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Agent skill

Oracle

by majiayu000 in majiayu000/claude-skill-registry

Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.

MITAuto-check: notesDevelopment

Install Oracle

skills CLI
$ npx skills add majiayu000/claude-skill-registry --skill oracle -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install majiayu000/claude-skill-registry oracle --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-llm/oracle-nickromney-n-dotfiles-2 .claude/skills/oracle && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
oracle
GitHub stars
666
Used in
3 other repos
Token cost
~1.4k tokens
SKILL.md length
727 words
Files
2
Skills in repo
1,273
Repo updated
First seen
Licence
MIT

At a glance

Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.

  • Works in 4 steps: Pick a tight file set (fewest files that… → Preview what you’re about to send… → Run in browser mode for the usual… → …
  • Tasks that involve Refactoring
  • SKILL.md covers Main use case (browser,…, Golden path (fast + reliable), Commands (preferred) and Attaching files (--file), plus 5 more sections
  • Calls npx; needs OPENAI_API_KEY

What it does

Oracle is an agent skill from majiayu000/claude-skill-registry. Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).

It sits in Development, covering Refactoring, Machine learning and Prompt engineering. It works with OpenAI. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.

When your agent uses it

  • Tasks that involve Refactoring
  • Tasks that involve Machine learning
  • Tasks that involve Prompt engineering

Example prompts

  • “/oracle”

Requirements

  • Node.js
  • A credential in OPENAI_API_KEY

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

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

What it can do on your machine

Read from SKILL.md and the folder at commit 2d14a69. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • OPENAI_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Oracle loads about 1.4k tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 727 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:110
    - Don’t attach secrets by default (`.env`, key files, auth tokens). Redact aggressively; share only what’s required.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from majiayu000/claude-skill-registry at commit 2d14a69, republished under its MIT licence (© majiayu000). 727 words, ~1,432 tokens.

Download SKILL.mdSave it as .claude/skills/oracle/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
oracle
description
Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.

Oracle (CLI) — 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 outputs as advisory: verify against the codebase + tests.

Main use case (browser, GPT‑5.2 Pro)

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

Recommended defaults:

  • Engine: browser (--engine browser)
  • Model: GPT‑5.2 Pro (either --model gpt-5.2-pro or a ChatGPT picker label like --model "5.2 Pro")
  • Attachments: directories/globs + excludes; avoid secrets.

Golden path (fast + reliable)

  1. Pick a tight file set (fewest files that still contain the truth).
  2. Preview what you’re about to send (--dry-run + --files-report when needed).
  3. Run in browser mode for the usual GPT‑5.2 Pro ChatGPT 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)

  • Show help (once/session):

    • npx -y @steipete/oracle --help

  • Preview (no tokens):

    • npx -y @steipete/oracle --dry-run summary -p "<task>" --file "src/**" --file "!**/*.test.*"
    • npx -y @steipete/oracle --dry-run full -p "<task>" --file "src/**"

  • Token/cost sanity:

    • npx -y @steipete/oracle --dry-run summary --files-report -p "<task>" --file "src/**"

  • Browser run (main path; long-running is normal):

    • npx -y @steipete/oracle --engine browser --model gpt-5.2-pro -p "<task>" --file "src/**"

  • Manual paste fallback (assemble bundle, copy to clipboard):

    • npx -y @steipete/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/**" (directory glob)
    • --file src/index.ts (literal file)
    • --file docs --file README.md (literal directory + file)

  • Exclude (prefix with !):

    • --file "src/**" --file "!src/**/*.test.ts" --file "!**/*.snap"

  • Defaults (important behavior from the implementation):

    • Default-ignored dirs: node_modules, dist, coverage, .git, .turbo, .next, build, tmp (skipped unless you explicitly pass them as literal dirs/files).
    • Honors .gitignore when expanding globs.
    • Does not follow symlinks (glob expansion uses followSymbolicLinks: false).
    • Dotfiles are filtered unless you explicitly opt in with a pattern that includes a dot-segment (e.g. --file ".github/**").
    • Hard cap: files > 1 MB are rejected (split files or narrow the match).

Budget + observability

  • Target: keep total input under ~196k tokens.
  • Use --files-report (and/or --dry-run json) to spot the token hogs before spending.
  • If you need hidden/advanced knobs: npx -y @steipete/oracle --help --verbose.

