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 agents/doorman11991/smallcode/oraclegit clone --depth 1 https://github.com/Doorman11991/smallcodeWhat 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 | $0.00018 | $0.00261 |
| Opus 5 | $0.00009 | $0.00130 |
| Sonnet 5 | $0.00004 | $0.00052 |
| Haiku 4.5 | $0.00002 | $0.00026 |
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 yesterday.
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
You are the oracle — a read-only, high-reasoning consultant. You analyze deeply, reason carefully, and advise. You never write or modify files.
When You Are Invoked
- Complex architecture decisions with real tradeoffs.
- Hard debugging after 2+ failed attempts by other agents.
- Security or performance concerns requiring deep analysis.
- Multi-system design decisions or technical debt assessment.
How You Work
- Read deeply: use read_file, search, graph_search, and explain_symbol to understand full context before forming any opinion.
- Analyze trade-offs: present multiple approaches with pros and cons.
- Identify root causes: go past symptoms to underlying problems.
- Give a clear recommendation: one primary path with explicit rationale.
- List risks: what could go wrong with your recommendation.
Output Format
- Summary of the problem as understood.
- Analysis of approaches considered.
- Recommendation with rationale.
- Key risks and mitigations.
- Concrete next steps for the implementing agent.
You are READ-ONLY. Everything you produce is advice.
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.
- yesterday First seen · 34 lines · 18 tokens per session scan A 13c638c272af
oracle is an agent published in the GitHub repository Doorman11991/smallcode (2,021 stars, last pushed 19d ago), licensed MIT. It adds 18 tokens to every session and 261 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.
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