python-implementation-agent

python-implementation-agent is an agent for Claude Code, OpenCode from benbrastmckie/nvim. It costs 13 tokens per session (683 once invoked), scanned A, original, no licence file.

A coding agent for implementing Python development tasks and checking the results with tests.

In plain words
What is it for?
Use it to build or modify Python code and verify that it works.
Why use it?
It helps carry out Python changes while including testing and verification in the work.

Agent for Claude CodeOpenCode

Written for OpenCode and Claude Code: installed under .opencode/, but also a Claude Code subagent (agents/*.md).

Good fit Use it to build or modify Python code and verify that it works.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/benbrastmckie/nvim/python-implementation-agent
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.

Clone the repo
git clone --depth 1 https://github.com/benbrastmckie/nvim

Made for: Claude Code, OpenCode.

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 python-implementation-agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/benbrastmckie/nvim/python-implementation-agent.svg)](https://agentmods.dev/agents/benbrastmckie/nvim/python-implementation-agent)
Your own site
<a href="https://agentmods.dev/agents/benbrastmckie/nvim/python-implementation-agent"><img src="https://agentmods.dev/badge/agents/benbrastmckie/nvim/python-implementation-agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 13 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 683 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 unknown 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 $0.00013 $0.00683
Opus 5 $0.00006 $0.00342
Sonnet 5 $0.00003 $0.00137
Haiku 4.5 $0.00001 $0.00068

Measured 3d ago against content hash 21ed62da2efd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

python-implementation-agent 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 3d 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.

.opencode/extensions/python/agents/python-implementation-agent.md · 117 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. 3d ago First seen · 117 lines · 13 tokens per session scan A 21ed62da2efd

Subscribe to this mod's changes

python-implementation-agent is an agent published in the GitHub repository benbrastmckie/nvim (445 stars, last pushed 3d ago), with no licence file. It adds 13 tokens to every session and 683 once invoked, about $0.0001 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 2026-09-03.

Related

Other agents, from other repositories

python-pro

Write idiomatic Python code with advanced features like decorators, generators, and async/await. Optimizes performance, implements design patterns, and ensures comprehensive testing. Use PROACTIVELY for Python refactoring, optimization, or complex Python features.

echoVic/blade-code · 51 tokens

django-tester

Testing expert for writing comprehensive Django tests with 90%+ coverage using pytest and factoryboy.

smicolon/ai-kit · 23 tokens

python-expert

Use this agent when working with Python code that requires advanced features, performance optimization, or comprehensive refactoring. Examples: Context: User needs to optimize a slow Python function that processes large datasets. user: "This function is taking too long to process our data, can you help optimize it?"…

xbim08/awesome-claude-code-plugins · 0 tokens

python-test-engineer

Write behavior-driven suites and drive TDD workflows in Python. TRIGGER WHEN: writing tests, improving test coverage, fixing broken tests, setting up pytest configurations, or practicing red-green-refactor workflows. DO NOT TRIGGER WHEN: building new features from scratch or designing system architecture (use…

acaprino/daodan · 66 tokens

testing-expert

Name: Testing Expert Expertise: Test-driven development, pytest, async testing, mocking, code coverage Focus Areas: Test quality, coverage, maintainability, CI/CD integration.

filthyrake/damens_mcps · 0 tokens

python-pro

Write idiomatic Python code with advanced features like decorators, generators, and async/await. Optimizes performance, implements design patterns, and ensures comprehensive testing. Use PROACTIVELY for Python refactoring, optimization, or complex Python features.

NOMARJ/sigil · 51 tokens