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.
npx skills add OneWave-AI/claude-skills --skill customer-review-aggregatorgit clone --depth 1 https://github.com/OneWave-AI/claude-skillsWrote 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.
[](https://agentmods.dev/skills/onewave-ai/claude-skills/customer-review-aggregator)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/customer-review-aggregator"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/customer-review-aggregator/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.
<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/customer-review-aggregator"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/customer-review-aggregator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00065 | $0.00380 |
| Opus 5 | $0.00032 | $0.00190 |
| Sonnet 5 | $0.00013 | $0.00076 |
| Haiku 4.5 | $0.00006 | $0.00038 |
Grade A, and why
customer-review-aggregator scanned grade A with 0 findings 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 9d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually 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 dimensionsreferences/intake-prompts.md- scope and data-collection prompts, example use casesreferences/output-templates.md- report templates for every analysis type
Workflow
- Define scope. Present the scope prompt from
references/intake-prompts.mdto capture product, platforms, competitors, analysis focus, and time period. - Gather review data. Offer the three data-collection methods (paste, CSV upload, URLs via WebFetch) from
references/intake-prompts.mdand collect the reviews. - Analyze sentiment. Score overall sentiment and feature-level sentiment using the dimensions in
references/sources.md. - Identify pain points. Cluster negative feedback by theme, rank by frequency, and assign impact plus a recommendation.
- Extract marketing claims. Derive evidence-backed claims from positive reviews, each with supporting quotes, a confidence level, and a use case.
- Compare competitors. When competitors are provided, build the side-by-side comparison and surface weaknesses to exploit.
- Analyze feature requests. Rank requested features by mention count, urgency, and competitor coverage.
- Assemble the report. Populate the full analysis report and offer deliverable formats.
For all output formats and tables, see references/output-templates.md.
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.
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.
- 9d ago First seen · 28 lines · 65 tokens per session scan A cec25f49f712
customer-review-aggregator is a skill published in the GitHub repository OneWave-AI/claude-skills (291 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 380 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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