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 komako-workshop/digital-oracle --skill digital-oraclegit clone --depth 1 https://github.com/komako-workshop/digital-oracleWrote 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/komako-workshop/digital-oracle/digital-oracle)<a href="https://agentmods.dev/skills/komako-workshop/digital-oracle/digital-oracle"><img src="https://agentmods.dev/badge/skills/komako-workshop/digital-oracle/digital-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/komako-workshop/digital-oracle/digital-oracle"><img src="https://agentmods.dev/badge/skills/komako-workshop/digital-oracle/digital-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 | $0.00146 | $0.05672 |
| Opus 5.5 | $0.00058 | $0.02269 |
| Sonnet 5.5 | $0.00029 | $0.01134 |
| Haiku 4.5 | $0.00015 | $0.00567 |
Grade A, and why
digital-oracle 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.
How it starts
The opening of the file, as written. The whole thing — 353 lines — stays where its author put it; the contents beside it link to each section on GitHub.
digital-oracle
Markets are efficient. Price contains all public information. Reading price = reading market consensus.
Methodology
Answer questions using only market trading data — no news, opinions, or statistical reports as causal evidence. If something is true, some market has already priced it in.
Five iron rules:
- Trading data only — prices, volume, open interest, spreads, premiums. Never cite analyst opinions.
- Explicit reasoning from price to judgment — explain clearly "why this price answers this question."
- Multi-signal cross-validation — never conclude from a single signal. At least 3 independent dimensions.
- Label the time horizon of each signal — options price 3 months, equipment orders price 3 years — don't mix them in the same vote.
- Structured output — the final report must follow the Step 5 template: layered signal tables → contradiction analysis → probability scenarios → signal consistency assessment. Do not substitute prose for structured reporting.
Workflow
Step 1: Understand the question
Decompose the user's question into:
- Core variable: What event or trend?
- Time window: Is the user asking about 3 months, 1 year, or 5 years?
- Priceability: Is there real money being traded on this outcome?
Step 2: Select signals
Based on question type, select from the signal menu below. Don't use just one category — cover at least 3.
Geopolitical conflict / War risk
- Polymarket: Search for related event contracts (ceasefire, invasion, regime change, declaration of war)
- Kalshi: Search for related binary contracts
- Safe-haven assets: Gold (GC=F), silver (SI=F), Swiss franc (USDCHF=X)
- Conflict proxies: Crude oil (CL=F), natural gas (NG=F), wheat (ZW=F), defense ETF (ITA), defense stocks
- Risk ratios: Copper/Gold ratio (risk-off indicator), Gold/Silver ratio
- CFTC COT: Institutional positioning changes in crude/gold/wheat (which direction is smart money betting)
- BIS: Central bank policy rate trends in relevant countries
- FearGreedProvider: CNN Fear & Greed Index (composite of 7 price signals)
- Web search: VIX, MOVE index, sovereign CDS, war risk premiums, BDI freight rates, high-yield OAS
- Currencies: Currency pairs of relevant countries (e.g. USDRUB=X, USDCNY=X)
- Country ETFs: Asset flows in relevant countries (e.g. FXI, EWY)
What ships with it
8 files 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.
- references/providers.md 18 KB
- references/symbols.md 5.7 KB
- scripts/demo_deribit.py 4.8 KB runs code
- scripts/demo_kalshi.py 2.7 KB runs code
- scripts/demo_polymarket.py 2.9 KB runs code
- scripts/demo_stooq.py 1.8 KB runs code
- scripts/demo_treasury.py 2.9 KB runs code
- scripts/regression_runner.py 15 KB runs code
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 · 353 lines · 146 tokens per session scan A 75ce71b29dc5
digital-oracle is a skill published in the GitHub repository komako-workshop/digital-oracle (903 stars, last pushed 3mo ago), licensed MIT. It adds 146 tokens to every session and 5,672 once invoked, about $0.0006 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.
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