incremental-implementation

incremental-implementation is a skill for Claude Code, Codex from chankov/agent-fleet. It costs 52 tokens per session (2,851 once invoked), scanned A, original, MIT.

A method for building changes in small working slices, testing and checking each slice before continuing. It includes a review point after every increment.

In plain words
What is it for?
Use it for multi-file features, refactoring, task breakdowns, or any change that would otherwise involve writing a large amount of code at once.
Why use it?
It makes large or multi-file changes easier to understand and correct before problems spread. Each step remains testable instead of leaving one large unverified change.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: names the AskUserQuestion tool.

Good fit Use it for multi-file features, refactoring, task breakdowns, or any change that would otherwise involve writing a large amount of code at once.

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Install with agentmods
npx agentmods add skills/chankov/agent-fleet/incremental-implementation
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 chankov/agent-fleet --skill incremental-implementation
Clone the repo
git clone --depth 1 https://github.com/chankov/agent-fleet

Made for: Claude Code, Codex.

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-implementation

README.md
[![agentmods](https://agentmods.dev/badge/skills/chankov/agent-fleet/incremental-implementation/github.svg)](https://agentmods.dev/skills/chankov/agent-fleet/incremental-implementation)
Your own site
<a href="https://agentmods.dev/skills/chankov/agent-fleet/incremental-implementation"><img src="https://agentmods.dev/badge/skills/chankov/agent-fleet/incremental-implementation/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for incremental-implementation

Your own site · 80×15
<a href="https://agentmods.dev/skills/chankov/agent-fleet/incremental-implementation"><img src="https://agentmods.dev/badge/skills/chankov/agent-fleet/incremental-implementation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,851 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 238
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
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 $0.00052 $0.02851
Opus 5.5 $0.00021 $0.01140
Sonnet 5.5 $0.00010 $0.00570
Haiku 4.5 $0.00005 $0.00285

Measured 1mo ago against content hash 906c10408f97, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo 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.

.versions/0.0.1/skills/incremental-implementation/SKILL.md · 288 lines

How it starts

The opening of the file, as written. The whole thing — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Incremental Implementation

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.

Each increment ends at a user review gate, not an auto-commit. The agent presents a standard summary and waits for explicit approval before starting the next slice. Staging and committing are the user's responsibility — the agent never runs git add or git commit on its own.

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 ─→ Request Review    │
│      ▲                               │            │
│      │                               ▼            │
│   Revise ◄── (changes requested) ── Gate          │
│                                      │            │
│                        (approved) ───┘            │
│                                      ▼            │
│                                  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. Request review — present the Standard Slice Summary (below) and ask the user to confirm before moving to the next slice. Use the AskUserQuestion tool if available; otherwise ask in chat and wait for explicit confirmation. Do not stage or commit — the user handles git operations manually after approval. See git-workflow-and-versioning for the atomic-commit guidance the user should follow when committing approved slices.
  5. Move to the next slice only after explicit approval — carry forward, don't restart

Read the full file on GitHub · 288 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. 1mo ago First seen · 288 lines · 52 tokens per session scan A 906c10408f97

Subscribe to this mod's changes

incremental-implementation is a skill published in the GitHub repository chankov/agent-fleet (19 stars, last pushed yesterday), licensed MIT. It adds 52 tokens to every session and 2,851 once invoked, about $0.0002 per session on Opus 5.5. 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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