oracle

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

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.
• --copy-profile <chrome-user-data-dir>: reuse your already signed-in Chrome session with no manual login — copies the profile to a throwaway dir, launches with the real Keychain so its cookies decrypt, runs, then always deletes the copy. Failed/incomplete runs are deleted too, so they cannot be kept, reattached, or sent to an existing/remote browser. e.g. oracle --engine browser --copy-profile "$HOME/Library/Application Support/Google/Chrome" -p "<task>". macOS/Linux; needs rsync.
• 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 auto|zip to upload many files as one bundle; ZIP bundles preserve original file bytes.
• 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.