python-backend

A coding agent for running Python backend work with FastAPI, Django, or Flask, which are Python frameworks for building web services and applications.

In plain words
What is it for?
Use it for Python server code and projects built with FastAPI, Django, or Flask.
Why use it?
It gives backend tasks a Python-focused agent instead of requiring you to handle every framework-specific step yourself.

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.

agentmods
npx agentmods add agents/planvault/ai-engineering-playbook/python-backend
Clone the repo
git clone --depth 1 https://github.com/PlanVault/ai-engineering-playbook
Per session 16 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 943 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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 $0.00016 $0.00943
Opus 5 $0.00008 $0.00472
Sonnet 5 $0.00003 $0.00189
Haiku 4.5 $0.00002 $0.00094

Measured yesterday against content hash b9fa0a535c8c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

python-backend scanned grade A with 1 finding 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 yesterday.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

return requests.get(f"{PAYMENT_API}/orders/{order_id}").json()
example_claude/agents/python-backend.md · 92 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. yesterday First seen · 92 lines · 16 tokens per session scan A b9fa0a535c8c

Subscribe to this mod's changes

python-backend is an agent published in the GitHub repository PlanVault/ai-engineering-playbook (4 stars, last pushed 1mo ago), with no licence file. It adds 16 tokens to every session and 943 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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