incremental-implementation

A working method for delivering a change in small, testable pieces. It means implementing one thin part, testing it, and checking that it works before adding the next part.

In plain words
What is it for?
Use it for features, refactors, or other changes that affect multiple files or would otherwise require writing a large amount of code at once.
Why use it?
It reduces the risk of large changes becoming difficult to debug or review, while keeping the project working throughout the implementation.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/codoop/codoop-flow/incremental-implementation
Any agent
npx skills add Codoop/codoop-flow --skill incremental-implementation
Clone the repo
git clone --depth 1 https://github.com/Codoop/codoop-flow

Made for: Claude Code, Codex.

Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,100 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00052 $0.02100
Opus 5 $0.00026 $0.01050
Sonnet 5 $0.00010 $0.00420
Haiku 4.5 $0.00005 $0.00210

Measured yesterday against content hash 47e5c03df06d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

incremental-implementation 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 yesterday.

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-implementation/SKILL.md · 260 lines

How it starts

The opening of the file, as written. The whole thing — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Incremental Implementation

Conversation Profile

When codoop_flow.toml is available, read user_role; a missing value means general. It applies only to this conversation: use normal professional terms inside the user's field, and explain cross-field topics in plain language. The user may override it for the current conversation by asking for simpler or more professional language. Never apply the profile to code, PRD, Spec, Plan, Todo, reports, agent prompts, or other generated files; those stay precise and professional.

Overview

Build in thin vertical slices — implement one piece, test it, verify it, then expand. Avoid implementing an entire feature in one pass. Each increment should leave the system in a working, testable state. This is the execution discipline that makes large features manageable.

When to Use

  • Implementing any multi-file change
  • Building a new feature from a task breakdown
  • Refactoring existing code
  • Any time you're tempted to write more than ~100 lines before testing

When NOT to use: Single-file, single-function changes where the scope is already minimal.

The Increment Cycle

┌──────────────────────────────────────┐
│                                      │
│   Implement ──→ Test ──→ Verify ──┐  │
│       ▲                           │  │
│       └───── Commit ◄─────────────┘  │
│              │                       │
│              ▼                       │
│          Next slice                  │
│                                      │
└──────────────────────────────────────┘

For each slice:

  1. Implement the smallest complete piece of functionality
  2. Test — run the test suite (or write a test if none exists)
  3. Verify — confirm the slice works as expected (tests pass, build succeeds, manual check)
  4. Commit -- save your progress with a descriptive message (see git-workflow-and-versioning for atomic commit guidance)
  5. Move to the next slice — carry forward, don't restart

Slicing Strategies

Read the full file on GitHub · 260 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. yesterday First seen · 260 lines · 52 tokens per session scan A 47e5c03df06d

Subscribe to this mod's changes

incremental-implementation is a skill published in the GitHub repository Codoop/codoop-flow (5 stars, last pushed 8d ago), licensed MIT. It adds 52 tokens to every session and 2,100 once invoked, about $0.0003 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 2026-08-31.

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