Agent skill

Oracle

Oracle second-model review: bundle prompts/files, debug, refactor, design.

Install Oracle

skills CLI

$ npx skills add steipete/agent-scripts --skill oracle -a claude-code

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

GitHub CLI

$ gh skill install steipete/agent-scripts 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/steipete/agent-scripts.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/oracle .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/

Paste into Claude Code

Install the "oracle" agent skill from https://github.com/steipete/agent-scripts/tree/main/skills/oracle into .claude/skills/oracle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oracle", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/steipete/agent-scripts/tree/main/skills/oracle

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add steipete/agent-scripts --skill oracle -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install steipete/agent-scripts oracle --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/steipete/agent-scripts.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/oracle .agents/skills/oracle && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "oracle" agent skill from https://github.com/steipete/agent-scripts/tree/main/skills/oracle into .agents/skills/oracle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oracle", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add steipete/agent-scripts --skill oracle -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install steipete/agent-scripts oracle --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/steipete/agent-scripts.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/oracle .cursor/skills/oracle && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "oracle" agent skill from https://github.com/steipete/agent-scripts/tree/main/skills/oracle into .cursor/skills/oracle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oracle", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/steipete/agent-scripts.git --path skills/oracle

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add steipete/agent-scripts --skill oracle -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install steipete/agent-scripts oracle --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/steipete/agent-scripts.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/oracle .gemini/skills/oracle && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "oracle" agent skill from https://github.com/steipete/agent-scripts/tree/main/skills/oracle into .gemini/skills/oracle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oracle", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install steipete/agent-scripts oracle

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add steipete/agent-scripts --skill oracle -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/steipete/agent-scripts.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/oracle .github/skills/oracle && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "oracle" agent skill from https://github.com/steipete/agent-scripts/tree/main/skills/oracle into .github/skills/oracle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oracle", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add steipete/agent-scripts --skill oracle -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install steipete/agent-scripts oracle --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/steipete/agent-scripts.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/oracle .opencode/skills/oracle && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "oracle" agent skill from https://github.com/steipete/agent-scripts/tree/main/skills/oracle into .opencode/skills/oracle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oracle", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: oracle
GitHub stars: 7.3k
Used in: 1 other repo
Token cost: ~2.1k tokens
SKILL.md length: 1,031 words
Files: 1
Skills in repo: 45
Repo updated: Oct 4, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Oracle second-model review: bundle prompts/files, debug, refactor, design.

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 Prompt engineering
SKILL.md covers Main use case (browser,…, Golden path (fast + reliable), Commands (preferred) and Attaching files (--file), plus 6 more sections
Calls npx, pnpm and node; needs OPENAI_API_KEY

What it does

Oracle is an agent skill from steipete/agent-scripts. Oracle second-model review: bundle prompts/files, debug, refactor, design.

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Prompt engineering. It works with OpenAI. The repository describes itself as: Scripts for agents, shared between my repositories. The licence is MIT.

When your agent uses it

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.

Pick a tight file set (fewest files that still contain the truth).
Preview what you’re about to send (--dry-run + --files-report when needed).
Run in browser mode for the usual GPT‑5.5 Pro ChatGPT workflow; use API only when you explicitly want it.
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 79150cf. 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
- pnpm
- node
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npx and pnpm, 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 2.1k tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 1,031 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~20
When it runs · the whole SKILL.md, loaded when a task matches: ~2.1k

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:136

- 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 steipete/agent-scripts at commit 79150cf, republished under its MIT licence (© steipete). 1,031 words, ~2,080 tokens.

Download SKILL.mdSave it as .claude/skills/oracle/SKILL.md (or your agent's skills folder).

name: oracle
description: Oracle second-model review: bundle prompts/files, debug, refactor, design.

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‑5.5 Pro)

Default workflow here: --engine browser with GPT‑5.5 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‑5.5 Pro (either --model gpt-5.5-pro or a ChatGPT picker label like --model "5.5 Pro")
Attachments: directories/globs + excludes; avoid secrets.

Golden path (fast + reliable)

Pick a tight file set (fewest files that still contain the truth).
Preview what you’re about to send (--dry-run + --files-report when needed).
Run in browser mode for the usual GPT‑5.5 Pro ChatGPT workflow; use API only when you explicitly want it.
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/**"
Startup/perf trace:
- npx -y @steipete/oracle --perf-trace --perf-trace-path /tmp/oracle-perf.json --dry-run summary -p "<task>" --file "src/**"
- Use when CLI startup or time-to-first-output feels slow; inspect first-output and exit.
Browser run (main path; long-running is normal):
- npx -y @steipete/oracle --engine browser --model gpt-5.5-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/**").
- Default cap: files > 1 MB are rejected unless you raise ORACLE_MAX_FILE_SIZE_BYTES or maxFileSizeBytes in ~/.oracle/config.json.

