implementation

A skill for carrying out an already approved software proposal. It assigns implementation work to sub-agents and checks the result against the original problem.

In plain words
What is it for?
Use it after planning is approved to implement changes across different parts of a project and verify them.
Why use it?
It separates building from deciding what to build, so coding starts only after the direction has been agreed.

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/vincenthopf/my-claude-code/implementation
Any agent
npx skills add vincenthopf/My-Claude-Code --skill implementation
Clone the repo
git clone --depth 1 https://github.com/vincenthopf/My-Claude-Code

Made for: Claude Code, Codex.

Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,107 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin fork From a forked repository.
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 $0.00049 $0.02107
Opus 5 $0.00024 $0.01053
Sonnet 5 $0.00010 $0.00421
Haiku 4.5 $0.00005 $0.00211

Measured 2d ago against content hash 6bbeed39aece, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 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.

workflow/skills/implementation/SKILL.md · 198 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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 First seen · 198 lines · 49 tokens per session scan A 6bbeed39aece

Subscribe to this mod's changes

implementation is a skill published in the GitHub repository vincenthopf/My-Claude-Code (135 stars, last pushed 5mo ago), with no licence file. It adds 49 tokens to every session and 2,107 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It comes from a forked repository.

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