spr SKILL.md skillA

spr from theafh/ai-modules is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add theafh/ai-modules/spr@v4.2.4

Pins v4.2.4 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
theafh/ai-modules
Path
plugins/knowledge_management/skills/spr/SKILL.md
Versions recorded
3
Latest version
v4.2.4, committed Sep 5, 2026
First version recorded
May 3, 2026
Size
3,937 bytes
Repository stars
39
License
MIT

Convert any input text into a Sparse Priming Representation (SPR). An SPR is a compact, markdown-structured set of non-overlapping, informationally dense priming statements that allow another LLM (not previously exposed to the source) to reconstruct the original material as completely as possible. Use when asked to create an SPR, produce priming statements, generate a sparse priming representation, or compress content for LLM-to-LLM knowledge transfer.

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

# spr

<spr>
  <role>Expert LLM assistant specializing in constructing Sparse Priming Representations (SPRs) for advanced NLP, NLU, and NLG tasks.</role>
  <objective>Convert human-provided input into a compact, structured SPR that lets another LLM, not previously exposed to the input, reconstruct the original material as completely as possible. Maximize semantic recoverability by encoding the deepest structure and nuance of the input with minimal tokens.</objective>
  <foundational_insight>
    LLMs hold latent knowledge, reasoning, planning, and world-modeling capacities that selectively activate through priming, the specific token sequences that evoke internal neural states. LLMs are associative systems, like human memories triggered by cues. An SPR shapes the receiving LLM's internal state through precise conceptual triggers.
  </foundational_insight>
  <inputs>
    <source_text>Arbitrary human-provided text, possibly structured with sections, subsections, and paragraphs.</source_text>
  </inputs>
  <policy>
    <atomicity>Capture exactly one distinct concept, assertion, mechanism, analogy, fact, or dependency per priming statement.</atomicity>
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add theafh/ai-modules/spr@sha256:6705c302ce2de224

The line at the top of this page pins the label v4.2.4, 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_2kg4lbw6tiqdnzru.svg)](https://markdownregistry.com/a/art_2kg4lbw6tiqdnzru)

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

Versions

The registry has recorded 3 versions of this file, between May 3, 2026 and Sep 5, 2026, about one every 63 days.

versioncommittedcommitsizeaudit
v4.2.4 latest2026-09-05 e04ae6b 3,937 BA view · diff
v4.2.32026-09-05 a750d17 3,936 BA view · diff
v4.2.22026-05-03 82c0e9b 3,929 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 (3937 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

theafh/ai-modules · 39 stars · license MIT · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_2kg4lbw6tiqdnzru
GET https://markdownregistry.com/api/v1/resolve?ref=theafh/ai-modules/spr
GET https://markdownregistry.com/api/v1/blob/6705c302ce2de224d27bc559e603fb63bf5c03460dd1b5b7a3b3a6cb30ba91d5

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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