agent-dev-tooling

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Actualizado25 de julio de 2026 a las 20:15

Backend build, test, lint, and verify workflows via WSL pytest, ruff, doctor, and docker compose. Use before claiming work complete or opening a PR. Do not invent ad hoc Python commands outside documented venvs.

Instalación

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

Fuente

synthet

synthet/image-scoring-backend

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Descarga

SKILL.md

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name	agent-dev-tooling
description	Backend build, test, lint, and verify workflows via WSL pytest, ruff, doctor, and docker compose. Use before claiming work complete or opening a PR. Do not invent ad hoc Python commands outside documented venvs.

Agent dev tooling

Task runners, lint, and verification for image-scoring-backend (Vexlum Scoring).

Purpose

Run the correct project commands instead of inventing ad hoc toolchains. Primary stack: Python in WSL with documented venvs.

When to use

After code changes: pytest subset, ruff, doctor
Before /pr-ready: verification per AGENTS.md
Docker Compose for Postgres or inference E2E
Inspecting scripts under scripts/ before running

Required tools

Backend (primary): WSL2, ~/.venvs/tf (app/scripts), ~/.venvs/image-scoring-tests (pytest -m wsl)
Lint: ruff, optional pyright via uv tools
Ops: docker, docker compose

Install baseline: agent-cli-hub/references/install-blocks.md

Full command list: AGENTS.md, .agent/COMMANDS.md

WSL venv selection: wsl-tf-python-runner

Common commands (backend — WSL first)

Fast CPU subset (from AGENTS.md):

cd /mnt/d/Projects/image-scoring-backend
source ~/.venvs/tf/bin/activate
python -m pytest -m "not gpu and not db and not ml" --ignore=tests/test_probe.py -q

Official WSL pytest suite (-m wsl):

bash ./scripts/wsl/run_wsl_tests.sh

Doctor / diagnostics:

python scripts/doctor.py --no-gpu

Lint:

ruff check modules/ --output-format=concise

Agent infra (when touching .cursor/ assets):

python scripts/sync_assistant_trees.py --check
python scripts/ci/check_agent_frontmatter.py
python scripts/validate_cli_hub_skills.py

Docker (Postgres / profiles per AGENTS.md):

docker compose config
docker compose up -d

Postgres integration E2E (when explicitly requested):

RUN_POSTGRES_TESTS=1 pytest tests/integration/ -m postgres -v

Agent-safe patterns

Use WSL + correct venv before any modules.* import.
Prefer marker-filtered pytest over full suite unless user asks.
docker compose down -v and GPU jobs need confirmation.
IPC/secrets rules: .agent/SAFETY.md.

Commands requiring confirmation

ruff check --fix on broad paths
docker compose down -v (data loss)
Postgres/integration E2E without user request
Side-effecting MCP dispatch without confirmed=True

See commands-requiring-confirmation.md.

Troubleshooting

Import errors on Windows Python: switch to WSL + tf venv.
Wrong pytest venv for -m wsl: use run_wsl_tests.sh, not tf venv.
Doctor fails on DB: document blocker; may need docker compose up -d.
Port 7860 listens but health fails (Connection reset / refused): docker ps may show image-scoring-webui Up and the host socket still bound while the app inside is dead; webui.lock alone is not liveness evidence. Check docker ps -a --filter name=image-scoring-webui, docker logs --tail 40 image-scoring-webui, then docker restart image-scoring-webui. Poll until logs show Uvicorn running on http://0.0.0.0:7860 and curl -s -o /dev/null -w "%{http_code}" http://127.0.0.1:7860/api/health returns 200 (startup often takes 2–3 minutes for model/DB init — do not conclude failure on the first refusal).

Verification checklist

python scripts/doctor.py --no-gpu
python -m pytest -m "not gpu and not db and not ml" --ignore=tests/test_probe.py -q --co -q | head
ruff check modules/ --output-format=concise

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name	agent-dev-tooling
description	Backend build, test, lint, and verify workflows via WSL pytest, ruff, doctor, and docker compose. Use before claiming work complete or opening a PR. Do not invent ad hoc Python commands outside documented venvs.

Agent dev tooling

Task runners, lint, and verification for image-scoring-backend (Vexlum Scoring).

Purpose

Run the correct project commands instead of inventing ad hoc toolchains. Primary stack: Python in WSL with documented venvs.

When to use

After code changes: pytest subset, ruff, doctor
Before /pr-ready: verification per AGENTS.md
Docker Compose for Postgres or inference E2E
Inspecting scripts under scripts/ before running

Required tools

Backend (primary): WSL2, ~/.venvs/tf (app/scripts), ~/.venvs/image-scoring-tests (pytest -m wsl)
Lint: ruff, optional pyright via uv tools
Ops: docker, docker compose

Install baseline: agent-cli-hub/references/install-blocks.md

Full command list: AGENTS.md, .agent/COMMANDS.md

WSL venv selection: wsl-tf-python-runner

Common commands (backend — WSL first)

Fast CPU subset (from AGENTS.md):

cd /mnt/d/Projects/image-scoring-backend
source ~/.venvs/tf/bin/activate
python -m pytest -m "not gpu and not db and not ml" --ignore=tests/test_probe.py -q

Official WSL pytest suite (-m wsl):

bash ./scripts/wsl/run_wsl_tests.sh

Doctor / diagnostics:

python scripts/doctor.py --no-gpu

Lint:

ruff check modules/ --output-format=concise

Agent infra (when touching .cursor/ assets):

python scripts/sync_assistant_trees.py --check
python scripts/ci/check_agent_frontmatter.py
python scripts/validate_cli_hub_skills.py

Docker (Postgres / profiles per AGENTS.md):

docker compose config
docker compose up -d

Postgres integration E2E (when explicitly requested):

RUN_POSTGRES_TESTS=1 pytest tests/integration/ -m postgres -v

Agent-safe patterns

Use WSL + correct venv before any modules.* import.
Prefer marker-filtered pytest over full suite unless user asks.
docker compose down -v and GPU jobs need confirmation.
IPC/secrets rules: .agent/SAFETY.md.

Commands requiring confirmation

ruff check --fix on broad paths
docker compose down -v (data loss)
Postgres/integration E2E without user request
Side-effecting MCP dispatch without confirmed=True

See commands-requiring-confirmation.md.

Troubleshooting

Import errors on Windows Python: switch to WSL + tf venv.
Wrong pytest venv for -m wsl: use run_wsl_tests.sh, not tf venv.
Doctor fails on DB: document blocker; may need docker compose up -d.
Port 7860 listens but health fails (Connection reset / refused): docker ps may show image-scoring-webui Up and the host socket still bound while the app inside is dead; webui.lock alone is not liveness evidence. Check docker ps -a --filter name=image-scoring-webui, docker logs --tail 40 image-scoring-webui, then docker restart image-scoring-webui. Poll until logs show Uvicorn running on http://0.0.0.0:7860 and curl -s -o /dev/null -w "%{http_code}" http://127.0.0.1:7860/api/health returns 200 (startup often takes 2–3 minutes for model/DB init — do not conclude failure on the first refusal).

Verification checklist

python scripts/doctor.py --no-gpu
python -m pytest -m "not gpu and not db and not ml" --ignore=tests/test_probe.py -q --co -q | head
ruff check modules/ --output-format=concise