← Back to Skills Marketplace
desmondforward

Seven-Step Rigor

by Anthony Young · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
20
Downloads
1
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install seven-step-rigor
Description
Enforces a strict seven-step improvement process: clarify goals, delete unnecessary parts, simplify, speed up cycles, automate stable tasks, prefer end testi...
README (SKILL.md)

Seven Step Rigor

Use this skill to keep improvement work in the right order. Do not jump to speed, automation, or extra checks before proving the thing should exist and is shaped correctly.

Operating rule

Follow these stages in order:

  1. Make the requirements less dumb.
  2. Delete the part or process.
  3. Simplify or optimize only what survives.
  4. Accelerate cycle time.
  5. Automate.
  6. Prefer end-process testing when possible.
  7. Keep the human briefed, briefly.

If the task is small, compress the write-up, but keep the ordering.

Required working format

For substantial work, structure thinking and execution around these fields:

  • Outcome: what success changes in the world
  • Constraints: safety, scope, compatibility, reversibility, and time limits
  • Success test: the smallest clear check that proves the job worked
  • Deletion candidates: what can be removed entirely
  • Survivors to simplify: what remains after deletion
  • Cycle-time move: the feedback-loop improvement worth making
  • Automation decision: what, if anything, is stable enough to automate
  • Test-placement decision: why end-process checks are enough, or why an in-process guard must stay
  • Checkpoint: what changed, why, evidence, next risk

Stage instructions

1) Make the requirements less dumb

Rewrite the ask as outcome, constraints, and success test.

Challenge:

  • inherited assumptions
  • decorative requirements
  • legacy habits
  • work that exists only because "that is how it is done"

Ask at most one high-information question when a wrong assumption would be costly. Otherwise make the safest reasonable assumption and proceed.

2) Delete the part or process

Attempt subtraction before improvement.

Look for removable:

  • steps
  • prompts
  • branches
  • handoffs
  • tests
  • approvals
  • wrappers
  • dependencies
  • duplicate status updates

Keep a short note of what was deleted and why. Apply deletion pressure hard enough that some things occasionally need to be restored later.

3) Simplify or optimize only what survives

Only now simplify structure, wording, state, interfaces, or dependencies.

Prefer:

  • fewer branches
  • fewer moving parts
  • fewer state transitions
  • tighter prompts
  • simpler interfaces
  • convergent logic over special cases

Do not optimize anything whose existence is still in doubt.

4) Accelerate cycle time

After the shape is right, shorten feedback loops.

Prefer:

  • smaller batches
  • earlier proof of correctness
  • the smallest meaningful verification gate
  • faster local checks before heavier validation

Speed is useful only after direction is credible.

5) Automate

Automate only stable, repetitive, well-understood work.

Automation must be:

  • reversible
  • inspectable
  • scoped to a proven need

Do not automate ambiguity, churn, or waste.

6) Prefer end-process testing when possible

Default to the latest reliable test that catches the real failure.

Remove in-process checks that only add latency unless they prevent:

  • expensive damage
  • safety issues
  • materially faster diagnosis

Every test or gate must earn its cost.

7) Keep the human briefed, briefly

Send concise checkpoints with:

  • what changed
  • why
  • evidence
  • next risk

Avoid narration spam. One solid update beats many fragments.

Default execution checklist

Use this checklist for substantial work:

  • requirement rewrite
  • deletion candidates
  • simplification decision
  • cycle-time decision
  • automation decision
  • test-placement decision
  • brief checkpoint with verification

Quality bar

A good result from this skill usually shows these traits:

  • at least one assumption was challenged or removed
  • deletion was considered before optimization
  • automation was deferred unless stability was demonstrated
  • verification matched the real failure mode
  • the final update was brief but evidence-backed
Usage Guidance
This skill appears safe to install as a procedural aid. When using it on important systems, review any suggested deletions, simplifications, or automation before applying them, but the artifacts do not show suspicious behavior.
Capability Analysis
Type: OpenClaw Skill Name: seven-step-rigor Version: 1.0.0 The skill bundle defines a procedural framework for an AI agent to follow when performing optimization or refactoring tasks. The instructions in SKILL.md focus on lean engineering principles—such as challenging assumptions, deleting unnecessary components, and ensuring automation is stable and reversible—while explicitly requiring the agent to consider safety, scope, and human briefing. No malicious code, data exfiltration attempts, or harmful prompt-injection patterns were identified.
Capability Assessment
Purpose & Capability
The stated purpose and SKILL.md content align around a seven-step improvement workflow; no runtime capabilities are requested.
Instruction Scope
The instructions guide ordering of analysis and include safety, scope, reversibility, and verification considerations; they do not show tool forcing, hidden authority, or goal redirection outside the skill purpose.
Install Mechanism
No install specification, code files, required binaries, environment variables, or credentials are present.
Credentials
The skill does not request filesystem, network, account, shell, or device access.
Persistence & Privilege
No persistence, background execution, privileged access, memory storage, or credential use is described.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install seven-step-rigor
  3. After installation, invoke the skill by name or use /seven-step-rigor
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release with stronger trigger metadata for improvement, redesign, refactor, and automation sequencing work.
v1.0.0
Initial release of seven-step-rigor skill. - Enforces a strict seven-step sequence for all improvement work: clarify requirements, delete, simplify, accelerate, automate, validate, and summarize. - Provides clear guidance and checklists for each stage, ensuring deletion and simplification are prioritized before automation or optimization. - Includes structured formats for outcome, constraints, success tests, and checkpoints. - Optimized for workflows involving process improvements, refactoring, automation, or rethinking operations. - Encourages brief, evidence-backed human updates and evidence-based decisions at every stage.
Metadata
Slug seven-step-rigor
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Seven-Step Rigor?

Enforces a strict seven-step improvement process: clarify goals, delete unnecessary parts, simplify, speed up cycles, automate stable tasks, prefer end testi... It is an AI Agent Skill for Claude Code / OpenClaw, with 20 downloads so far.

How do I install Seven-Step Rigor?

Run "/install seven-step-rigor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Seven-Step Rigor free?

Yes, Seven-Step Rigor is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Seven-Step Rigor support?

Seven-Step Rigor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Seven-Step Rigor?

It is built and maintained by Anthony Young (@desmondforward); the current version is v1.0.0.

💬 Comments