autonomous-design-refinement SKILL.md skillA
autonomous-design-refinement from ensodynamics/enso-method is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ensodynamics/enso-method/autonomous-design-refinement@git:20261027.b46e48dPins git:20261027.b46e48d in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ensodynamics/enso-method
- Path
skills/autonomous-design-refinement/SKILL.md- Versions recorded
- 6
- Latest version
- git:20261027.b46e48d, committed Oct 27, 2026
- First version recorded
- Oct 14, 2026
- Size
- 42,375 bytes
- Repository stars
- 6
- License
- MIT
Multi-pass workflow that refines PRD, Technical Design, and Assumptions documents to implementation-ready state, run after review-technical-design (and the user's own read of the design, when the user wants one) and before phase-split; the design-stage counterpart of autonomous-prd-refinement, which refines a draft PRD before any design exists — small ranked batches, each answer folded into the documents as soon as it is known, progress checkpointed to an on-disk state file so an interrupted…
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
# Autonomous Design Refinement Multi-pass workflow that refines requirements documents (PRD, technical design, assumptions, and any supporting materials they reference) to implementation-ready state. Each pass runs `implementation-readiness-check` for a small, ranked batch of questions, investigates them one at a time, folds each answer into the documents the moment it is known, and records progress in a state file on disk — so an interrupted run loses at most the questions in flight (three or fewer) and resumes from where it stopped. The name says which stage it serves. `autonomous-prd-refinement` refines a draft PRD on its own, before any design exists; this skill runs once the technical design exists and refines the PRD, design and assumptions together. --- ## What Is This Skill? This skill automates the loop humans do manually: run a readiness check, get questions, investigate them, update the requirements documents, check again, find the new questions the updates exposed, and repeat until the documents are solid enough to implement against. …
Read the whole file at its exact version.
How to install
mdr add ensodynamics/enso-method/autonomous-design-refinement@sha256:e4097f1689a5c164The line at the top of this page pins the label git:20261027.b46e48d, 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.
[](https://markdownregistry.com/a/art_nit6gnbufimuv5o6)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Oct 14, 2026 and Oct 27, 2026, about one every 3 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261027.b46e48d latest | 2026-10-27 | b46e48d | 42,375 B | A | view · diff |
| git:20261023.3fcf75c | 2026-10-23 | 3fcf75c | 42,033 B | A | view · diff |
| git:20261023.bb10f2d | 2026-10-23 | bb10f2d | 41,580 B | A | view · diff |
| git:20261021.288f2bc | 2026-10-21 | 288f2bc | 41,544 B | A | view · diff |
| git:20261018.9c89f88 | 2026-10-18 | 9c89f88 | 41,255 B | A | view · diff |
| git:20261014.c5a60b8 | 2026-10-14 | c5a60b8 | 41,208 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (42375 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
ensodynamics/enso-method · 6 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_nit6gnbufimuv5o6 GET https://markdownregistry.com/api/v1/resolve?ref=ensodynamics/enso-method/autonomous-design-refinement GET https://markdownregistry.com/api/v1/blob/e4097f1689a5c164cc019ed6820adf094ba8627d94ca805e4d799d4577c65be0
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.