Engines (API vs browser)

  • Auto-pick: uses api when OPENAI_API_KEY is set, otherwise browser.
  • Browser engine supports GPT + Gemini only; use --engine api for Claude/Grok/Codex or multi-model runs.
  • API runs require explicit user consent before starting because they incur usage costs.
  • Browser attachments:
    • --browser-attachments auto|never|always (auto pastes inline up to ~60k chars then uploads).
  • Remote browser host (signed-in machine runs automation):
    • 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/**"
Show full SKILL.md (252 more words)Show less

Sessions + slugs (don’t lose work)

  • 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, dependency boundaries).
  • Exact question + what you tried + the error text (verbatim).
  • Constraints (“don’t change X”, “must keep public API”, “perf budget”, etc).
  • Desired output (“return patch plan + tests”, “list risky assumptions”, “give 3 options with tradeoffs”).
“Exhaustive prompt” pattern (for later restoration)

When you know this will be a long investigation, write a prompt that can stand alone later:

  • Top: 6–30 sentence project briefing + current goal.
  • Middle: concrete repro steps + exact errors + what you already tried.
  • Bottom: attach all context files needed so a fresh model can fully understand (entrypoints, configs, key modules, docs).

If you need to reproduce the same context later, re-run with the same prompt + --file … set (Oracle runs are one-shot; the model doesn’t remember prior runs).

Safety

  • Don’t attach secrets by default (.env, key files, auth tokens). Redact aggressively; share only what’s required.
  • Prefer “just enough context”: fewer files + better prompt beats whole-repo dumps.

© majiayu000, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/ai-llm/oracle-nickromney-n-dotfiles-2 of majiayu000/claude-skill-registry.

  • SKILL.md
  • metadata.json

Open the folder on GitHubat commit 2d14a69

Used in 3 other repositories

We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Oracle next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Oracle compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Oracle this skillmajiayu000/claude-skill-registry6663 repos~1.4kAutomated safety check: NotesMIT
Agents Best PracticesDenisSergeevitch/agents-best-practices2.4k—~7.4kAutomated safety check: PassMIT
Codexskills-directory/skill-codex1.5k3 repos~1.8kAutomated safety check: PassMIT
Goinference-gateway/inference-gateway214—~2.4kAutomated safety check: PassApache-2.0
Deepchat SddThinkInAIXYZ/deepchat6.4k—~2.2kAutomated safety check: PassApache-2.0
Codexdavila7/claude-code-templates32k4 repos~1.3kAutomated safety check: PassMIT

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Works with

Categories

Questions about Oracle

What does Oracle do?

Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation. Oracle is an agent skill from majiayu000/claude-skill-registry. Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.

When should I use Oracle?

Oracle fits situations like: tasks that involve Refactoring; tasks that involve Machine learning; tasks that involve Prompt engineering.

How do I install Oracle in Claude Code?

Run `npx skills add majiayu000/claude-skill-registry --skill oracle -a claude-code`. Or copy the skill folder (skills/ai-llm/oracle-nickromney-n-dotfiles-2 in majiayu000/claude-skill-registry) into .claude/skills/oracle in your project. Claude Code loads it when a task matches its description.

How do I install Oracle in Codex?

Run `npx skills add majiayu000/claude-skill-registry --skill oracle -a codex`. Or copy the skill folder (skills/ai-llm/oracle-nickromney-n-dotfiles-2 in majiayu000/claude-skill-registry) into .agents/skills/oracle in your project. Codex loads it when a task matches its description.

Can I use Oracle in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/claude-skill-registry --skill oracle -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/oracle, .gemini/skills/oracle, .github/skills/oracle and .opencode/skills/oracle in your project.

What does Oracle need to run?

Going by SKILL.md and its folder, Oracle needs the command-line tools its instructions call (npx) and credentials named OPENAI_API_KEY. Our summary lists: Node.js; A credential in OPENAI_API_KEY.

Does Oracle access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Oracle safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Oracle use?

Oracle is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Oracle use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Oracle?

Skills that share tags, products or a category with Oracle: Agents Best Practices (DenisSergeevitch/agents-best-practices, 2.4k stars), Codex (skills-directory/skill-codex, 1.5k stars), Go (inference-gateway/inference-gateway, 214 stars) and Deepchat Sdd (ThinkInAIXYZ/deepchat, 6.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Oracle?

majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.

Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.