oracle
OfficialOracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.
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
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": "…" }]
}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.
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