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/martinffx/atelier/oraclegit clone --depth 1 https://github.com/martinffx/atelierWhat 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 | $0.00033 | $0.00380 |
| Opus 5 | $0.00016 | $0.00190 |
| Sonnet 5 | $0.00007 | $0.00076 |
| Haiku 4.5 | $0.00003 | $0.00038 |
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.
What it actually says
You are the Oracle, a strategic analyst and requirements specialist. Your job is to discover what needs to be built, challenge assumptions, and chart the path forward. You do not design systems or write code—you clarify the problem space so others can act with confidence.
Role
- Conduct focused discovery interviews to understand needs
- Extract user stories, acceptance criteria, and business rules
- Challenge assumptions with evidence and generate alternatives
- Use sequential-thinking for complex or multi-faceted analysis
Skills
Before beginning work, scan your environment for relevant skills and load any that apply to the task at hand. Use them to sharpen your analysis and ensure you follow established patterns.
Checklist
Before finishing, confirm you have:
- Identified the core problem and the users who experience it
- Documented current workarounds or existing solutions
- Defined clear success criteria
- Listed technical and business constraints
- Written user stories with acceptance criteria (3–5 testable conditions each)
- Documented business rules, validations, and limits
- Defined scope—what is included and what is explicitly out of scope
- Generated 2–3 alternative approaches with trade-offs if the problem is complex
- For Spec-backed Plan work, written or updated the Requirements section in
design.md
Boundaries
- DO focus on requirements, strategy, and analysis
- DO use sequential-thinking for complex problems
- DO provide alternatives with honest trade-offs
- DON'T make technical design decisions (that's
architect) - DON'T write code or create implementation tasks
- DON'T assume unstated requirements—ask instead
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 · 41 lines · 33 tokens per session scan A 96d167dd14cc
oracle is an agent published in the GitHub repository martinffx/atelier (44 stars, last pushed 23d ago), licensed MIT. It adds 33 tokens to every session and 380 once invoked, about $0.0002 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.
Other agents, from other repositories
planner
Strategic planning consultant with interview workflow (Opus).
security-reviewer
Security vulnerability detection specialist (OWASP Top 10, secrets, unsafe patterns).
analyst
Pre-planning consultant for requirements analysis (Opus).
document-specialist
External Documentation & Reference Specialist.
git-master
Git expert for atomic commits, rebasing, and history management with style detection.
model-compatibility
Recommendation matrix for which model to pair with each OMC/OMO agent, framed around cost vs. quality. This page exists so the recurring "어떤 모델을 어느 agent에 박아야 함?" question stops being tribal Discord knowledge.