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The supervise sidecar (PRD 0013) has been serving MCP at http://supervise:9100/ since it landed, but the in-bottle Claude Code had no `.mcp.json` or settings pointing there — so the agent couldn't actually call cred-proxy-block / pipelock-block / capability-block as tools. To exercise the flow you had to curl the sidecar from a sibling container. This closes that last mile. - claude_bottle/backend/docker/provision/supervise.py (new): provision_supervise(plan, target) writes ~/.claude/settings.json into the running agent container with an mcpServers.supervise entry of type http pointing at the per-bottle sidecar. No-op when bottle.supervise is False. - BottleBackend.provision orchestrator gains provision_supervise as the last step (after CA, prompt, skills, git, cred-proxy). Default impl is a no-op so non-Docker backends aren't forced to implement it. - DockerBottleBackend wires it through to the new module. - Test covers the rendered settings shape so a future regression in the MCP entry format would surface in unit-level CI. To test the full flow end-to-end now: ./cli.py start <agent> --cwd # agent's claude sees supervise # agent calls cred-proxy-block via MCP ./cli.py dashboard # approve ./cli.py resume <identity> # restart with new capabilities Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Tests
Plain-Python test suite using stdlib unittest. No external
dependencies. Unit tests run anywhere Python 3 is present; integration
tests need Docker and skip cleanly otherwise.
Layout
tests/
fixtures.py # JSON manifest builders (shared)
_docker.py # docker-availability skip helper (shared)
unit/
test_pipelock_classify.py
test_pipelock_allowlist.py
test_pipelock_yaml.py
test_manifest_runtime.py
integration/
test_pipelock_sidecar_smoke.py
test_dry_run_plan.py
test_orphan_cleanup.py
canaries/
test_pipelock_image.py # opt-in; see below
Classification falls out of the directory — no hand-maintained list to keep in sync.
Running
python -m unittest discover -t . -s tests/unit -v # unit only
python -m unittest discover -t . -s tests/integration -v # integration only
python -m unittest discover -t . -s tests -v # both (recursive)
python -m unittest tests.unit.test_pipelock_yaml # one file
Discovery is invoked with -t . (top-level dir = repo root) so the
claude_bottle package on sys.path resolves correctly.
What the integration tests cover
test_pipelock_sidecar_smoke.py— drivesDockerPipelockProxy.prepare.start(the production code path) against a real Docker daemon and probes the sidecar's/healthfrom an in-network curl container.
test_dry_run_plan.py—cli.py start --dry-run --format=jsonemits a structured plan that contains the resolved egress allowlist and the bottle's runtime, and creates zero Docker resources.test_orphan_cleanup.py—network_removeandPipelockProxy.stopare idempotent against missing resources, so the EXIT trap can call them unconditionally.
Canaries
tests/canaries/ holds upstream-regression checks (e.g. the pinned
pipelock digest's binary still runs). These are gated on
CLAUDE_BOTTLE_RUN_CANARIES=1 and not part of the per-push suite.
They're invoked by the scheduled canaries workflow.
CLAUDE_BOTTLE_RUN_CANARIES=1 python -m unittest discover -t . -s tests/canaries -v
What's NOT covered
claude_bottle/ssh.pyend-to-end (would need a fake SSH host inside the container).- A live SSH-through-pipelock tunnel against a real Tailscale-style IP.
- DLP false-positive measurements.
- TLS handling / cert pinning behavior.
Adding a test
- Pick the directory:
tests/unit/for a pure unit test,tests/integration/for one that needs Docker. - Filename:
test_<topic>.py. - Boilerplate:
import unittest from claude_bottle.<module> import <symbol> class TestThing(unittest.TestCase): def test_x(self): ... if __name__ == "__main__": unittest.main() - For Docker-dependent tests, decorate the class with
@skip_unless_docker()fromtests._docker.