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prompt-engineering SKILL.md skillA

prompt-engineering from int2t05/engineering-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add int2t05/engineering-skills/prompt-engineering@git:20261015.f440cbb

Pins git:20261015.f440cbb in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: int2t05/engineering-skills
Path: skills/03-design/prompt-engineering/SKILL.md
Versions recorded: 4
Latest version: git:20261015.f440cbb, committed Oct 15, 2026
First version recorded: Aug 12, 2026
Size: 1,570 bytes
Repository stars: 3
License: MIT

Design and evaluate prompts or LLM workflows on representative tasks. Triggers on "prompt engineering", "提示词工程".

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

- Design and evaluate prompts or LLM workflows on representative tasks.

**Not for:** skill-authoring for skills; research for model comparisons.

## Steps

1. Define inputs, expected outcomes, trust boundaries, failure costs and representative cases.

2. Establish the existing baseline; add minimal instructions addressing observed gaps and verify current provider behavior.

3. Specify output validation and actual tool permissions, budgets and termination; prompt text alone is not a security boundary.

4. Run representative and adversarial cases; compare quality, latency and cost and report limitations.

**Output:** Suggested paths, subject to [human audit](../../../references/human-audit.md): `docs/design/PROMPT.md` for a maintained workflow.

## Verify

- Revisions have a stated baseline and rubric; invalid output and untrusted input are handled and unrun cases are explicit.

## References

- [engineering-principles.md](../../../references/engineering-principles.md) — shared decision boundaries, scope and verification.
- [human-audit.md](../../../references/human-audit.md) — document consent, readability and human review.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add int2t05/engineering-skills/prompt-engineering@sha256:3d1a1700cf5691ce

The line at the top of this page pins the label git:20261015.f440cbb, 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](https://markdownregistry.com/badge/art_xg3fswnz7whc5r2x.svg)](https://markdownregistry.com/a/art_xg3fswnz7whc5r2x)

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

Versions

The registry has recorded 4 versions of this file, between Aug 12, 2026 and Oct 15, 2026, about one every 21 days.

version	committed	commit	size	audit
git:20261015.f440cbb latest	2026-10-15	f440cbb	1,570 B	A	view · diff
git:20261008.3f25f14	2026-10-08	3f25f14	7,961 B	A	view · diff
git:20261008.a85674e	2026-10-08	a85674e	7,961 B	A	view · diff
git:20260812.d01ef61	2026-08-12	d01ef61	7,488 B	A	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 (1570 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

int2t05/engineering-skills · 3 stars · license MIT · pushed 2026-10-15 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_xg3fswnz7whc5r2x
GET https://markdownregistry.com/api/v1/resolve?ref=int2t05/engineering-skills/prompt-engineering
GET https://markdownregistry.com/api/v1/blob/3d1a1700cf5691cea5d672ef8d5497c26047c4436d1b390302c32f2c4a0ef2e1

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.