Broker Price
Multi-platform price research for C2C resale. Search prices across bound platforms using the user's authorized session. Use when user wants to know "what is this worth", "price this", "market price", "询价", or needs a transparency pricing report before listing. Also usable standalone via /broker-price with a product description.
Install
$ agentstack add skill-madguyevans-creator-resale-agent-skill-hub-broker-price ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-madguyevans-creator-resale-agent-skill-hub-broker-price) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
broker-price: Authenticated Price Research
Searches prices across all bound platforms using the user's own account session — the same search they'd do manually in each app. No web scraping, no anti-bot issues.
Workflow
- Receive product info (from broker-recognize or user description)
- Build platform-specific search queries
- For each bound platform with valid session:
- Search active listings → extract prices, conditions
- Search sold listings → extract actual transaction prices
- Calculate:
- Price range (min → max)
- Median active listing price
- Median sold price (preferred metric)
- Market sentiment (seller-favorable / balanced / buyer-favorable)
- Recommend price: median of sold comparables (when available), or 5% below active median (when no sold data)
- Present transparency report with data sources
Script
python3 scripts/research.py --product product.json
# Searches all bound platforms, outputs transparency reportFallback
If session-based search fails (expired session, platform API change), fall back to Claude Code's WebSearch for comparable listings. Results from fallback are clearly labeled as lower-confidence estimates.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: madguyevans-creator
- Source: madguyevans-creator/resale-agent-skill-hub
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.