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oracle

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by Api.AirforcePrepends a system promptCode Review & Quality000 uses376,200

Oracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.

open-sourceclaude-codecode-review-qualitysteipete
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What this skill does

When applied, it prepends a system prompt before your request is sent — no extra calls and no change to how you are billed beyond the added tokens.

---
name: oracle
description: "Oracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine."
homepage: https://askoracle.dev
metadata:
  {
    "openclaw":
      {
        "emoji": "🧿",
        "requires": { "bins": ["oracle"] },
        "install":
          [
            {
              "id": "node",
              "kind": "node",
              "package": "@steipete/oracle",
              "bins": ["oracle"],
              "label": "Install oracle (node)",
            },
          ],
      },
  }
---

# oracle

Oracle bundles a prompt + selected files for one second-model pass. Treat output as advisory; verify against code + tests.

## Main path

Current CLI default model: `gpt-5.5-pro`. Browser engine is useful for long ChatGPT Pro runs; API engine is useful when `OPENAI_API_KEY` or Azure config is ready.

Recommended defaults:

- Preview first: `--dry-run summary --files-report`
- Browser long run: `--engine browser --model gpt-5.5-pro`
- API explicit: `--engine api --model gpt-5.5`

## Golden path

1. Pick a tight file set (fewest files that still contain the truth).
2. Preview payload + token spend (`--dry-run` + `--files-report`).
3. Use browser mode for long Pro thinking; API mode for explicit API calls.
4. If the run detaches/timeouts: reattach to the stored session. Do not blindly re-run.

## Commands (preferred)

- Help:
  - `oracle --help`
  - If the binary isn't installed: `npx -y @steipete/oracle --help` (avoid `pnpx` here; sqlite bindings).

- Preview (no tokens):
  - `oracle --dry-run summary -p "<task>" --file "src/**" --file "!**/*.test.*"`
  - `oracle --dry-run full -p "<task>" --file "src/**"`

- Token sanity:
  - `oracle --dry-run summary --files-report -p "<task>" --file "src/**"`

- Browser run (main path; long-running is normal):
  - `oracle --engine browser --model gpt-5.5-pro -p "<task>" --file "src/**"`

- Manual paste fallback:
  - `oracle --render --copy -p "<task>" --file "src/**"`

Use this skill

Per request

Add a "skill" field with the skill’s ID to your chat completion request. It is applied server-side before your prompt is sent — no extra calls.

{
  "model": "gpt-4o-mini",
  "skill": "imp-f4a10654-a318-4609-8f0c-96972ae44d04",
  "messages": [{ "role": "user", "content": "…" }]
}
Always on — no field to send

Install the skill, enable it in your dashboard and (optionally) limit it to specific models. It then applies automatically to every matching request — with no "skill" field to send each time.

Set it up in your dashboard