customer-review-aggregator SKILL.md skillA
customer-review-aggregator from onewave-ai/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add onewave-ai/claude-skills/customer-review-aggregator@git:20260608.d82d20fPins git:20260608.d82d20f in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- onewave-ai/claude-skills
- Path
customer-review-aggregator/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260608.d82d20f, committed Jun 8, 2026
- First version recorded
- Oct 22, 2025
- Size
- 1,972 bytes
- Repository stars
- 421
- License
- MIT
Aggregate and analyze customer reviews from G2, Capterra, Trustpilot, App Store, and other platforms. Performs sentiment analysis, identifies pain points, extracts feature feedback, generates marketing claims, and compares competitor reviews. Use when users need review analysis, competitive intelligence, or customer feedback insights.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Customer Review Aggregator & Analyzer Pull reviews from multiple platforms and extract actionable insights with sentiment analysis, pain-point detection, marketing-claim extraction, and competitor comparison. ## Contents - `references/sources.md` - supported platforms and sentiment dimensions - `references/intake-prompts.md` - scope and data-collection prompts, example use cases - `references/output-templates.md` - report templates for every analysis type ## Workflow 1. Define scope. Present the scope prompt from `references/intake-prompts.md` to capture product, platforms, competitors, analysis focus, and time period. 2. Gather review data. Offer the three data-collection methods (paste, CSV upload, URLs via WebFetch) from `references/intake-prompts.md` and collect the reviews. 3. Analyze sentiment. Score overall sentiment and feature-level sentiment using the dimensions in `references/sources.md`. 4. Identify pain points. Cluster negative feedback by theme, rank by frequency, and assign impact plus a recommendation. 5. Extract marketing claims. Derive evidence-backed claims from positive reviews, each with supporting quotes, a confidence level, and a use case. …
Read the whole file at its exact version.
How to install
mdr add onewave-ai/claude-skills/customer-review-aggregator@sha256:cec25f49f71252ecThe line at the top of this page pins the label git:20260608.d82d20f, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_uogjxqbhgdzbeq2z)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Oct 22, 2025 and Jun 8, 2026, about one every 228 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260608.d82d20f latest | 2026-06-08 | d82d20f | 1,972 B | A | view · diff |
| git:20251022.14b7f5b | 2025-10-22 | 14b7f5b | 8,071 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (1972 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
onewave-ai/claude-skills · 421 stars · license MIT · pushed 2026-10-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_uogjxqbhgdzbeq2z GET https://markdownregistry.com/api/v1/resolve?ref=onewave-ai/claude-skills/customer-review-aggregator GET https://markdownregistry.com/api/v1/blob/cec25f49f71252ec0da52dc1d6792b8407908c8c3c33947b870b2a1c82c1a2db
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.