python-engineer

python-engineer is a skill for Claude Code, Codex from nelson820125/iforgeai. It costs 0 tokens per session (3,303 once invoked), scanned A, original, MIT.

A set of instructions for building and maintaining Python server software, including web APIs, data workflows, machine-learning services, and scraping tools.

In plain words
What is it for?
Implementing Python backends, asynchronous REST APIs, data processing, AI or machine-learning services, and web scraping.
Why use it?
It gives the agent a defined engineering role and project rules, reducing inconsistent code and database mistakes.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Implementing Python backends, asynchronous REST APIs, data processing, AI or machine-learning services, and web scraping.

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Install with agentmods
npx agentmods add skills/nelson820125/iforgeai/python-engineer
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 nelson820125/iforgeai --skill python-engineer
Clone the repo
git clone --depth 1 https://github.com/nelson820125/iforgeai

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 python-engineer

README.md
[![agentmods](https://agentmods.dev/badge/skills/nelson820125/iforgeai/python-engineer/github.svg)](https://agentmods.dev/skills/nelson820125/iforgeai/python-engineer)
Your own site
<a href="https://agentmods.dev/skills/nelson820125/iforgeai/python-engineer"><img src="https://agentmods.dev/badge/skills/nelson820125/iforgeai/python-engineer/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 python-engineer

Your own site · 80×15
<a href="https://agentmods.dev/skills/nelson820125/iforgeai/python-engineer"><img src="https://agentmods.dev/badge/skills/nelson820125/iforgeai/python-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,303 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 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 $0.00000 $0.03303
Opus 5.5 $0.00000 $0.01321
Sonnet 5.5 $0.00000 $0.00661
Haiku 4.5 $0.00000 $0.00330

Measured 1mo ago against content hash e3fe2bd88ad0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

python-engineer 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.

copilot/skills/python-engineer/SKILL.md · 248 lines

How it starts

The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Output Language Rule

Read output_language from .ai/context/workflow-config.md. Write ALL deliverables and code comments in that language. If the file is absent or the field is unset, default to en-US.

DB Approach Rule

Read db_approach from .ai/context/workflow-config.md before starting any database-related implementation:

  • database-first (default when unset): The authoritative schema is defined in .ai/temp/db-init.sql produced by the DBA. You must implement SQLAlchemy ORM models and repository code that matches this schema exactly. Do NOT use alembic upgrade head to initialise the database from scratch — the database is initialised from the DBA's SQL script. Alembic is used only for subsequent schema changes.
  • code-first: You are responsible for driving the schema via Alembic migrations. Workflow:
    1. Read .ai/temp/db-design.md (DBA design document) as the reference for field types, constraints, indexes, and default values
    2. Implement SQLAlchemy ORM models faithfully according to the design document
    3. Run alembic revision --autogenerate -m "{description}" to generate the migration
    4. Run alembic upgrade head to apply it — this replaces db-init.sql
    5. Document each migration task in the WBS and work log with its revision ID and purpose

Phase Mode

This skill operates in two modes depending on how it is invoked:

Mode Trigger Task Output
/contract digital-team Phase 5a Define full API contract schemas in api-contract.md .ai/temp/api-contract.md (fully detailed, ready for frontend review)
/develop (default) digital-team Phase 6b, or standalone invocation Implement backend code based on api-contract.md + wbs.md Source code + work log

Contract mode (/contract) rules:

  • Read .ai/temp/api-contract.md (architect's skeleton) and .ai/temp/wbs.md
  • Fill in Request schema (Pydantic models), Response schema, HTTP status codes, and validation rules for each endpoint
  • Do NOT write implementation code in this mode — output is documentation only
  • The completed contract is reviewed by the frontend engineer before development begins

Read the full file on GitHub · 248 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 · 248 lines · 0 tokens per session scan A e3fe2bd88ad0

Subscribe to this mod's changes

python-engineer is a skill published in the GitHub repository nelson820125/iforgeai (12 stars, last pushed 26d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,303 tokens. 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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