incremental-shipping

incremental-shipping is a skill for Claude Code from duthaho/claudekit. It costs 102 tokens per session (2,890 once invoked), scanned A, original, MIT.

A workflow for delivering a large feature, migration, or refactor as small, reversible changes. It uses vertical slices, meaning each increment runs through the relevant parts of the system, and feature flags, which can turn a change on or off.

In plain words
What is it for?
Use it for multi-step features, migrations that must run alongside existing behavior, risky production changes, and refactors that need tests or performance measurements.
Why use it?
It makes large changes easier to review and lets teams limit or undo a risky rollout. It also separates behavior-preserving refactors from feature work and requires evidence that behavior remains intact.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the claudekit plugin — 15 skills, 8 agents shipped together

Good fit Use it for multi-step features, migrations that must run alongside existing behavior, risky production changes, and refactors that need tests or performance measurements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/duthaho/claudekit/incremental-shipping
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add duthaho/claudekit --skill incremental-shipping
Clone the repo
git clone --depth 1 https://github.com/duthaho/claudekit

Made for: Claude Code.

Or install claudekit, the plugin that ships this one along with the rest of its 15 skills, 8 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for incremental-shipping

README.md
[![agentmods](https://agentmods.dev/badge/skills/duthaho/claudekit/incremental-shipping.svg)](https://agentmods.dev/skills/duthaho/claudekit/incremental-shipping)
Your own site
<a href="https://agentmods.dev/skills/duthaho/claudekit/incremental-shipping"><img src="https://agentmods.dev/badge/skills/duthaho/claudekit/incremental-shipping.svg" alt="Measured on agentmods" height="20"></a>
Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,890 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00102 $0.02890
Opus 5 $0.00051 $0.01445
Sonnet 5 $0.00020 $0.00578
Haiku 4.5 $0.00010 $0.00289

Measured 8d ago against content hash 1c1c66f99dde, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

incremental-shipping scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/incremental-shipping/SKILL.md · 206 lines

How it starts

The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Incremental Shipping

Overview

A workflow for landing large changes as small, reversible increments. The skill exists because the most common shipping failure isn't a missing test or a bad deploy — it's a 1500-line PR that bundles a feature, a refactor, and a config change, takes three days to review, and lands with a regression nobody isolated. Incremental shipping splits that into thin vertical slices behind feature flags, plus a refactor-with-evidence section for behavior-preserving changes that need their own discipline (test deltas, perf measurements). Used after write-plan and test-first, before code-review-loop.

When to Use

  • A feature plan has 5+ tasks and would otherwise ship as one PR
  • A migration must run alongside existing code for a transition period
  • A refactor changes structure but should preserve behavior; you need to prove it
  • A change is risky enough that you want a kill switch in production

When NOT to Use

  • The change is single-file and trivially reversible (git revert is enough)
  • The change has no observable surface (internal-only refactor of a single function called by tests)
  • An emergency hotfix where the cost of incrementality exceeds the cost of risk

Process

Step 1: Identify the vertical slice

Goal: Define the smallest change that delivers user-observable value (or preserves behavior, for refactors) and can ship on its own.

Inputs: A task or set of tasks from your plan.

Actions:

  1. Ask: what's the smallest version of this change that a user could see, an API consumer could call, or a test could exercise? Not "the smallest piece of code" — the smallest value-delivering slice.
  2. List what would be excluded from this slice: features, edges, polish. Excluded items become later slices.
  3. The slice should be implementable in 1-3 PRs of <300 lines each.

Output: A slice definition: Slice 1: <what's included>; out of slice: <what's deferred>.

Step 2: Add the feature flag

Read the full file on GitHub · 206 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 206 lines · 102 tokens per session scan A 1c1c66f99dde

Subscribe to this mod's changes

incremental-shipping is a skill published in the GitHub repository duthaho/claudekit (97 stars, last pushed 1mo ago), licensed MIT. It adds 102 tokens to every session and 2,890 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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