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 frankxai/claude-skills-library --skill oracle-agent-specgit clone --depth 1 https://github.com/frankxai/claude-skills-libraryWrote 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/frankxai/claude-skills-library/oracle-agent-spec)<a href="https://agentmods.dev/skills/frankxai/claude-skills-library/oracle-agent-spec"><img src="https://agentmods.dev/badge/skills/frankxai/claude-skills-library/oracle-agent-spec/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/frankxai/claude-skills-library/oracle-agent-spec"><img src="https://agentmods.dev/badge/skills/frankxai/claude-skills-library/oracle-agent-spec.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 | $0.00046 | $0.02632 |
| Opus 5.5 | $0.00018 | $0.01053 |
| Sonnet 5.5 | $0.00009 | $0.00526 |
| Haiku 4.5 | $0.00005 | $0.00263 |
Grade A, and why
oracle-agent-spec 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- Oracle Agent Spec Expert — 88% identical, 945 lines differ
How it starts
The opening of the file, as written. The whole thing — 459 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Oracle Agent Spec Expert Skill
Purpose
Master Oracle's Open Agent Specification (Agent Spec) to design framework-agnostic, declarative AI agents that can be authored once and deployed across multiple frameworks and runtimes.
What is Agent Spec?
Open Agent Specification
Framework-agnostic declarative language for defining agentic systems, building blocks for standalone agents and structured workflows, plus composition patterns for multi-agent systems.
Key Innovation: Decouple design from execution - write agents once, run anywhere.
Release: Technical report published October 2025 (arXiv:2510.04173)
Core Philosophy
The Problem: Fragmented agent development - each framework requires different implementation.
The Solution: Unified representation - Agent Spec defines structure and behavior in JSON/YAML that any compatible runtime can execute.
Benefit: Author agents once → Deploy across frameworks → Reduce redundant development.
Architecture
Component Model
Agent Spec defines conceptual building blocks (components) that make up agent-based systems.
Key Property: All components are trivially serializable to JSON/YAML.
Core Components
1. LLMNode
Purpose: Text generation via LLM
Definition:
type: LLMNode
name: "text_generator"
model: "claude-sonnet-5"
system_prompt: "You are a helpful assistant"
temperature: 0.7
max_tokens: 2000
2. APINode
Purpose: External API calls
Definition:
type: APINode
name: "weather_api"
endpoint: "https://api.weather.com/v1/current"
method: "GET"
parameters:
location: "{input.location}"
headers:
Authorization: "Bearer {env.API_KEY}"
3. AgentNode
Purpose: Multi-round conversational agent
Definition:
type: AgentNode
name: "support_agent"
model: "gpt-4"
system_prompt: "You are a customer support specialist"
tools:
- type: function
name: "lookup_order"
- type: function
name: "process_refund"
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.
- 1mo ago Changed 0a00054b4362
- 1mo ago First seen · 459 lines · 46 tokens per session scan A 9b69d8e8106d
oracle-agent-spec is a skill published in the GitHub repository frankxai/claude-skills-library (47 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 2,632 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.
Other skills, from other repositories
token-saver
Token optimization guide for Claude Code. This skill should be used when the user wants to reduce API costs, learn model routing strategies, or understand how to use free/cheaper tools (Ollama, Haiku) instead of burning expensive Claude tokens on routine tasks. Triggers on: save tokens, reduce costs, token tips, cheap…
wayfinder
A planning method that maps a large, uncertain project into linked decision tickets in a repository's issue tracker. An issue tracker is a system for recording and organizing project work.
scaffold-exercises
A directory scaffold for course exercises, with sections, exercise folders, and optional problem, solution, or explanation versions. It creates the required Markdown files and checks the result with the repository's linter.
migrate-to-shoehorn
A testing guide for Shoehorn, a TypeScript library that lets tests provide only the fields they need from a larger data type.
ask-matt
A skill router that helps choose the right workflow or skill for the current task. It maps work from an initial idea through building and shipping, with separate paths for research, prototypes, and multi-session projects.
improve-codebase-architecture
A skill that scans a codebase for places where restructuring could make future changes and testing easier, then produces an HTML report for selected improvements.