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 sandbaseai/sandbase-skills --skill product-review-extractorgit clone --depth 1 https://github.com/sandbaseai/sandbase-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/sandbaseai/sandbase-skills/product-review-extractor)<a href="https://agentmods.dev/skills/sandbaseai/sandbase-skills/product-review-extractor"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/product-review-extractor/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/sandbaseai/sandbase-skills/product-review-extractor"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/product-review-extractor.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 | $0.00041 | $0.00339 |
| Opus 5.5 | $0.00016 | $0.00136 |
| Sonnet 5.5 | $0.00008 | $0.00068 |
| Haiku 4.5 | $0.00004 | $0.00034 |
Grade A, and why
product-review-extractor 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 1mo 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
Product Review Extractor
Extract and analyze product reviews from e-commerce and review sites. Aggregates ratings, identifies common themes in positive and negative feedback, and surfaces actionable product insights from customer voices across platforms. Read the API map before selecting a capability.
Call SandBase capabilities
For every selected tool, call sandbase_describe_tool first and use only arguments in its current input schema. Then call sandbase_call_tool with the exact tool_name.
Available Tools
strale_product_reviews_extractamazon_bulk_reviews_multi_regiongoogle_maps_bulk_reviewsakta_company_product_reviews
Workflow
- Understand the user's research question, target, and context.
- Call
sandbase_describe_toolfor each selected tool to confirm parameter schema. - Call
sandbase_call_toolwith the exact tool_name and schema-defined arguments. - Synthesize findings into a clear, evidence-backed answer.
- Cite sources, note evidence gaps, and separate observations from interpretations.
Guidelines
- Always call
sandbase_describe_toolbefore using any capability. - Cite sources and preserve attribution (URLs, usernames, dates, metrics).
- Separate factual observations from analysis and recommendations.
- If data is unavailable, note the gap and continue with available evidence.
- Read-only research only. Never take actions on platforms.
What ships with it
1 file 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.
- 1mo ago First seen · 36 lines · 41 tokens per session scan A 87372f09ef16
product-review-extractor is a skill published in the GitHub repository sandbaseai/sandbase-skills (203 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 41 tokens to every session and 339 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
quantum-amplitude-amplification
A local Qiskit workflow for amplitude amplification, a quantum method that increases the chance of measuring selected answers. It can explain the method, build a circuit, or run calculations on a simulator.
quantum-heat-1d
A runnable open-source implementation of the one-dimensional heat equation, which describes how temperature spreads along a line over time. It uses a quantum-circuit method that rewrites the heat problem into a form suitable for simulation.
quantum-aqc
An adiabatic quantum method for solving a positive-definite Hermitian system of linear equations. It gradually changes one system into another and approximates the solution through segmented quantum evolution.
quantum-hamiltonian-qsp
A runnable implementation of quantum signal processing for simulating a Hamiltonian, where a Hamiltonian is a mathematical description of a physical system's energy or evolution. It uses polynomial transformations and controlled combinations of operations to approximate time evolution.
pasqal-experiments
A workflow for turning neutral-atom research questions into Pulser experiment specifications and sequences, then running simulations or submitting batches through Pasqal Cloud. Pulser is a Python toolkit for describing and simulating neutral-atom quantum experiments.
clifft-sampling
A local sampler for Clifford+T quantum circuits with a specified single-qubit depolarizing error after each gate. It returns final computational-basis samples and can compare them with an independent density-matrix calculation.