accountable-engineering SKILL.md skillA

accountable-engineering from jellydn/my-ai-tools is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jellydn/my-ai-tools/accountable-engineering@git:20260913.e2e25be

Pins git:20260913.e2e25be in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jellydn/my-ai-tools
Path
skills/accountable-engineering/SKILL.md
Versions recorded
5
Latest version
git:20260913.e2e25be, committed Sep 13, 2026
First version recorded
Aug 19, 2026
Size
5,177 bytes
Repository stars
128
License
MIT

Use explicit human checkpoints for architecture, security, rollout, or operational decisions.

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

# Accountable Engineering

Accountable engineering means using AI for leverage while keeping architectural, security, product, and operational
decisions understandable and human-owned. Follow this workflow for every non-trivial AI-assisted task. Apply each step
directly, loading a named companion skill only when its stated branch applies. This prevents cognitive surrender:
accepting generated decisions that nobody can independently explain.

## Workflow

### 1. Define behavior and constraints

Write the expected behavior, non-goals, security boundaries, performance expectations, and verification criteria before
editing code. Inspect repository evidence before asking questions. Ask only when different interpretations would change
behavior, scope, interfaces, security, or another material outcome.

**Complete when**: Each requested behavior has a checkable outcome, and every known constraint or non-goal is explicit.

### 2. Propose approach before implementation

Inspect the relevant code and propose the smallest approach that fits its existing boundaries. Include data flow,
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jellydn/my-ai-tools/accountable-engineering@sha256:741ed457553cc596

The line at the top of this page pins the label git:20260913.e2e25be, 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_purrx3lgfps5q5iz.svg)](https://markdownregistry.com/a/art_purrx3lgfps5q5iz)

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

Versions

The registry has recorded 5 versions of this file, between Aug 19, 2026 and Sep 13, 2026, about one every 6 days.

versioncommittedcommitsizeaudit
git:20260913.e2e25be latest2026-09-13 e2e25be 5,177 BA view · diff
git:20260825.7ffcd6d2026-08-25 7ffcd6d 5,270 BA view · diff
git:20260819.a5dce172026-08-19 a5dce17 4,804 BA view · diff
git:20260819.0c29d762026-08-19 0c29d76 7,612 BA view · diff
git:20260819.dff27bd2026-08-19 dff27bd 7,066 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 (5177 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

jellydn/my-ai-tools · 128 stars · license MIT · pushed 2026-11-09 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_purrx3lgfps5q5iz
GET https://markdownregistry.com/api/v1/resolve?ref=jellydn/my-ai-tools/accountable-engineering
GET https://markdownregistry.com/api/v1/blob/741ed457553cc596d0b6da2945eef1ebd726e9d71e70dd103f36d7e22a3716f7

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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Every file in jellydn/my-ai-tools

Other files named accountable-engineering

accountable-engineering SKILL.md skill
jellydn/my-ai-tools · configs/amp/plugins/my-ai-tools-skills/skills/accountable-engineering/SKILL.md · Use explicit human checkpoints for architecture, security, rollout, or operational decisions.
git:20260913.e2e25be · audit A · 128 stars

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