implement_direct

implement_direct is a skill for Claude Code from MarcusJellinghaus/mcp-tools-py. It costs 8 tokens per session (709 once invoked), scanned A, a copy of implement-direct, MIT.

A procedure for implementing a small, clearly defined coding issue directly, without a separate planning phase.

In plain words
What is it for?
Use it when an issue number identifies the work and the task requires checking out its branch, reading the relevant code, implementing the fix, and running lint and tests.
Why use it?
It keeps straightforward fixes focused by resolving the issue, changing only the needed code, and running the specified quality checks.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it when an issue number identifies the work and the task requires checking out its branch, reading the relevant code, implementing the fix, and running lint and tests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/marcusjellinghaus/mcp-tools-py/implement_direct
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 MarcusJellinghaus/mcp-tools-py --skill implement_direct
Clone the repo
git clone --depth 1 https://github.com/MarcusJellinghaus/mcp-tools-py

Made for: Claude Code.

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_direct

README.md
[![agentmods](https://agentmods.dev/badge/skills/marcusjellinghaus/mcp-tools-py/implement_direct/github.svg)](https://agentmods.dev/skills/marcusjellinghaus/mcp-tools-py/implement_direct)
Your own site
<a href="https://agentmods.dev/skills/marcusjellinghaus/mcp-tools-py/implement_direct"><img src="https://agentmods.dev/badge/skills/marcusjellinghaus/mcp-tools-py/implement_direct/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 implement_direct

Your own site · 80×15
<a href="https://agentmods.dev/skills/marcusjellinghaus/mcp-tools-py/implement_direct"><img src="https://agentmods.dev/badge/skills/marcusjellinghaus/mcp-tools-py/implement_direct.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 8 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 709 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.
Origin 86% copy Near-identical to another mod 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 $0.00008 $0.00709
Opus 5.5 $0.00003 $0.00284
Sonnet 5.5 $0.00002 $0.00142
Haiku 4.5 $0.00001 $0.00071

Measured 1mo ago against content hash f21e8ae3fac9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

implement_direct 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.

Origin

This is a copy

86% identical to implement-direct — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/implement_direct/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implement Direct

Implement a small, well-defined issue directly — no planning phase, no task tracker.

Resolve Issue Number

The user may provide an issue number as the argument (available as $ARGUMENTS). If no issue number is provided:

  1. Read .vscodeclaude_status.txt and extract the issue number from the Issue #NNN line
  2. If the file doesn't exist or has no issue number, ask the user

Steps

  1. Fetch issue details Call mcp__mcp-workspace__github_issue_view with the issue number. Read the issue title, description, and acceptance criteria carefully.

  2. Checkout/create issue branch

    mcp-coder gh-tool checkout-issue-branch <issue_number>
    
  3. Understand context

    • Read relevant source files referenced in the issue
    • Understand the existing code patterns and conventions
    • Identify the minimal set of changes needed
  4. Implement changes

    • Make the required code changes directly
    • Follow existing code patterns and conventions
    • Keep changes focused and minimal — only what the issue requires
  5. Run quality checks

    • mcp__mcp-tools-py__run_pylint_check — fix all issues
    • mcp__mcp-tools-py__run_pytest_check (with extra_args: ["-n", "auto"]) — fix all failures
    • mcp__mcp-tools-py__run_mypy_check — fix all issues
    • mcp__mcp-tools-py__run_ruff_check — fix all issues
  6. Format code Use mcp__mcp-tools-py__run_format_code to format all code (black + isort).

  7. Update issue status

    mcp-coder gh-tool set-status status-07:code-review
    
  8. Suggest follow-up steps

    • /commit_push — commit and push changes
    • /check_branch_status — verify branch is clean
    • /implementation_review — request a review of the implementation

Scope Guidance

This skill is designed for small, well-defined issues that can be implemented in a single pass. If the issue is complex or involves multiple components, recommend the full workflow instead:

  1. /create_plan — create a detailed implementation plan
  2. /implement — implement the plan step by step

Read the full file on GitHub · 75 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 · 75 lines · 8 tokens per session scan A f21e8ae3fac9

Subscribe to this mod's changes

implement_direct is a skill published in the GitHub repository MarcusJellinghaus/mcp-tools-py (19 stars, last pushed 8d ago), licensed MIT. It adds 8 tokens to every session and 709 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to implement-direct, differing in 7 lines, and is treated as a copy.

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