scaffold-bdd

A command that creates a standard Behave BDD test layout for a Python project. BDD, or behavior-driven development, describes software behavior as user-facing scenarios that can be run as tests.

In plain words
What is it for?
Use it to start a new feature test in either a mock-based setup or an infrastructure-based setup using Testcontainers, which runs services in temporary containers.
Why use it?
It removes the repetitive setup needed before writing these tests, including scenario state, test hooks, step files, and optional container-based infrastructure.

Command

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 commands/syntaxarc/archipy-plugin/scaffold-bdd
Clone the repo
git clone --depth 1 https://github.com/SyntaxArc/archipy-plugin
Per session 24 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 243 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00024 $0.00243
Opus 5 $0.00012 $0.00121
Sonnet 5 $0.00005 $0.00049
Haiku 4.5 $0.00002 $0.00024

Measured 2d ago against content hash 8b84516ad1f0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

scaffold-bdd 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.

commands/scaffold-bdd.md · 22 lines

What it actually says

/scaffold-bdd

Follow the scaffold-archipy-bdd skill.

  1. Ask for feature name and mocks vs infra (@needs-* + testcontainers).
  2. Always generate (if missing), modeled on ArchiPy features/:
    • features/scenario_context.py
    • features/scenario_context_pool_manager.py
    • features/test_helpers.py (get_current_scenario_context)
    • features/environment.py (behave hooks + TestConfig)
    • features/<name>.feature + features/steps/<name>_steps.py
  3. Infra mode: also features/test_containers.py (ContainerManager + only needed containers), .env.test image vars, uv add "archipy[testcontainers]".
  4. Do not copy ArchiPy-core gRPC/Temporal server bootstrap unless the app tests those.

Docs: https://syntaxarc.github.io/ArchiPy/tutorials/testing_strategy/

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 · 22 lines · 24 tokens per session scan A 8b84516ad1f0

Subscribe to this mod's changes

scaffold-bdd is a command published in the GitHub repository SyntaxArc/archipy-plugin (2 stars, last pushed 8d ago), licensed MIT. It adds 24 tokens to every session and 243 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 2026-08-31.