reasoning-models SKILL.md skillA

reasoning-models from jnpiyush/agentx is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jnpiyush/agentx/reasoning-models@v1.1.0

Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jnpiyush/agentx
Path
.github/skills/ai-systems/reasoning-models/SKILL.md
Versions recorded
4
Latest version
v1.1.0, committed Oct 10, 2026
First version recorded
Apr 30, 2026
Size
5,799 bytes
Repository stars
19
License
Apache-2.0

Use reasoning / thinking models (GPT-6 Astra, Claude Opus 5.5, DeepSeek R1, Gemini Thinking) effectively. Covers when to choose reasoning vs fast models, prompt patterns for reasoners, effort / thinking controls, structured outputs with reasoning, cost/latency trade-offs, and combining reasoners with fast models.

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

# Reasoning Models

> **Purpose**: Get reliable answers from reasoning models without overspending or stalling on tasks that do not need them.

---

## When to Use This Skill

- Choosing between a reasoning model (Claude Opus 5.5, GPT-6 Astra, DeepSeek R1, Gemini Thinking) and a fast model
- Setting effort (`low` / `medium` / `high`, plus `xhigh` / `max` where supported)
- Designing prompts for reasoning models (different from chat models)
- Combining reasoners (planner) with fast models (executor)
- Diagnosing high cost or latency on reasoning calls

## When NOT to Use a Reasoning Model

- Routine extraction, summarization, classification -- a fast model is cheaper and faster
- Strict latency budget (<2s end-to-end) -- reasoning models add seconds
- Tool-use-heavy loops where each turn is short -- fast model + scaffolding is usually better

---

## Decision Tree

```
Is the task hard? (multi-step reasoning, math, planning, code refactor across files,
                   ambiguous spec, agent strategy)
+- No  -> Fast model or the lowest effort that passes evals (claude-haiku-4.5, gpt-6-luna)
+- Yes -> Reasoning model
        +- Need fast feedback loop?  -> Effort = low / medium
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jnpiyush/agentx/reasoning-models@sha256:4b975fb64e480fab

The line at the top of this page pins the label v1.1.0, 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_247als2qv3izkklp.svg)](https://markdownregistry.com/a/art_247als2qv3izkklp)

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

Versions

The registry has recorded 4 versions of this file, between Apr 30, 2026 and Oct 10, 2026, about one every 54 days.

versioncommittedcommitsizeaudit
v1.1.0 latest2026-10-10 87e53aa 5,799 BA view · diff
v1.0.02026-09-15 f17c505 5,092 BA view · diff
v1.0.02026-06-23 bab3a1b 5,090 BA view · diff
v1.0.02026-04-30 4f38ce8 5,091 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 (5799 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

jnpiyush/agentx · 19 stars · license Apache-2.0 · pushed 2026-11-04 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_247als2qv3izkklp
GET https://markdownregistry.com/api/v1/resolve?ref=jnpiyush/agentx/reasoning-models
GET https://markdownregistry.com/api/v1/blob/4b975fb64e480fab4758f5d880f7586c730d0d4cf3e1442c7cad49dad2c8711b

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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