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 | $0.05057 |
| Opus 5.5 | $0.00008 | $0.02023 |
| Sonnet 5.5 | $0.00004 | $0.01011 |
| Haiku 4.5 | $0.00002 | $0.00506 |
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.
This is a copy
97% identical to oracle — 39 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
25 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.
- LICENSE.upstream.txt 1.0 KB
- 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 913 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/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.
- yesterday Changed 4212f66605d7
- 24d ago Changed 2dc2c1e6cb4e
- 1mo ago Changed · -1 lines 98320ca02c82
- 1mo 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 (73 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 5,057 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to oracle, differing in 39 lines, and is treated as a copy.
Other skills, from other repositories
omh-model-setup
This is a Hermes-native model-setup workflow skill.
omh-model-optimization
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omh-llm-app-dev
This is an OMH llm-app-dev workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).
omh-jev-ask
Required: text to judge and independent typed questions. Output: Jev's probabilities, served model, and cost, or a non-answer status.
awesome-chatgpt
Search this repository's awesome-ChatGPT-repositories list for open-source ChatGPT and LLM projects such as RAG frameworks, agents, chatbots, CLIs, prompts, and browser extensions. Use when the user asks to find tools, libraries, or repos related to ChatGPT, LLMs, or AI development; not for editing or adding list…
lijigang-skill
A Chinese-language approach to writing precise, highly structured prompts, sometimes using Lisp-like notation. It combines concise wording, philosophical questioning, and a process for defining roles, conditions, output formats, and revisions.