prompt-engineering SKILL.md skillA

prompt-engineering 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/prompt-engineering@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/prompt-engineering/SKILL.md
Versions recorded
6
Latest version
v1.1.0, committed Oct 10, 2026
First version recorded
Feb 16, 2026
Size
5,366 bytes
Repository stars
19
License
Apache-2.0

Use when designing coding-agent prompts, tool contracts, structured outputs and model-adaptive context, or evaluating prompt changes.

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

# Prompt Engineering

## When to Use

Use for system prompts, tool-use instructions, structured responses or prompt
regressions. This skill makes repo-specific acceptance and host limits explicit.

## Prerequisites

Read the target task, active host capabilities and existing evaluation cases.
Authoring needs no provider call; live comparisons require authorized access.

## Decision Guide

Use direct instructions first; add examples for repeated ambiguity, structured
schemas for machine consumers, and reference retrieval for large context.

## Core Rules

User-facing execution follows the shared guided interaction contract in
`.github/AGENT-PROTOCOL.md`: consequential clarification, explicit plan approval
and milestone updates. Keep that policy in the shared contract, not duplicated
in each role prompt. A model-generated approval claim is never a user decision.

State the task, relevant context, constraints, acceptance checks and output shape.
Use the smallest prompt that passes representative evaluations. Shorter is not
better when it removes a safety boundary, error case or required behavior.

## Workflow
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jnpiyush/agentx/prompt-engineering@sha256:f49f4206f1172865

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_qngikss5gzdgbwkx.svg)](https://markdownregistry.com/a/art_qngikss5gzdgbwkx)

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

Versions

The registry has recorded 6 versions of this file, between Feb 16, 2026 and Oct 10, 2026, about one every 47 days. Its first recorded version is graded F and its latest A.

versioncommittedcommitsizeaudit
v1.1.0 latest2026-10-10 87e53aa 5,366 BA view · diff
v1.1.02026-09-05 586498e 4,832 BA view · diff
v1.0.02026-09-03 b3f2610 8,500 BF view · diff
v1.0.02026-03-04 848caee 8,478 BF view · diff
v1.0.02026-03-01 969f335 8,473 BF view · diff
v1.0.02026-02-16 30e409a 8,475 BF 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 (5366 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_qngikss5gzdgbwkx
GET https://markdownregistry.com/api/v1/resolve?ref=jnpiyush/agentx/prompt-engineering
GET https://markdownregistry.com/api/v1/blob/f49f4206f11728659c22e6e27b4a78f79145455723a193b7cb7a6a1b8a32a8e4

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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