implement

implement is a skill for Claude Code, Codex from tobihagemann/turbo. It costs 69 tokens per session (998 once invoked), scanned A, original, MIT.

A general workflow for making an ad-hoc code change. It loads relevant coding rules, applies the requested change, and performs checks afterward.

In plain words
What is it for?
Use it to prepare a task, load applicable style and task-specific guidance, implement the change, run verification, and perform additional checks for interface changes.
Why use it?
It provides a consistent path for changes that are not already governed by a plan or improvement backlog.

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/tobihagemann/turbo/implement
Any agent
npx skills add tobihagemann/turbo --skill implement
Clone the repo
git clone --depth 1 https://github.com/tobihagemann/turbo

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 implement

README.md
[![agentmods](https://agentmods.dev/badge/skills/tobihagemann/turbo/implement.svg)](https://agentmods.dev/skills/tobihagemann/turbo/implement)
Your own site
<a href="https://agentmods.dev/skills/tobihagemann/turbo/implement"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/implement.svg" alt="Measured on agentmods" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 998 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 5.1 $0.00069 $0.00998
Opus 5 $0.00034 $0.00499
Sonnet 5 $0.00014 $0.00200
Haiku 4.5 $0.00007 $0.00100

Measured 2d ago against content hash ae130052d69f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

implement 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 2d 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.

claude/skills/implement/SKILL.md · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implement

Standard implementation flow: load style rules, make the change, run post-implementation QA.

Task Tracking

At the start, use TaskCreate to create a task for each step:

  1. Run /code-style skill
  2. Load task-specific skills
  3. Make the change
  4. Run verification
  5. Run /smoke-test skill for UI/UX changes
  6. Run /preview skill for UI/UX changes
  7. Post-implementation QA

Step 1: Run /code-style Skill

Run the /code-style skill to load existence, reuse, mirror, and symmetry rules before editing.

Step 2: Load Task-Specific Skills

Scan the work for types that match available skills, matching against the richest context available: a plan's Implementation Steps if a plan is in conversation context, otherwise the user request, a prior skill's task description, or an improvement entry. For each unambiguous match, run the skill via the Skill tool. For example, if the work includes "add a Drizzle migration" and a skill exists whose triggers reference Drizzle migrations, load it. If a work type has no matching skill trigger, do not load a generic skill.

If unsure, do not load.

Step 3: Make the Change

Apply the change described by the current context — the user request, a prior skill's task description, or an improvement entry. Keep the edit scoped to what the context describes.

When the fix changes how a value is constructed, grep for every other site that constructs it and fix the ones carrying the same defect; treat these siblings as part of the same change. If the scope balloons beyond what the context specified, stop and confirm scope before continuing.

Step 4: Run Verification

If a Verification section is in conversation context (e.g., from a plan file), execute the commands, smoke checks, or MCP tool invocations it specifies. If a check fails, run the /investigate skill. If a check is blocked by a dependency, unclear requirement, or environmental issue, use AskUserQuestion to surface the blocker and let the user choose how to proceed. If no Verification section is in context, skip this step.

Read the full file on GitHub · 68 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. 2d ago Changed ae130052d69f
  2. 5d ago First seen · 68 lines · 69 tokens per session scan A 7e0f904cd827

Subscribe to this mod's changes

implement is a skill published in the GitHub repository tobihagemann/turbo (402 stars, last pushed today), licensed MIT. It adds 69 tokens to every session and 998 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 2026-08-30.

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