| 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.
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.