reverse-engineer-anything-self-learning-loop SKILL.md skillA

reverse-engineer-anything-self-learning-loop from speedrunlab/reverse-engineer-anything-self-learning-loop is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add speedrunlab/reverse-engineer-anything-self-learning-loop/reverse-engineer-anything-self-learning-loop@v1.0.1

Pins v1.0.1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
speedrunlab/reverse-engineer-anything-self-learning-loop
Path
SKILL.md
Versions recorded
3
Latest version
v1.0.1, committed Oct 25, 2026
First version recorded
Oct 23, 2026
Size
19,840 bytes
Repository stars
143
License
MIT

Reverse Engineer Anything with a Self-Learning Loop: examine software you are authorised to analyse, build your own working equivalent, then review it against the original with evidence, plan the gaps, improve, and repeat until a written definition of 100% is met, learning from every iteration so the next product starts further along. Use for: rebuilding a product whose source is lost, a compatible replacement for a tool you license, a port to a new platform, finishing a reconstruction that…

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

# Reverse Engineer Anything with a Self-Learning Loop

Most reconstructions stop at "80% there". The agent examines a shipped product,
builds something that looks right, and nobody ever wrote down what 100% means,
so nobody can say what is missing. This skill closes that gap with two loops:

- **The completion loop, inside one run:** define 100% in writing before
  building, build, review the build against the original with evidence, plan
  the gaps, improve, and repeat until every must-have passes twice in a row.
- **The self-learning loop, across runs:** after every iteration the agent
  reviews what it learned (a route, a check, a fix, a pitfall) and saves it
  into this skill, staged for the operator, so the next product starts further
  along and the same mistake is never made twice.

It carries what it needs from two Speedrun AI Labs skills: the examination
method of **Reverse Engineer Anything** and the learning loop of **Hermes Agent
as a Skill File**. Neither has to be installed; both go deeper when they are
(see **Companions**). It is **agent-agnostic**: it names behaviours, never a
particular tool, hook or path.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add speedrunlab/reverse-engineer-anything-self-learning-loop/reverse-engineer-anything-self-learning-loop@sha256:9a04075a36586e51

The line at the top of this page pins the label v1.0.1, 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_677ahnvc3pn7ro7z.svg)](https://markdownregistry.com/a/art_677ahnvc3pn7ro7z)

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

Versions

The registry has recorded 3 versions of this file, between Oct 23, 2026 and Oct 25, 2026, about one every day.

versioncommittedcommitsizeaudit
v1.0.1 latest2026-10-25 a0b4f1e 19,840 BA view · diff
v1.0.02026-10-25 211bffc 19,840 BA view · diff
v1.0.02026-10-23 7bfa282 19,673 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 (19840 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

speedrunlab/reverse-engineer-anything-self-learning-loop · 143 stars · license MIT · pushed 2026-10-25 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_677ahnvc3pn7ro7z
GET https://markdownregistry.com/api/v1/resolve?ref=speedrunlab/reverse-engineer-anything-self-learning-loop/reverse-engineer-anything-self-learning-loop
GET https://markdownregistry.com/api/v1/blob/9a04075a36586e5147f7cb1e43a2e75ab7405a7704f3327a6f7053b1484bb3be

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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