review-analysis

review-analysis is a skill for Claude Code, Codex from liangdabiao/amazon-sorftime-research-MCP-skill. It costs 49 tokens per session (4,938 once invoked), scanned A, original, no licence file.

An Amazon product-review analysis tool used with a product ASIN, Amazon's product identifier. It examines customer reviews to find product problems and reasons for returns.

In plain words
What is it for?
Use it to identify product pain points, analyse return reasons, suggest improvements and create customer-service reply templates.
Why use it?
It helps sellers spot recurring complaints and respond to customers without reading every review manually.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to identify product pain points, analyse return reasons, suggest improvements and create customer-service reply templates.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/liangdabiao/amazon-sorftime-research-mcp-skill/review-analysis
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add liangdabiao/amazon-sorftime-research-MCP-skill --skill review-analysis
Clone the repo
git clone --depth 1 https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for review-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/liangdabiao/amazon-sorftime-research-mcp-skill/review-analysis/github.svg)](https://agentmods.dev/skills/liangdabiao/amazon-sorftime-research-mcp-skill/review-analysis)
Your own site
<a href="https://agentmods.dev/skills/liangdabiao/amazon-sorftime-research-mcp-skill/review-analysis"><img src="https://agentmods.dev/badge/skills/liangdabiao/amazon-sorftime-research-mcp-skill/review-analysis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for review-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/liangdabiao/amazon-sorftime-research-mcp-skill/review-analysis"><img src="https://agentmods.dev/badge/skills/liangdabiao/amazon-sorftime-research-mcp-skill/review-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,938 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.04938
Opus 5 $0.00024 $0.02469
Sonnet 5 $0.00010 $0.00988
Haiku 4.5 $0.00005 $0.00494

Measured 11d ago against content hash 09cbe5452750, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

review-analysis scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s -X POST "https://mcp.sorftime.com?key=${API_KEY}" \
SKILLS/skills/review-analysis/SKILL.md · 512 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 512 lines · 49 tokens per session scan A 09cbe5452750

Subscribe to this mod's changes

review-analysis is a skill published in the GitHub repository liangdabiao/amazon-sorftime-research-MCP-skill (842 stars, last pushed 2mo ago), with no licence file. It adds 49 tokens to every session and 4,938 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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