Budget + observability

Target: keep total input under ~196k tokens.
Use --files-report (and/or --dry-run json) to spot the token hogs before spending.
Use --perf-trace / ORACLE_PERF_TRACE=1 for startup and first-output timing. Traces redact prompts, tokens, keys, cookies, and inline cookie payloads; detached API children write a session-suffixed sidecar trace.
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).
- Add --browser-bundle-files --browser-bundle-format zip to upload many text files as one ZIP while preserving file names.
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 (486 more words)Show less

API preflight

API runs require explicit user consent and cost money.
Before API runs, check provider readiness without printing secrets:
- oracle doctor --providers --models gpt-5.4,claude-4.6-sonnet,gemini-3-pro
- oracle --preflight --models gpt-5.4,gemini-3-pro
- oracle --route --model gpt-5.4
If the user wants first-party OpenAI, pass --provider openai or --no-azure. This prevents exported Azure env/config from hijacking the route:
- oracle --provider openai --engine api --model gpt-5.5-pro ...
For advisory multi-model panels where partial success is useful, use --allow-partial --write-output <path> so successful model files and the <stem>.oracle.json manifest are easy to recover:
- oracle --models gpt-5.4,claude-4.6-sonnet,gemini-3-pro --allow-partial --write-output /tmp/panel.md -p "<task>"
--timeout 10m is the normal user-facing API deadline; Oracle derives the HTTP transport timeout unless --http-timeout is explicitly set.
If the exported OPENAI_API_KEY is invalid and the user wants their personal OpenAI key, use $one-password in one persistent tmux session. Known item: API Key - OpenAI - Personal, field api_key. Inject only into the single Oracle command; never print the key:
- OPENAI_API_KEY="$(op item get 'API Key - OpenAI - Personal' --account my.1password.com --fields label=api_key --reveal)" oracle --provider openai --engine api --model gpt-5.5-pro ...
For debugging Oracle itself, prefer the local checkout after pulling ~/Projects/oracle:
- pnpm -C ~/Projects/oracle run build
- node ~/Projects/oracle/dist/scripts/run-cli.js ...

Sessions + slugs (don’t lose work)

Stored under ~/.oracle/sessions (override with ORACLE_HOME_DIR).
Browser runs save durable files under ~/.oracle/sessions/<id>/artifacts/, including transcript.md, Deep Research reports, and downloaded ChatGPT-generated images when available.
Runs may detach or take a long time (browser/API + GPT‑5.5 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.
CLI guardrails: root runs without a prompt exit nonzero; --dry-run conflicts with --render / --render-markdown; Ctrl-C exits foreground API runs with code 130 while browser cleanup/reattach still runs.

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.

Files

Just SKILL.md in skills/oracle of steipete/agent-scripts.

Open the folder on GitHubat commit 79150cf

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in steipete/agent-scripts, which our catalogue first saw on October 7, 2026.

ninehills/skillsoracle

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
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Oracle this skillsteipete/agent-scripts	7.3k	1 repos	~2.1k	Automated safety check: Notes	MIT	2 days ago
AI Wrapper Productaiskillstore/marketplace	430	3 repos	~3.9k	Automated safety check: Pass	None	today
AI Wrapper Productdavila7/claude-code-templates	32k	3 repos	~1.7k	Automated safety check: Pass	MIT	today
Agents Best PracticesDenisSergeevitch/agents-best-practices	2.4k	—	~7.4k	Automated safety check: Pass	MIT	2 days ago
Caveman Gateway SetupJuliusBrussee/caveman	110k	1 repos	~2.6k	Automated safety check: Warn	Apache-2.0	today
Prompt Architectckelsoe/prompt-architect	310	1 repos	~6.9k	Automated safety check: Pass	MIT	2 mo ago

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Questions about Oracle

What does Oracle do?

Oracle second-model review: bundle prompts/files, debug, refactor, design. Oracle is an agent skill from steipete/agent-scripts. Oracle second-model review: bundle prompts/files, debug, refactor, design.

When should I use Oracle?

Oracle fits situations like: tasks that involve Prompt engineering.

How do I install Oracle in Claude Code?

Run `npx skills add steipete/agent-scripts --skill oracle -a claude-code`. Or copy the skill folder (skills/oracle in steipete/agent-scripts) 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 steipete/agent-scripts --skill oracle -a codex`. Or copy the skill folder (skills/oracle in steipete/agent-scripts) 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 steipete/agent-scripts --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, pnpm and node) 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 2.1k tokens (SKILL.md is roughly 8.3k 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: AI Wrapper Product (aiskillstore/marketplace, 430 stars), AI Wrapper Product (davila7/claude-code-templates, 32k stars), Agents Best Practices (DenisSergeevitch/agents-best-practices, 2.4k stars) and Caveman Gateway Setup (JuliusBrussee/caveman, 110k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Oracle?

steipete (a GitHub user) maintains it in steipete/agent-scripts, which has 7,259 GitHub stars. The repository holds 45 skills in this directory. The repository was last updated on October 4, 2026.

Source: steipete/agent-scripts on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Oracle

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Oracle (CLI) — best use

Main use case (browser, GPT‑5.5 Pro)

Golden path (fast + reliable)

Commands (preferred)

Attaching files (--file)

Budget + observability

Engines (API vs browser)

API preflight

Sessions + slugs (don’t lose work)

Prompt template (high signal)

“Exhaustive prompt” pattern (for later restoration)

Safety

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from steipete/agent-scripts

Related

Questions about Oracle

Attaching files (`--file`)