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 nohosa001-pixel/minerals-oracle-x402 --skill minerals-oraclegit clone --depth 1 https://github.com/nohosa001-pixel/minerals-oracle-x402Wrote 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/nohosa001-pixel/minerals-oracle-x402/minerals-oracle)<a href="https://agentmods.dev/skills/nohosa001-pixel/minerals-oracle-x402/minerals-oracle"><img src="https://agentmods.dev/badge/skills/nohosa001-pixel/minerals-oracle-x402/minerals-oracle/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/nohosa001-pixel/minerals-oracle-x402/minerals-oracle"><img src="https://agentmods.dev/badge/skills/nohosa001-pixel/minerals-oracle-x402/minerals-oracle.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 | $0.00067 | $0.01201 |
| Opus 5 | $0.00034 | $0.00600 |
| Sonnet 5 | $0.00013 | $0.00240 |
| Haiku 4.5 | $0.00007 | $0.00120 |
Grade A, and why
minerals-oracle scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -H "X-Agent-Vault-Key: agent_session_..." "http://127.0.0.1:8000/api/v1/oracle/prices?format=compact" How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Minerals Oracle x402 - Agent Skill Guide
This skill equips autonomous AI agents (Claude Desktop, Cursor, CrewAI, AutoGPT, Antigravity) with tools and protocols to consume, query, and pay for physical commodities benchmarks and locational arbitrage spreads.
Quick Reference & Capabilities
| Capability | Endpoint / MCP Tool | Pricing Tier | Tokens Saved |
|---|---|---|---|
| All Spot Quotes | GET /api/v1/oracle/prices |
Standard ($0.005 USDC) | Use ?format=compact (90% reduction) |
| Single Mineral | GET /api/v1/oracle/prices/{symbol} |
Light ($0.001 USDC) | Use ?format=compact (85% reduction) |
| Arbitrage Spreads | GET /api/v1/oracle/spreads |
Standard ($0.005 USDC) | Use ?format=compact (88% reduction) |
| Scrap Yields | POST /api/v1/oracle/urban-mining/calculate |
Heavy ($0.010 USDC) | Rich JSON Breakdown |
| Real-Time Stream | GET /api/v1/oracle/stream |
Free Event-Stream | Zero-Polling Push |
| Instant Onboarding | POST /api/v1/agent/onboard |
Free (10 Free Queries) | 1-Click Provisioning |
1. Autonomous Self-Serve Onboarding
Before querying protected endpoints, any agent can self-register without human intervention:
POST /api/v1/agent/onboard
Content-Type: application/json
{
"agent_name": "AutonomousQuant-01",
"requested_network": "polygon"
}
Response:
{
"status": "success",
"session_key": "agent_session_a1b2c3d4...",
"trial_balance_usdc": 0.05,
"free_queries_remaining": 10,
"auth_header": {
"header_name": "X-Agent-Vault-Key",
"header_value": "agent_session_a1b2c3d4..."
}
}
2. Token-Saving Compact Format (Crucial for LLMs)
To prevent wasting context window tokens, always append ?format=compact or send Accept: text/plain:
A. All Spot Quotes
curl -H "X-Agent-Vault-Key: agent_session_..." "http://127.0.0.1:8000/api/v1/oracle/prices?format=compact"
Output (~25 tokens vs 350 tokens):
[CRM-QUOTE] Ag:65.9|Pt:1767.4|Cu:14559.3|Li:12850.0|NdDy:85.5
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 · 127 lines · 67 tokens per session scan A 0d4926224de6
minerals-oracle is a skill published in the GitHub repository nohosa001-pixel/minerals-oracle-x402 (0 stars, last pushed 2d ago), licensed MIT. It adds 67 tokens to every session and 1,201 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.
reading-receipt
An image-reading workflow for extracting structured information from receipts, invoices, and hometown-tax donation certificates. It can first extract text from PDFs and otherwise read their images.