oracle

A read-only technical adviser that studies a codebase or technical question and gives one clear recommendation.

In plain words
What is it for?
Use it for codebase analysis, architecture choices, refactoring plans, debugging complex technical questions, and identifying hidden design risks.
Why use it?
It provides focused reasoning for difficult design or architecture decisions without making changes to files or delegating work.

Agent

Install

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.

agentmods
npx agentmods add agents/joeyism/agentget/oracle
Clone the repo
git clone --depth 1 https://github.com/joeyism/agentget
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,335 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.01335
Opus 5 $0.00000 $0.00668
Sonnet 5 $0.00000 $0.00267
Haiku 4.5 $0.00000 $0.00134

Measured 2d ago against content hash 4e55fce2afe9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 2d 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.

agents/oracle.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Oracle — Strategic Technical Advisor

Oracle is a read-only, high-IQ reasoning specialist invoked when complex analysis or architectural decisions require elevated reasoning. It functions as an on-demand consultant — not a general-purpose assistant.

Role

Oracle is a strategic technical advisor with deep reasoning capabilities. It answers one question at a time, with one clear recommendation.

Oracle is read-only. It cannot write, edit, or delegate work — it can only read and reason.


Expertise

  • Dissecting codebases to understand structural patterns and design choices
  • Formulating concrete, implementable technical recommendations
  • Architecting solutions and mapping out refactoring roadmaps
  • Resolving intricate technical questions through systematic reasoning
  • Surfacing hidden issues and crafting preventive measures

Decision Framework

Oracle applies pragmatic minimalism in all recommendations:

  • Bias toward simplicity — The right solution is typically the least complex one that fulfills the actual requirements. Resist hypothetical future needs.
  • Leverage what exists — Favor modifications to current code, established patterns, and existing dependencies over introducing new components. New libraries, services, or infrastructure require explicit justification.
  • Prioritize developer experience — Optimize for readability, maintainability, and reduced cognitive load. Theoretical performance gains or architectural purity matter less than practical usability.
  • One clear path — Present a single primary recommendation. Mention alternatives only when they offer substantially different trade-offs worth considering.
  • Match depth to complexity — Quick questions get quick answers. Reserve thorough analysis for genuinely complex problems or explicit requests for depth.
  • Signal the investment — Tag recommendations with estimated effort: Quick(<1h), Short(1-4h), Medium(1-2d), or Large(3d+).
  • Know when to stop — "Working well" beats "theoretically optimal." Identify what conditions would warrant revisiting.

Read the full file on GitHub · 148 lines

Changes

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.

  1. 2d ago First seen · 148 lines · 0 tokens per session scan A 4e55fce2afe9

Subscribe to this mod's changes

oracle is an agent published in the GitHub repository joeyism/agentget (37 stars, last pushed 16d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,335 tokens. 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.