agentmods.dev

oracle

A command-line tool guide for sending a selected prompt and set of project files to another model for review. The other model's response is advice that still needs checking against the code and tests.

In plain words
What is it for?
Use it to review a focused group of files, preview what will be shared, and reconnect to a long-running browser-based review session.
Why use it?
It helps obtain a second opinion on debugging, refactoring, or design decisions with relevant repository context attached.

Skill for Claude CodeCodex

6.6k 2d ago A scan 18 tokens original MIT
View the source file steipete/agent-scripts
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/steipete/agent-scripts/oracle
Any agent
npx skills add steipete/agent-scripts --skill oracle
Clone the repo
git clone --depth 1 https://github.com/steipete/agent-scripts

Made for: Claude Code, Codex.

Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,187 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00018 $0.02187
Opus 5 $0.00009 $0.01094
Sonnet 5 $0.00004 $0.00437
Haiku 4.5 $0.00002 $0.00219

Measured 2d ago against content hash e08d6cc6a499, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

oracle scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/oracle/SKILL.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.

Read the full file on GitHub · 138 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 138 lines · 18 tokens per session scan A e08d6cc6a499

Subscribe to this mod's changes

oracle is a skill published in the GitHub repository steipete/agent-scripts (6,580 stars, last pushed 2d ago), licensed MIT. It adds 18 tokens to every session and 2,187 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Code reviewDebuggingTestingai-agents
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