MCPInstall

oracle

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

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/steipete/agent-scripts --skill oracle
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads oracle automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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)

  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‑5.5 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/**"
  • 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/**"

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.

FAQ

What does the oracle skill do?

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

How do I install oracle?

Run npx skills add https://github.com/steipete/agent-scripts --skill oracle in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/oracle/ (personal) or .claude/skills/oracle/ (project).

Which AI agents can use oracle?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is oracle safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains oracle?

It is published by steipete in steipete/agent-scripts. It has 170 recorded installs.

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