← Customer Review AnalyzerCONTENT HISTORYWHAT CHANGED · RULE-BASED ANALYSIS
changed
changed
Update to Customer Review Analyzer
Snapshot Oct 9, 2026 · 00:12 UTC · version 0.1.0
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 JSONFull 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