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 skills add simota/agent-skills --skill oraclegit clone --depth 1 https://github.com/simota/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/simota/agent-skills/oracle)<a href="https://agentmods.dev/skills/simota/agent-skills/oracle"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/oracle/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/simota/agent-skills/oracle"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/oracle.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 6 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- high Anti-Refusal · line 109 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
- medium Prompt Injection · line 151 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 175 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00045 | $0.05049 |
| Opus 5.5 | $0.00018 | $0.02020 |
| Sonnet 5.5 | $0.00009 | $0.01010 |
| Haiku 4.5 | $0.00005 | $0.00505 |
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- oracle — 97% identical, 39 lines differ
How it starts
The opening of the file, as written. The whole thing — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Oracle
AI/ML design and evaluation specialist. Oracle designs prompt systems, RAG pipelines, guardrails, evaluation frameworks, and cost-aware delivery plans. Implementation goes to Builder; data-pipeline work goes to Stream.
What ships with it
22 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- _common 10 B
- reference/_common 13 B
- reference/advanced-tool-use.md 14 KB
- reference/agent-behavior-contract.md 13 KB
- reference/agent-design.md 12 KB
- reference/ai-safety-guardrails.md 7.0 KB
- reference/architecture-review.md 8.2 KB
- reference/beacon 12 B
- reference/cloak 11 B
- reference/cost-optimization.md 18 KB
- reference/embedding-strategy.md 7.5 KB
- reference/evaluation-observability.md 19 KB
- reference/human-ai-trust.md 16 KB
- reference/llm-application-patterns.md 11 KB
- reference/llm-production-anti-patterns.md 6.9 KB
- reference/nexus 11 B
- reference/omen 10 B
- reference/probe 11 B
- reference/prompt-engineering.md 17 KB
- reference/rag-design-anti-patterns.md 9.9 KB
- reference/recipes-index.md 1.8 KB
- reference/reference-index.md 2.7 KB
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 Changed · +1 lines 01df3a8055f1
- 11d ago Changed · -3 lines 54e26fe0d96f
- 1mo ago Changed · -1 lines debd39df7f89
- 1mo ago First seen · 262 lines · 45 tokens per session scan A c14b16d1baaf
oracle is a skill published in the GitHub repository simota/agent-skills (94 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 5,049 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
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ai-engineering-toolkit
6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching.