Claude Tools / Plugins / mach10

Plugins · leanandmean/mach10

mach10

Structured agentic development methodology - from issue analysis to merge

CLEARED_STATICclaude-onlyv1.33.0

Pipeline results

Coverage

CLEARED_STATIC

Tests run

7 / 8

Portability

Claude-only

Type

Plugins

Tests & results

What the pipeline checked

TestStateResult or reason
eligibilityranall eligibility checks passed
dedupranunique -- no near-duplicate found
clocran2197 code lines / 20 files
secretsranno secret patterns matched
egressranno egress patterns matched
injectionranno patterns matched (confidence: STANDARD)
required-fieldsranrequired fields present: name, version, description
behaviouraldeferredbehavioural assessment deferred (v1): 1 Python file(s)

What's inside

Components found

agents/feature-completeness-checker.md
componentmedium
commands/doc-review.md
componentlow
commands/issue-assessment.md
componentmedium
commands/issue-create.md
componentmedium
commands/issue-implement.md
componentmedium
commands/issue-plan-review.md
componentmedium
commands/issue-plan.md
componentmedium
commands/pr-ci-fix.md
componentlow
commands/pr-create.md
componentmedium
commands/pr-merge.md
componentmedium
commands/pr-pre-merge.md
componentmedium
commands/pr-review-fix.md
componentlow
commands/pr-review.md
componentmedium
commands/push.md
componentmedium
commands/test-audit.md
componentlow

Coverage

Not assessed

  • behavioural execution not run

README

From the repository

  


# Mach 10

A development methodology for agentic coding -- and a Claude Code plugin that implements it.

## What is Mach 10?

In agentic coding, the AI is not an autocomplete engine -- it is an active collaborator that writes code, reviews it, manages GitHub issues and PRs, runs tests, and documents its work. The human's role shifts from writing code to directing, aligning, and reviewing. You describe requirements, approve architectural decisions, and steer direction. The AI handles the searching, writing, testing, and bookkeeping.

This changes the failure mode. The bottleneck is no longer typing speed or syntax recall -- it is context management. LLM context windows are finite. A deep code review can consume most of the available context, leaving little room for implementation. Multi-session feature development requires persistent memory across sessions. And without a structured workflow, agentic coding produces inconsistent results: missed edge cases, orphaned TODOs, reviews that never converge.

Mach 10 is a methodology that addresses these constraints directly: fresh sessions for each step, GitHub as persistent memory, staged implementation, and iterative review-fix cycl

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