steipete/agent-scripts/skills/oracle/SKILL.md
oracle
Oracle second-model review: bundle prompts/files, debug, refactor, design.
- Source repository stars
- 6,508
- Declared platforms
- 0
- Static risk flags
- 1
- Last source update
- 2026-08-04
- Source checked
- 2026-08-05
Decision brief
What it does—and where it fits
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.
Not for
- Tasks that require unconfirmed production actions or broad system permissions.
- Environments where the pinned source and install steps cannot be inspected.
Compatibility matrix
Platform support, with evidence labels
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
Inspect first. Install second.
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/steipete/agent-scripts --skill "skills/oracle"Inspect the Agent Skill "oracle" from https://github.com/steipete/agent-scripts/blob/4ed372659859acc16d632f8d99a8ad219996ec25/skills/oracle/SKILL.md at commit 4ed372659859acc16d632f8d99a8ad219996ec25. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
What the source asks the agent to do
- 01
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.
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. - 02
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 detache…
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. - 03
Commands (preferred)
Show help (once/session):
Show help (once/session):npx -y @steipete/oracle --helpPreview (no tokens): - 04
Attaching files (--file)
--file accepts files, directories, and globs. You can pass it multiple times; entries can be comma-separated.
Include:--file "src/" (directory glob)--file src/index.ts (literal file) - 05
Budget + observability
Target: keep total input under 196k tokens.
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 / ORACLEPERFTRACE=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.
Permission review
Static risk signals and limitations
Runs scripts
The documentation asks the agent to run terminal commands or scripts.
`node ~/Projects/oracle/dist/scripts/run-cli.js ...`Evidence record
Why each signal appears
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 86/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 6,508 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Provenance and original SKILL.md
- Repository
- steipete/agent-scripts
- Skill path
- skills/oracle/SKILL.md
- Commit
- 4ed372659859acc16d632f8d99a8ad219996ec25
- License
- MIT
- Collected
- 2026-08-05
- Default branch
- main
View the original SKILL.md
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-proor 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-reportwhen 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-outputandexit.
-
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:
--copyis 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.
-
Include:
--file "src/**"(directory glob)--file src/index.ts(literal file)--file docs --file README.md(literal directory + file)
-
Exclude (prefix with
!):--file "src/**" --file "!src/**/*.test.ts" --file "!**/*.snap"
-
Defaults (important behavior from the implementation):
- Default-ignored dirs:
node_modules,dist,coverage,.git,.turbo,.next,build,tmp(skipped unless you explicitly pass them as literal dirs/files). - Honors
.gitignorewhen expanding globs. - Does not follow symlinks (glob expansion uses
followSymbolicLinks: false). - Dotfiles are filtered unless you explicitly opt in with a pattern that includes a dot-segment (e.g.
--file ".github/**"). - Default cap: files > 1 MB are rejected unless you raise
ORACLE_MAX_FILE_SIZE_BYTESormaxFileSizeBytesin~/.oracle/config.json.
- Default-ignored dirs:
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=1for 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
apiwhenOPENAI_API_KEYis set, otherwisebrowser. - Browser engine supports GPT + Gemini only; use
--engine apifor 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 zipto 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/**"
- Host:
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-prooracle --preflight --models gpt-5.4,gemini-3-prooracle --route --model gpt-5.4
- If the user wants first-party OpenAI, pass
--provider openaior--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.jsonmanifest 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 10mis the normal user-facing API deadline; Oracle derives the HTTP transport timeout unless--http-timeoutis explicitly set.- If the exported
OPENAI_API_KEYis invalid and the user wants their personal OpenAI key, use$one-passwordin one persistent tmux session. Known item:API Key - OpenAI - Personal, fieldapi_key. Inject only into the single Oracle command; never print the key:OPENAI_API_KEY="$(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 buildnode ~/Projects/oracle/dist/scripts/run-cli.js ...
Sessions + slugs (don’t lose work)
- Stored under
~/.oracle/sessions(override withORACLE_HOME_DIR). - Browser runs save durable files under
~/.oracle/sessions/<id>/artifacts/, includingtranscript.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
- List:
- Use
--slug "<3-5 words>"to keep session IDs readable. - Duplicate prompt guard exists; use
--forceonly when you truly want a fresh run. - CLI guardrails: root runs without a prompt exit nonzero;
--dry-runconflicts 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.
Alternatives
Compare before choosing
coreyhaines31/marketingskills
ab-testing
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program
JasonColapietro/suede-creator-skills
suede-ab-testing
Suede-owned experimentation discipline for hypotheses, sample sizing, test duration, significance, and repeatable experiment programs. Use when comparing variants, deciding whether a result is reliable, or building an experiment backlog and cadence. NOT FOR: analytics instrumentation (use suede-analytics), post-click conversion diagnosis (use suede-site-alchemy), or writing the variant copy itself (use suede-copy).
narrative-io/narrative-skills-marketplace
design-analysis
Translate a fuzzy analytical question into a rigorous investigation plan. Interrogates the ask, grounds the plan in the available data dictionary, applies analytical best practices, and produces a structured brief of query specifications for a downstream query-writing skill. Plans, does not write SQL. Use when: "why did X drop", "is there a relationship between A and B", "who are our highest-value customers", "what's driving the change in Y", "investigate this trend", "design an analysis for", "
event4u-app/agent-config
existing-ui-audit
Use BEFORE writing or editing any non-trivial UI — inventories components, design tokens, shadcn primitives, and reusable patterns into state.ui_audit. Hard gate for the ui directive set.