implementation-readiness-check SKILL.md skillA

implementation-readiness-check from ensodynamics/enso-method is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add ensodynamics/enso-method/implementation-readiness-check@git:20261021.288f2bc

Pins git:20261021.288f2bc 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/implementation-readiness-check/SKILL.md
Versions recorded
4
Latest version
git:20261021.288f2bc, committed Oct 21, 2026
First version recorded
Oct 6, 2026
Size
20,448 bytes
Repository stars
6
License
MIT

Pre-implementation validation gate — surface gaps and unclear assumptions before writing code, with proposed answers, confidence levels, and impact assessments.

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

# Implementation Readiness Check

Guidelines for validating understanding before writing code.

---

## What Is This Skill?

This skill is the **human-checkpoint validation gate**, for when the user explicitly wants to confirm answers before implementation begins. `autonomous-design-refinement` also runs it once per pass.

Its purpose: find gaps and unclear assumptions in the requirements before implementation begins. The AI identifies what's uncertain, proposes how it would handle each item (with a confidence level and impact assessment), and gives the human a chance to confirm or redirect. Implementation moves fast—this is the last chance to get aligned before assumptions become code.

Once this check is under way, no implementation begins until it is complete and acknowledged.

---

## When to Use

Run this skill **immediately before implementation** (before `phase-split` when the work will be split). Use it when the user explicitly asks for a human review checkpoint.

---

## Context to Review

Before proceeding, the AI should review all available materials related to the work being implemented, which may include:

- The PRD and/or technical design document for this feature
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add ensodynamics/enso-method/implementation-readiness-check@sha256:0f0ee6181299706f

The line at the top of this page pins the label git:20261021.288f2bc, 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_i7pqbfgj7cyzjc2y.svg)](https://markdownregistry.com/a/art_i7pqbfgj7cyzjc2y)

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

Versions

The registry has recorded 4 versions of this file, between Oct 6, 2026 and Oct 21, 2026, about one every 5 days.

versioncommittedcommitsizeaudit
git:20261021.288f2bc latest2026-10-21 288f2bc 20,448 BA view · diff
git:20261013.ce3c32b2026-10-13 ce3c32b 20,417 BA view · diff
git:20261008.813b23c2026-10-08 813b23c 20,429 BA view · diff
git:20261006.537f98b2026-10-06 537f98b 19,259 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 (20448 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

ensodynamics/enso-method · 6 stars · license MIT · pushed 2026-11-03 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_i7pqbfgj7cyzjc2y
GET https://markdownregistry.com/api/v1/resolve?ref=ensodynamics/enso-method/implementation-readiness-check
GET https://markdownregistry.com/api/v1/blob/0f0ee6181299706fc2bc6b47b2e3b05e184b2b2cff1307e6cb40acb5b6e6e492

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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