Home / athola / claude-night-market · plugins/imbue/skills/latent-space-engineering/SKILL.md · GitHub

latent-space-engineering skillA

latent-space-engineering is agent-read markdown (skill) from athola/claude-night-market: Shapes agent behavior via instruction framing and style transfer. Use when composing dispatch prompts or writing skill instructions for parallel review agents..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Latent Space Engineering

Shape agent behavior by framing instructions for
optimal performance. Distinct from context engineering
(packing the right information), this skill addresses
HOW instructions are framed to put agents in productive
mental states.

## When To Use

- Composing agent dispatch prompts
- Writing skill instructions that guide behavior
- Dispatching 3+ parallel review agents
- Generating code or documentation that must match
  an existing style

## When NOT To Use

- Packing factual context (use context-optimization)
- Simple single-shot tasks with no behavioral nuance
- Tasks where instruction tone is irrelevant

## Core Techniques

### 1. Emotional Framing

Replace threat-based prompting with calm, confident
instructions. Fear-based prompts cause rushing and
corner-cutting.

**Load module**: `modules/emotional-framing.md`

### 2. Style Gene Transfer

Inject exemplar code or prose into context before
requesting output. Agents reproduce stylistic
attributes from pre-loaded samples.

**Load module**: `modules/style-gene-transfer.md`

### 3. Competitive Review

Frame multi-agent review dispatch with competitive
incentives to increase rigor and thoroughness.
…

Read the whole file at its exact version.

How to install

Latest version
mdr add athola/claude-night-market/latent-space-engineering@git:20260814.4430351
Exact content
mdr add athola/claude-night-market/latent-space-engineering@sha256:f980b066602a4766

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

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Versions

versioncommittedcommitsizeaudit
git:20260814.4430351 latest2026-08-14 4430351 3,630 BA view · diff
git:20260813.38fd34d2026-08-13 38fd34d 3,085 BA view · diff
git:20260622.c7c8f6f2026-06-22 c7c8f6f 2,769 BA view · diff
git:20260521.6f5c7d92026-05-21 6f5c7d9 2,116 BA view · diff
git:20260508.c09f1472026-05-08 c09f147 2,043 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, 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 (3630 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

athola/claude-night-market · 338 stars · license MIT · pushed 2026-09-22 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_euww3inyyjzisor7
GET https://markdownregistry.com/api/v1/resolve?ref=athola/claude-night-market/latent-space-engineering
GET https://markdownregistry.com/api/v1/blob/f980b066602a4766c4f64fdf63d6efd2c17f927ddcb5e415bd9dd95de0429f11

Your agent 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.

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