analysis-pipeline
Reverse engineering - multi-source product intelligence analysis with provenance tracking. Master methodology for all analysis agents.
Infrastructure skill for containerized target execution. Runtime detection, container lifecycle, security restrictions, interaction patterns.
$ npx -y skills add prime-radiant-inc/greenfield --skill container-execution --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/container-executionContext preview
The summary Claude sees to decide when to auto-load this skill.
Infrastructure skill for containerized target execution. Runtime detection, container lifecycle, security restrictions, interaction patterns.
name: container-execution description: Infrastructure skill for containerized target execution. Runtime detection, container lifecycle, security restrictions, interaction patterns.
All runtime analysis targets run inside containers. Never execute untrusted code on the host.
if command -v docker &>/dev/null; then RUNTIME="docker" elif command -v podman &>/dev/null; then RUNTIME="podman" else echo "No container runtime found. Runtime observation unavailable." # Continue with static analysis modes only fi
If neither Docker nor Podman is available, skip all agents that require containers. This is not an error — runtime observation is additive.
Container name: `greenfield-${WORKSPACE}-target`
digraph container_lifecycle {
rankdir=TB;
"Start container lifecycle" [shape=doublecircle];
"Container runtime available?" [shape=diamond];
"Build target image" [shape=box];
"Build succeeded?" [shape=diamond];
"Start container with resource limits" [shape=box];
"Verify container is running" [shape=box];
"Container running?" [shape=diamond];
"Execute agent commands via docker exec" [shape=box];
"Stop and remove container" [shape=box];
"Lifecycle complete" [shape=doublecircle];
"Skip runtime mode, continue static analysis" [shape=ellipse];
"Log failure, skip runtime mode" [shape=ellipse];
"Start container lifecycle" -> "Container runtime available?";
"Container runtime available?" -> "Build target image" [label="yes"];
"Container runtime available?" -> "Skip runtime mode, continue static analysis" [label="no"];
"Build target image" -> "Build succeeded?";
"Build succeeded?" -> "Start container with resource limits" [label="yes"];
"Build succeeded?" -> "Log failure, skip runtime mode" [label="no"];
"Start container with resource limits" -> "Verify container is running";
"Verify container is running" -> "Container running?";
"Container running?" -> "Execute agent commands via docker exec" [label="yes"];
"Container running?" -> "Log failure, skip runtime mode" [label="no"];
"Execute agent commands via docker exec" -> "Stop and remove container";
"Stop and remove container" -> "Lifecycle complete";
}The Dockerfile is at `workspace/raw/runtime/Dockerfile`. It is generated based on target type:
**Node.js CLI/Library:**
FROM node:lts-slim WORKDIR /app COPY target/ /app/ RUN npm install --production 2>/dev/null || true RUN npm link 2>/dev/null || true RUN mkdir -p /output ENTRYPOINT ["sleep", "infinity"]
**Python:**
FROM python:3.12-slim WORKDIR /app COPY target/ /app/ RUN pip install --no-cache-dir -r requirements.txt 2>/dev/null || true RUN pip install --no-cache-dir -e . 2>/dev/null || true RUN mkdir -p /output ENTRYPOINT ["sleep", "infinity"]
**Compiled Binary (Go, Rust, C):**
FROM ubuntu:22.04
RUN apt-get update && apt-get install -y --no-install-recommends \
ca-certificates file strace && rm -rf /var/lib/apt/lists/*
COPY target/binary /usr/local/bin/target
RUN chmod +x /usr/local/bin/target
RUN mkdir -p /output
ENTRYPOINT ["sleep", "infinity"]**Web Application:**
FROM node:lts-slim WORKDIR /app COPY target/ /app/ RUN npm install --production 2>/dev/null || true RUN mkdir -p /output EXPOSE 3000 CMD ["npm", "start"]
Build command:
$RUNTIME build -t greenfield-${WORKSPACE}-target \
-f workspace/raw/runtime/Dockerfile .If the build fails, log the error to `workspace/raw/runtime/build-log.txt` and mark runtime mode as unavailable. The pipeline continues with other modes.
**CLI/Library targets:**
$RUNTIME run -d \
--name greenfield-${WORKSPACE}-target \
--memory=2g --cpus=2 --pids-limit=256 \
--network=none --read-only \
--tmpfs /tmp:rw,noexec,nosuid,size=256m \
-v "$(pwd)/workspace/raw/runtime:/output:rw" \
greenfield-${WORKSPACE}-target**Web application targets:**
$RUNTIME run -d \
--name greenfield-${WORKSPACE}-target \
--memory=2g --cpus=2 --pids-limit=256 \
--network=none \
-p 127.0.0.1:3000:3000 \
-v "$(pwd)/workspace/raw/runtime:/output:rw" \
greenfield-${WORKSPACE}-target$RUNTIME inspect --format='{{.State.Running}}' greenfield-${WORKSPACE}-target
# Expected: true$RUNTIME stop --time=10 greenfield-${WORKSPACE}-target 2>/dev/null || true
$RUNTIME rm greenfield-${WORKSPACE}-target 2>/dev/null || trueAll target interaction goes through `docker exec` (or `podman exec`).
timeout 30 $RUNTIME exec greenfield-${WORKSPACE}-target \
sh -c 'command args 2>&1' \
> workspace/raw/runtime/cli/output.txttimeout 30 $RUNTIME exec greenfield-${WORKSPACE}-target \
sh -c 'command args 2>&1' > output.txt 2>&1
EXIT_CODE=$?
if [ $EXIT_CODE -eq 124 ]; then
echo "TIMEOUT: Command killed after 30 seconds." >> output.txt
fi$RUNTIME exec -e "DEBUG=true" -e "CONFIG_PATH=/app/config.json" \
greenfield-${WORKSPACE}-target sh -c 'target-command 2>&1'echo "user input here" | \
timeout 30 $RUNTIME exec -i greenfield-${WORKSPACE}-target \
sh -c 'target-command' > output.txt 2>&1Before executing commands, verify:
1. Container is running: `$RUNTIME inspect --format='{{.State.Running}}' greenfield-${WORKSPACE}-target` 2. Output directory is mounted: `$RUNTIME exec greenfield-${WORKSPACE}-target test -d /output`
# Help and version discovery timeout 30 $RUN
Reverse engineer clean behavioral specs from any codebase. Greenfield reads source code, documentation, SDKs, runtime behavior, and binaries, then produces behavioral specifications, test vectors, acceptance criteria, and a full provenance trail.
Repo: prime-radiant-inc/greenfield
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