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Magnus Hedemark
b601ba0f13
Closes #22 Features: - references/subagent-experiment-supervision.md: self-healing experiment pattern with 10-failure catalog, auto-fix implementations, escalation to Telegram, and harness-specific notes - references/docker-experiment-isolation.md: resource limits, log collection, multi-container sweeps, cleanup patterns, Docker Compose - scripts/Dockerfile: test image for the skill's Docker-based tests - SKILL.md: CAMPAIGN type in question classifier, Principle #9, Infrastructure Awareness section, all new references in Available Resources, updated compatibility field Test results: 22/22 passing (supervision + Docker build)
17 lines
428 B
Docker
17 lines
428 B
Docker
# Data Scientist Skill — Test Image
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# Build: docker build -t ds-test -f scripts/Dockerfile .
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# Use: docker run --rm ds-test bash scripts/test_detect_compute.sh
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FROM python:3.12-slim
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# Install baseline ML deps (no torch — tests verify graceful degradation)
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RUN pip install --quiet --no-cache-dir \
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scipy>=1.10 \
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numpy>=1.24 \
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scikit-learn>=1.4 \
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pandas>=2.0 \
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psutil
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WORKDIR /data-scientist
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COPY . .
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