oracle
Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.
npx skills add majiayu000/claude-skill-registry --skill oracle-nickromney-n-dotfiles-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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‑5.2 Pro) Default workflow here: `--engine browser` with GPT‑5.2 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‑5.2 Pro (either `--model gpt-5.2-pro` or a ChatGPT picker label like `--model "5.2 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‑5.2 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
- Main use case (browser, GPT‑5.2 Pro)
- Golden path (fast + reliable)
- Commands (preferred)
- Attaching files (--file)
- Budget + observability
- Engines (API vs browser)
- Sessions + slugs (don’t lose work)
- Prompt template (high signal)
- “Exhaustive prompt” pattern (for later restoration)
- Safety
What does the oracle skill do?
Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill oracle-nickromney-n-dotfiles-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.