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 seaworld008/Commonly-used-high-value-skills --skill oraclegit clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-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/seaworld008/commonly-used-high-value-skills/oracle)<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/oracle"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-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/seaworld008/commonly-used-high-value-skills/oracle"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/oracle.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00019 | $0.05051 |
| Opus 5 | $0.00010 | $0.02525 |
| Sonnet 5 | $0.00004 | $0.01010 |
| Haiku 4.5 | $0.00002 | $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 4d 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.
This is a copy
97% identical to oracle — 20 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 272 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
24 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.
- 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/autorun-schema.md 616 B
- reference/cost-optimization.md 19 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/prompt-engineering.md 16 KB
- reference/rag-design-anti-patterns.md 9.9 KB
- reference/recipes-index.md 1.8 KB
- reference/reference-index.md 2.6 KB
- references/agent-design.md 7.1 KB
- references/ai-safety-guardrails.md 3.8 KB
- references/cost-optimization.md 6.8 KB
- references/evaluation-observability.md 4.1 KB
- references/llm-application-patterns.md 4.0 KB
- references/llm-production-anti-patterns.md 3.7 KB
- references/prompt-engineering.md 4.1 KB
- references/rag-design-anti-patterns.md 4.5 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.
- 4d ago Changed · -1 lines 98320ca02c82
- 8d ago First seen · 273 lines · 19 tokens per session scan A 25e496e2d574
oracle is a skill published in the GitHub repository seaworld008/Commonly-used-high-value-skills (70 stars, last pushed 4d ago), licensed MIT. It adds 19 tokens to every session and 5,051 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to oracle, differing in 20 lines, and is treated as a copy.
Other skills, from other repositories
dify-workflow
Use when dify AI workflow platform — LLM apps, knowledge bases, agents, workflow orchestration, API deployment. Use when working with dify workflow.
prompt-template-wizard
Rigorously collects and validates all fields needed to produce a complete, unambiguous prompt template for features and bug fixes. The skill asks targeted questions until the template is fully filled, consistent, and ready to paste into a Codex/GPT-5.2 coding session.
dspy
DSPy: declarative LM programs, auto-optimize prompts, RAG.
omh-llm-app-dev
This is a Hermes-native llm-app-dev workflow skill.
omh-model-setup
This is a Hermes-native model-setup workflow skill.
omh-model-optimization
This is a Hermes-native model-optimization workflow skill.