executing-plans SKILL.md skillA

executing-plans from arcanada-one/datarim is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add arcanada-one/datarim/executing-plans@git:20261004.8dfccd1

Pins git:20261004.8dfccd1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
arcanada-one/datarim
Path
skills/executing-plans/SKILL.md
Versions recorded
1
Latest version
git:20261004.8dfccd1, committed Oct 4, 2026
Size
2,817 bytes
Repository stars
16
License
MIT

Use when you have a written implementation plan to execute in a separate session with review checkpoints.

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

# Executing Plans

## Overview

Load plan, review critically, execute all tasks, report when complete.

**Announce at start:** "I'm using the executing-plans skill to implement this plan."

**Note on parallelism:** This skill works well in single-session execution. If your runtime supports spawning isolated agents (subagents) for parallel or two-stage review work, prefer `subagent-driven-development` instead — quality of structured execution rises significantly when independent agents handle implementation and review separately.

## The Process

### Step 1: Load and Review Plan
1. Read plan file
2. Review critically — identify any questions or concerns about the plan
3. If concerns: raise them with your human partner before starting
4. If no concerns: enumerate the plan's tasks as a working checklist (one entry per task with explicit `[ ]` / `[~]` / `[✓]` status) and proceed

### Step 2: Execute Tasks

For each task:
1. Mark as `[~]` in_progress in your checklist; surface this status in your reply so the human partner can see what you are working on
2. Follow each step exactly (plan has bite-sized steps)
3. Run verifications as specified
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add arcanada-one/datarim/executing-plans@sha256:1475fa211ecbfbb6

The line at the top of this page pins the label git:20261004.8dfccd1, 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_reefmqn63fg4k6cf.svg)](https://markdownregistry.com/a/art_reefmqn63fg4k6cf)

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

Versions

The registry has recorded 1 version of this file, committed on Oct 4, 2026.

versioncommittedcommitsizeaudit
git:20261004.8dfccd1 latest2026-10-04 8dfccd1 2,817 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 (2817 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

arcanada-one/datarim · 16 stars · license MIT · pushed 2026-10-29 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_reefmqn63fg4k6cf
GET https://markdownregistry.com/api/v1/resolve?ref=arcanada-one/datarim/executing-plans
GET https://markdownregistry.com/api/v1/blob/1475fa211ecbfbb67e38f349aabe737edb4da066fb67f36a1a3b06407a9631d9

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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