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.
npx agentmods add skills/vaayne/agent-kit/agent-oraclenpx skills add vaayne/agent-kit --skill agent-oraclegit clone --depth 1 https://github.com/vaayne/agent-kitWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00093 | $0.00388 |
| Opus 5 | $0.00046 | $0.00194 |
| Sonnet 5 | $0.00019 | $0.00078 |
| Haiku 4.5 | $0.00009 | $0.00039 |
Grade A, and why
agent-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.
What it actually says
Agent Oracle
Spawn a read-only advisor subagent for exactly one unresolved decision, invariant, or debugging question. This is the most expensive role: consult it only when the answer would materially change a high-impact decision, and never spawn it merely to verify finished work.
When not to use
- Routine self-review, general reassurance, or a second pair of eyes.
- Broad "find anything I missed" requests — identify a concrete concern first.
- Work that is merely complex or high-impact without an unresolved question.
- Searches (agent-finder / agent-librarian) or making code changes (do it yourself or delegate implementation).
How to write the task
- State the unresolved question, what you already checked, and why the answer changes the decision.
- Constrain it to one decision, invariant, or debugging question; tell the oracle what to ignore so scope creep doesn't dilute the answer.
- Include the necessary context directly: relevant file paths inline, the intended behavior, and the constraints or product choices already settled.
- If asking about current changes, say so explicitly so it inspects
git diff. - State the output you need: the invariant and failing sequence if one exists, or a recommended alternative plus the evidence that would reverse the decision.
- For a follow-up review, name the prior finding and the exact change that should resolve it.
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.
- 2d ago First seen · 34 lines · 93 tokens per session scan A 4d7d452f6aa9
agent-oracle is a skill published in the GitHub repository vaayne/agent-kit (53 stars, last pushed 5d ago), licensed MIT. It adds 93 tokens to every session and 388 once invoked, about $0.0005 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.
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