google/dev-testing-vm
In-VM diagnostics and test fixtures for Capsem. Use when working with capsem-doctor, adding new in-VM tests, debugging test failures inside the guest, inspecting session databases, or updating the test fixture. Covers the full capsem-doctor test suite, how to run subsets, how to add new VM tests, session inspection, and fixture management.
npx skills add https://github.com/google/capsem --skill dev-testing-vm
The diagnostic suite runs inside the guest VM via pytest. Tests live in guest/artifacts/diagnostics/ and are baked into the rootfs.
just exec "capsem-doctor" # Full suite (~10s total)
just exec "capsem-doctor -k sandbox" # Only sandbox tests
just exec "capsem-doctor -k network" # Only network tests
just exec "capsem-doctor -x" # Stop on first failure
| File | What it verifies |
|------|------------------|
| test_sandbox.py | Read-only rootfs, binary permissions, setuid/setgid, kernel hardening (no modules, no debugfs, no IPv6, no swap), process integrity, network isolation (dummy0, fake DNS, iptables) |
| test_network.py | MITM CA in system store + certifi, curl without -k, Python urllib HTTPS, CA env vars, HTTP/80 blocked, non-443 blocked, direct IP blocked, multi-domain DNS, AI provider domains |
| test_environment.py | TERM/HOME/PATH env vars, bash shell, kernel version, aarch64 arch, mount points, tmpfs |
| test_runtimes.py | Python3, Node.js, npm, pip3, git version checks, Python/Node file I/O, git workflow |
| test_utilities.py | ~36 unix utilities (coreutils, text processing, network, system tools) |
| test_workflows.py | Text write/read, JSON roundtrip, shell pipes, large file (10MB) |
| test_ai_cli.py | claude/gemini/codex installed and executable |
| test_virtiofs.py | VirtioFS mount, ext4 loopback, workspace I/O, pip install, file delete+recreate |
guest/artifacts/diagnostics/test_*.py or create test_<category>.pyfrom conftest import run for shell commands, output_dir fixture for temp filesjust _build-assets to bake new test files into the imagediagnostics/ are also repacked into the initrd by just exec, so just exec "capsem-doctor" picks up changes without a full rootfs rebuildjust exec "capsem-doctor -k <your_test>"After running a VM session, inspect the telemetry database:
python3 scripts/check_session.py # Latest session
python3 scripts/check_session.py <session-id> # Specific session
python3 scripts/check_session.py --list # List recent sessions
python3 scripts/check_session.py -n 10 # Show 10 preview rows per table
Checks: session ledgers exist (net_events, model_calls, tool_calls, tool_responses, fs_events, dns_events, security_rule_events), row counts, orphaned tool_calls, AI-provider consistency.
Each pipeline can be tested with a targeted VM command:
just exec 'touch /root/test.txt && sleep 1' then python3 scripts/check_session.pyjust exec 'curl -s https://api.anthropic.com/ && sleep 1'claude -p "what is 2+2"claude -p "use fetch to get https://example.com" and query tool_calls WHERE origin = 'mcp'If events are missing: check boot logs for daemon startup, vsock connection acceptance, and whether the VM lived long enough for the debouncer to flush (add sleep 1).
The fixture (data/fixtures/test.db) is a real session DB shared by frontend mock mode and Rust roundtrip tests. No synthetic data.
# 1. Run integration test to generate a rich session
python3 scripts/integration_test.py --binary target/debug/capsem --assets assets
# 2. Inspect completeness
python3 scripts/check_session.py <session-id>
# 3. Fixture refresh has no Just convenience command. Copy, checkpoint, and
# scrub the selected DB using the procedure in /dev-session-debug.
# 4. Verify
cargo test --workspace
The fixture must contain: both allowed and denied net_events, created/modified/deleted fs_events, model_calls with cost > 0, tool_calls with origin populated.
Take google/dev-testing-vm from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference pip.
Without those the skill loads but fails at the first command.