An Openclaw Skills assistant that decodes Dianping ratings, flags suspicious review patterns, and recommends safer local-life merchant choices.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dazhong
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install dazhong using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This Openclaw Skills module turns Dianping ratings, list signals, and review content into a practical local-life decision workflow.
It teaches an agent to distinguish real consumer signal from score inflation, sponsored-review patterns, and promotional store copy, then return a ranked shortlist with risk notes, rationale, and backups.
This skill is content-driven and has no package dependencies. Add it to your Openclaw Skills workspace, then pass the agent merchant pages, review snippets, screenshots, or copied text for analysis.
mkdir -p <SKILL_DIR>
cp SKILL.md <SKILL_DIR>/dianping-local-life-decision-guide.md
# Restart or reload your Openclaw Skills runtime
For best results, include the scene, budget, location, and any recent review excerpts when invoking the skill.
This skill is reasoning-first and does not generate persistent files by default. If you persist output, store it as Markdown or JSON reports using the following taxonomy.
| Field | Purpose | Notes |
|---|---|---|
| scene | Decision context | meetup, banquet, quick meal, family dinner |
| budget | Spending constraint | per-person or total budget |
| location | Geographic filter | district, distance, accessibility |
| ranking_lens | List type being interpreted | Must-Eat, Black Pearl, star rating |
| review_freshness | Recency weighting | latest 30 days preferred |
| authenticity_flags | Suspicion indicators | review spikes, template language, photo mismatch |
| merchant_fit | Product-market fit | signature dishes, average spend, queue pressure |
| merchant_response | Service behavior signal | response quality to negative reviews |
| risk_level | Overall confidence | low, medium, high |
| recommendation | Final output | top 3 options plus fallback |
Metadata tags used by the skill:
dianpinglocal-liferestaurantreviewratingLoading
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