze customer reviews",
      "terms_of_service_url": "https://thedoersfirm.com/terms",
      "website_url": "https://thedoersfirm.com/"
    },
    "keywords": [],
    "mcp_servers": [],
    "onboarding_skill_name": null,
    "requires_local_executor": false,
    "skills": [
      {
        "description": "Code reviews by product aspect and expressed sentiment while retaining ambiguity and evidence provenance.",
        "interface": {
          "brand_color": null,
          "default_prompt": null,
          "display_name": "aspect-sentiment-coding",
          "icon_large_url": null,
          "icon_small_url": null,
          "iconography": "chart",
          "short_description": "Code reviews by product aspect and expressed sentiment while retaining ambiguity and evidence provenance."
        },
        "name": "aspect-sentiment-coding",
        "plugin_release_skill_id": "pluginrsk_6ab367071654819197c009d658cc5893"
      },
      {
        "description": "Orchestrate evidence-led analysis of customer reviews, ratings, and public feedback supplied by the user.",
        "interface": {
          "brand_color": null,
          "default_prompt": null,
          "display_name": "customer-review-analyzer",
          "icon_large_url": null,
          "icon_small_url": null,
          "iconography": "chart",
          "short_description": "Orchestrate evidence-led analysis of customer reviews, ratings, and public feedback supplied by the user."
        },
        "name": "customer-review-analyzer",
        "plugin_release_skill_id": "pluginrsk_6ab36707545c8191b5c83570fa292e3c"
      },
      {
        "description": "Assess review dataset quality and describe potential manipulation indicators without asserting individual reviews are fraudulent.",
        "interface": {
          "brand_color": null,
          "default_prompt": null,
          "display_name": "review-quality-and-authenticity-signals",
          "icon_large_url": null,
          "icon_small_url": null,
          "iconography": "chart",
          "short_description": "Assess review dataset quality and describe potential manipulation indicators without asserting individual reviews are fraudulent."
        },
        "name": "review-quality-and-authenticity-signals",
        "plugin_release_skill_id": "pluginrsk_6ab3670717308191bd6b20dd3d48f5a1"
      },
      {
        "description": "Turn review patterns into cautious trend comparisons, response themes, and measurable improvement hypotheses.",
        "interface": {
          "brand_color": null,
          "default_prompt": null,
          "display_name": "review-trends-and-action-planning",
          "icon_large_url": null,
          "icon_small_url": null,
          "iconography": "chart",
          "short_description": "Turn review patterns into cautious trend comparisons, response themes, and measurable improvement hypotheses."
        },
        "name": "review-trends-and-action-planning",
        "plugin_release_skill_id": "pluginrsk_6ab367073b4881919cd69d33099aea7c"
      }
    ],
    "version": "0.1.0"
  },
  "scope": "GLOBAL",
  "share_url": "https://chatgpt.com/plugins/plugins_6ab367037ec88191b265170d4ba2eb2e?open_in_app",
  "status": "ENABLED"
}

SHA-256 of public snapshot: 83f42c12ca5518d7d8d53c3470e8086897a1aba753ba2268e66ed0dac79bf2ce