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 madguyevans-creator/resale-agent-skill-hub --skill personal-brokergit clone --depth 1 https://github.com/madguyevans-creator/resale-agent-skill-hubWrote 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/madguyevans-creator/resale-agent-skill-hub/personal-broker)<a href="https://agentmods.dev/skills/madguyevans-creator/resale-agent-skill-hub/personal-broker"><img src="https://agentmods.dev/badge/skills/madguyevans-creator/resale-agent-skill-hub/personal-broker/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/madguyevans-creator/resale-agent-skill-hub/personal-broker"><img src="https://agentmods.dev/badge/skills/madguyevans-creator/resale-agent-skill-hub/personal-broker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00111 | $0.01058 |
| Opus 5 | $0.00056 | $0.00529 |
| Sonnet 5 | $0.00022 | $0.00212 |
| Haiku 4.5 | $0.00011 | $0.00106 |
Grade A, and why
personal-broker 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Smart Resale Agent — Hub
Orchestrates the complete C2C resale workflow: photo recognition → price research → platform auth → listing card & publish → schedule + fuse → auto-delist on sale.
Two Modes
Mode A: MCP Server (v2, recommended for non-Claude-Code clients)
Use broker_core/mcp_server.py — a standard MCP server exposing 7 tools. Any MCP-compatible client (Claude Desktop, Cursor, VS Code) can connect.
Mode B: Claude Code Skills (v1, still supported)
Use the 7 /broker-* slash commands within Claude Code CLI.
For MCP Mode
Load guardrails/Omni-Agent-Guardrails.yaml as the system prompt. This enforces:
- Tool Routing: Step 1→2→3→4→5 forced order
- Shield Protocol: blocked=true → all actions cancelled
- Transparency Schema: Every output carries
audit://reference
MCP tool mapping:
cognitive_intake → broker-recognize
generate_xai_pricing → broker-price
fuse_gatekeeper → broker-fuse (MANDATORY GATE)
execute_platform_action → broker-card + broker-delist
audit_trail_query → audit_logger
schedule_repricing → broker-schedule
platform_auth_trigger → broker-auth
Prerequisites
ANTHROPIC_API_KEY must be set. broker-recognize (Step 1) requires Claude Vision API to analyze product photos. Without this key, photo recognition will fail.
export ANTHROPIC_API_KEY="sk-ant-..."
7-Skill Pipeline
📷 broker-recognize → Photo → structured product info
🔐 broker-auth → Bind platform accounts (login once, session persisted)
🔍 broker-price → Authenticated price search across platforms
🛡️ broker-fuse → ⚠️ GLOBAL INTERCEPTOR — set fuse BEFORE publish/schedule
📋 broker-card → Listing card preview → user confirmation → auto-publish
⏰ broker-schedule → Set repricing interval → register cron/launchd
✅ broker-delist → Auto-detect sale → delist all platforms
broker-fuse is NOT step 6. It is a mandatory interceptor/gate. Before broker-card can publish and before broker-schedule can auto-reprice, broker-fuse MUST be called and set. Every publish and repricing action validates against the fuse.
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.
- 11d ago First seen · 82 lines · 111 tokens per session scan A 39aab219425e
personal-broker is a skill published in the GitHub repository madguyevans-creator/resale-agent-skill-hub (94 stars, last pushed 3mo ago), licensed MIT. It adds 111 tokens to every session and 1,058 once invoked, about $0.0006 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 2026-08-30.
Other skills, from other repositories
seller-research
Use when researching a merchant, storefront, marketplace seller, or merchant of record for a buying decision, especially when identity, refund terms, fulfillment, counterfeit risk, domain history, or independent buyer outcomes are uncertain.
Product Photoshoot Workflow
A workflow for turning one product photo into a set of four e-commerce images from different visual directions.
sfcc-performance
Performance optimization strategies for Salesforce B2C Commerce Cloud including caching, efficient data retrieval, index-friendly APIs, and job optimization. Use when asked about SFCC performance, caching strategies, or optimization.
sfcc-sfra-scss
Best practices for styling and theming SFRA storefronts using SCSS. Use when asked to create style overrides, theming, responsive layouts, or CSS customizations in SFCC.
sfcc-ocapi-hooks
Guide for implementing OCAPI hooks in Salesforce B2C Commerce. Use this when asked to create OCAPI hooks, extend API endpoints, validate API requests, or modify API responses.
sfcc-scapi-hooks
Guide for implementing SCAPI hooks in Salesforce B2C Commerce. Use this when asked to create SCAPI hooks, extend Shopper API endpoints, validate API requests, or modify API responses for headless commerce.