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Oracle

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oracle

Best practices for using the oracle CLI (prompt + file bundling, engines, sessions, and file attachment patterns).

Overview

Publisherspinabot
Repositorybrigade
Skill nameoracle
Stars
4.4K
Forks
50
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by spinabot on GitHub. Read the source before you install it.

Installation

Install the Oracle AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/spinabot/brigade.git /tmp/brigade
mkdir -p .claude/skills
cp -r /tmp/brigade/skills/oracle .claude/skills/oracle
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Oracle in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Oracle on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Oracle is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

oracle — best use

Oracle bundles your prompt + selected files into one “one-shot” request so another model can answer with real repo context (API or browser automation). Treat output as advisory: verify against code + tests.

Main use case (browser, GPT‑5.2 Pro)

Default workflow here: --engine browser with GPT‑5.2 Pro in ChatGPT. This is the common “long think” path: ~10 minutes to ~1 hour is normal; expect a stored session you can reattach to.

Recommended defaults:

  • Engine: browser (--engine browser)
  • Model: GPT‑5.2 Pro (--model gpt-5.2-pro or --model "5.2 Pro")

Golden path

  1. Pick a tight file set (fewest files that still contain the truth).
  2. Preview payload + token spend (--dry-run + --files-report).
  3. Use browser mode for the usual GPT‑5.2 Pro workflow; use API only when you explicitly want it.
  4. If the run detaches/timeouts: reattach to the stored session (don’t re-run).

Commands (preferred)

  • Help:

    • oracle --help
    • If the binary isn’t installed: npx -y @steipete/oracle --help (avoid pnpx here; sqlite bindings).
  • Preview (no tokens):

    • oracle --dry-run summary -p "<task>" --file "src/**" --file "!**/*.test.*"
    • oracle --dry-run full -p "<task>" --file "src/**"
  • Token sanity:

    • oracle --dry-run summary --files-report -p "<task>" --file "src/**"
  • Browser run (main path; long-running is normal):

    • oracle --engine browser --model gpt-5.2-pro -p "<task>" --file "src/**"
  • Manual paste fallback:

    • oracle --render --copy -p "<task>" --file "src/**"
    • Note: --copy is a hidden alias for --copy-markdown.

Attaching files (--file)

--file accepts files, directories, and globs. You can pass it multiple times; entries can be comma-separated.

  • Include:

    • --file "src/**"
    • --file src/index.ts
    • --file docs --file README.md
  • Exclude:

    • --file "src/**" --file "!src/**/*.test.ts" --file "!**/*.snap"
  • Defaults (implementation behavior):

    • Default-ignored dirs: node_modules, dist, coverage, .git, .turbo, .next, build, tmp (skipped unless explicitly passed as literal dirs/files).
    • Honors .gitignore when expanding globs.
    • Does not follow symlinks.
    • Dotfiles filtered unless opted in via pattern (e.g. --file ".github/**").
    • Files > 1 MB rejected.

Engines (API vs browser)

  • Auto-pick: api when OPENAI_API_KEY is set; otherwise browser.
  • Browser supports GPT + Gemini only; use --engine api for Claude/Grok/the agent or multi-model runs.
  • Browser attachments:
    • --browser-attachments auto|never|always (auto pastes inline up to ~60k chars then uploads).
  • Remote browser host:
    • Host: oracle serve --host 0.0.0.0 --port 9473 --token <secret>
    • Client: oracle --engine browser --remote-host <host:port> --remote-token <secret> -p "<task>" --file "src/**"

Sessions + slugs

  • Stored under ~/.oracle/sessions (override with ORACLE_HOME_DIR).
  • Runs may detach or take a long time (browser + GPT‑5.2 Pro often does). If the CLI times out: don’t re-run; reattach.
    • List: oracle status --hours 72
    • Attach: oracle session <id> --render
  • Use --slug "<3-5 words>" to keep session IDs readable.
  • Duplicate prompt guard exists; use --force only when you truly want a fresh run.

Prompt template (high signal)

Oracle starts with zero project knowledge. Assume the model cannot infer your stack, build tooling, conventions, or “obvious” paths. Include:

  • Project briefing (stack + build/test commands + platform constraints).
  • “Where things live” (key directories, entrypoints, config files, boundaries).
  • Exact question + what you tried + the error text (verbatim).
  • Constraints (“don’t change X”, “must keep public API”, etc).
  • Desired output (“return patch plan + tests”, “give 3 options with tradeoffs”).

Safety

  • Don’t attach secrets by default (.env, key files, auth tokens). Redact aggressively; share only what’s required.

“Exhaustive prompt” restoration pattern

For long investigations, write a standalone prompt + file set so you can rerun days later:

  • 6–30 sentence project briefing + the goal.
  • Repro steps + exact errors + what you tried.
  • Attach all context files needed (entrypoints, configs, key modules, docs).

Oracle runs are one-shot; the model doesn’t remember prior runs. “Restoring context” means re-running with the same prompt + --file … set (or reattaching a still-running stored session).

Frequently asked questions

What does the Oracle AI skill do?

Best practices for using the oracle CLI (prompt + file bundling, engines, sessions, and file attachment patterns).

Why use Oracle on TypingMind?

Because you install it once and use it with any model. Oracle is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Oracle in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/spinabot/brigade/tree/main/skills/oracle. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Oracle?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Oracle?

As many as you like. As long as a model supports skills, you can use Oracle with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Oracle AI skill free?

Yes. It is published on GitHub by spinabot under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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