oracle SKILL.md skillA

oracle from simota/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add simota/agent-skills/oracle@git:20261019.e7cdf45

Pins git:20261019.e7cdf45 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
simota/agent-skills
Path
oracle/SKILL.md
Versions recorded
9
Latest version
git:20261019.e7cdf45, committed Oct 19, 2026
First version recorded
Aug 19, 2026
Size
23,993 bytes
Repository stars
99
License
MIT

Designing and evaluating AI/ML systems: prompt engineering, RAG design, LLM application patterns, AI safety, evaluation frameworks, MLOps, cost optimization. Use for AI pipelines or eval harnesses.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

<!--
CAPABILITIES_SUMMARY:
- prompt_engineering: Design, optimize, and evaluate LLM prompts
- rag_design: Design RAG architectures (chunking, retrieval, reranking)
- llm_application_patterns: Design LLM integration patterns (agents, chains, tools)
- ai_safety: Evaluate AI safety, bias, and alignment concerns
- evaluation_frameworks: Design eval suites for LLM outputs
- mlops: Design ML pipeline, monitoring, and deployment patterns
- cost_optimization: Optimize LLM usage costs (model selection, caching, batching)
- agent_system_design: Design application-level LLM agents (tool-use loops, tool-call schemas, context/memory, subagent delegation, termination conditions, failure modes)
- llm_cost_optimization: LLM-API cost tuning (token budget per request, prompt caching TTL, model tier routing haiku/sonnet/opus, batch API vs streaming, context compression, per-feature SLO/cost budget)
- ai_architecture_review: Design review of AI-embedding systems (12 lenses, risk tiers R0-R3, conditional approval with exit criteria, re-review triggers, four-owner responsibility split)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add simota/agent-skills/oracle@sha256:01df3a8055f1fadc

The line at the top of this page pins the label git:20261019.e7cdf45, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_zsma5naxuegzteh2.svg)](https://markdownregistry.com/a/art_zsma5naxuegzteh2)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 9 versions of this file, between Aug 19, 2026 and Oct 19, 2026, about one every 8 days.

versioncommittedcommitsizeaudit
git:20261019.e7cdf45 latest2026-10-19 e7cdf45 23,993 BA view · diff
git:20261009.1e213832026-10-09 1e21383 23,888 BA view · diff
git:20260917.c8052682026-09-17 c805268 23,800 BA view · diff
git:20260916.35ffd552026-09-16 35ffd55 23,867 BA view · diff
git:20260820.4d4eeea2026-08-20 4d4eeea 24,038 BA view · diff
git:20260820.e942f012026-08-20 e942f01 24,015 BA view · diff
git:20260820.22a71d02026-08-20 22a71d0 26,123 BA view · diff
git:20260820.9805aa12026-08-20 9805aa1 27,367 BA view · diff
git:20260819.9d3efaf2026-08-19 9d3efaf 27,063 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (23993 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

simota/agent-skills · 99 stars · license MIT · pushed 2026-10-26 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_zsma5naxuegzteh2
GET https://markdownregistry.com/api/v1/resolve?ref=simota/agent-skills/oracle
GET https://markdownregistry.com/api/v1/blob/01df3a8055f1fadcad37f0c6009f2a54ed53836496834fe4b6e0367c38f2061f

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in simota/agent-skills

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