harness-engineering SKILL.md skillA

harness-engineering from habitat-thinking/ai-literacy-superpowers is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add habitat-thinking/ai-literacy-superpowers/harness-engineering@git:20260414.89199fe

Pins git:20260414.89199fe in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
habitat-thinking/ai-literacy-superpowers
Path
ai-literacy-superpowers/skills/harness-engineering/SKILL.md
Versions recorded
2
Latest version
git:20260414.89199fe, committed Apr 14, 2026
First version recorded
Apr 6, 2026
Size
5,791 bytes
Repository stars
121
License
a license file GitHub does not identify

This skill should be used when the user asks about "harness engineering", "what is a harness", "harness framework", "AI code quality", "context engineering", "architectural constraints", "garbage collection for code", or wants to understand the conceptual foundation behind the harness-engineering plugin.

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

# Harness Engineering

A harness is the combined set of deterministic tooling and LLM-based
agents that keeps AI code generation trustworthy and maintainable at
scale. The concept originates from Birgitta Boeckeler's article
"Harness Engineering" (2026), which identifies three components that
together form a complete harness.

For the full article summary and four hypotheses, consult
`references/boeckeler-summary.md`.

## The Three Components

### Context Engineering

The knowledge an LLM needs to work effectively in a codebase. This
includes explicit documentation (conventions, constraints, stack
declarations) and implicit context (the code design itself). A
well-structured codebase is easier to harness than a sprawling one
because the structure communicates intent.

In this plugin, context engineering lives in HARNESS.md's **Context**
section — stack declaration, convention documentation, and any
project-specific knowledge that shapes how code should be written.

### Architectural Constraints

Rules that must be enforced — not suggestions, but hard boundaries.
Each constraint is backed by a **verification slot** that can be filled
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add habitat-thinking/ai-literacy-superpowers/harness-engineering@sha256:12b5785979500e7f

The line at the top of this page pins the label git:20260414.89199fe, 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_b66huxv6ywujga4y.svg)](https://markdownregistry.com/a/art_b66huxv6ywujga4y)

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

Versions

The registry has recorded 2 versions of this file, between Apr 6, 2026 and Apr 14, 2026, about one every 8 days.

versioncommittedcommitsizeaudit
git:20260414.89199fe latest2026-04-14 89199fe 5,791 BA view · diff
git:20260406.60a61ca2026-04-06 60a61ca 4,249 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 (5791 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

habitat-thinking/ai-literacy-superpowers · 121 stars · license a license file GitHub does not identify · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_b66huxv6ywujga4y
GET https://markdownregistry.com/api/v1/resolve?ref=habitat-thinking/ai-literacy-superpowers/harness-engineering
GET https://markdownregistry.com/api/v1/blob/12b5785979500e7f564614de10e234392c76807e0f2ee463e3b6c442d0a56a33

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 habitat-thinking/ai-literacy-superpowers

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