antithesis-setup — Claude Code skill: Antithesis harness
Scaffolds the antithesis/ harness with Dockerfiles and docker-compose.yaml so your system comes up in Antithesis in a mostly idle state.
npx skills add antithesishq/antithesis-skills --skill antithesis-setup -a claude-codeWhat antithesis-setup does
This skill builds the harness that brings a system up inside Antithesis. It initializes the working directory, writes Dockerfiles for the SUT components, and produces antithesis/config/docker-compose.yaml with the required images referenced through build: directives. Along the way it decides how each service is instrumented, how the Antithesis SDK gets installed, and where the bootstrap property lives.
The work is split into reference files: directory init, instrumentation, Docker images, docker-compose, the contents of antithesis/config/, and local testing before the first submission. You read and implement them one at a time, and after each step you check whether what you learned invalidates earlier decisions. Instrumentation is the usual casualty once image builds start. Success looks like a passing snouty validate on antithesis/config/ and at least one minimal bootstrap property that shows up in the first run.
Setup refuses to start without research artifacts: antithesis/scratchbook/ must contain sut-analysis.md and deployment-topology.md. If the scratchbook is missing, the skill stops and tells you to run antithesis-research first, because instrumentation and service composition decisions come out worse without that context. You also need Docker Compose v2, a container engine (docker or podman), and snouty 0.8.0 or newer. Kubernetes deployments belong to the separate antithesis-setup-k8s skill.
What it helps with
- scaffold the
antithesis/directory in a project - write Dockerfiles for SUT components
- build
docker-compose.yamlwithbuild:directives - install the Antithesis SDK and add a bootstrap property
- validate the config with
snouty validatebefore the first run
Example prompts for the agent
- run antithesis-setup and scaffold the harness for my project
- check that
antithesis/config/docker-compose.yamlpassessnouty validate - prepare my first Antithesis test run
How to install antithesis-setup
1Skills CLI (Vercel)
npx skills add antithesishq/antithesis-skills --skill antithesis-setup -a claude-code2Manually: put the files in place
~/.claude/skills/antithesis-setup/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/antithesis-setup/
1Skills CLI (Vercel)
npx skills add antithesishq/antithesis-skills --skill antithesis-setup -a codex2Manually: put the files in place
.agents/skills/antithesis-setup/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add antithesishq/antithesis-skills --skill antithesis-setup -a cursor2Manually: put the files in place
.cursor/skills/antithesis-setup/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install antithesishq/antithesis-skills antithesis-setup2Manually: put the files in place
.github/skills/antithesis-setup/SKILL.md1Skills CLI (Vercel)
npx skills add antithesishq/antithesis-skills --skill antithesis-setup -a gemini-cli2Platform CLI
gemini skills install https://github.com/antithesishq/antithesis-skills --path antithesis-setupManually: put the files in place
.devin/skills/antithesis-setup/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add antithesishq/antithesis-skills --skill antithesis-setup -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about antithesis-setup
How do I install antithesis-setup in Claude?
Run npx skills add antithesishq/antithesis-skills --skill antithesis-setup -a claude-code. The skill lands in ~/.claude/skills/antithesis-setup/SKILL.md.
What does antithesis-setup do?
It initializes the antithesis/ directory, writes Dockerfiles and docker-compose.yaml with build: directives, settles instrumentation, and prepares the system for a first Antithesis run.
What does the skill require?
Docker Compose v2, a container engine such as docker or podman, and snouty 0.8.0 or newer. It also needs research artifacts in antithesis/scratchbook/ and will not proceed without them.
Source text
SKILL.md · Apache-2.0
--- name: antithesis-setup description: > Scaffold the Antithesis harness with docker-compose: initialize the working directory, write Dockerfiles and docker-compose.yaml with build directives, and prepare to submit your first Antithesis test run. If the desired setup is Kubernetes, defer to the antithesis-setup-k8s skill. compatibility: Requires Docker Compose v2, a container engine (docker or podman), and snouty (https://github.com/antithesishq/snouty). metadata: version: "2026-10-21 4f8d80b" --- # Antithesis Setup **Skill version:** `2026-10-21 4f8d80b` ## Purpose and Goal Scaffold the `antithesis/` harness needed to bring the system up in Antithesis in a mostly idle, ready state. Success means: - `antithesis/config/docker-compose.yaml` exists and required SUT images are referenced with `build:` directives - `snouty validate` on `antithesis/config/` succeeds - the SUT dependency graph includes the relevant Antithesis SDK where assertions or lifecycle hooks will run - at least one minimal bootstrap property exists in a simple SUT path and is expected to show up in the first Antithesis run - The harness is ready for the `antithesis-workload` skill to add or iterate on test templates, assertions, and workload code - If the user asks to submit or launch a run, use the `antithesis-launch` skill — do not run `snouty launch` directly ## Prerequisites - **Research artifacts required.** Before proceeding, check whether `antithesis/scratchbook/` exists and contains research output (at minimum `sut-analysis.md` and `deployment-topology.md`). If the scratchbook is missing or empty, **stop and warn the user**: > The `antithesis-research` skill has not been run yet (no scratchbook found at `antithesis/scratchbook/`). Setup depends on research artifacts — especially the SUT analysis and deployment topology — to make informed decisions about instrumentation, image structure, and service composition. Please run `antithesis-research` first, review its output, then return to setup. Do not attempt to proceed without research artifacts. The setup skill will make significantly worse decisions without the context that research provides. - **Verify research provenance.** Setup runs once per project and produces durable, expensive output (Dockerfiles, compose, instrumentation), so misalignment is costly. Read whatever provenance frontmatter is present in `antithesis/scratchbook/sut-analysis.md` and `antithesis/scratchbook/deployment-topology.md`. Use whatever fields you find — the schema may evolve over time, so don't treat partial or older frontmatter as broken. Describe what you found in plain language. Examples: - Full schema: "this scratchbook is for SUT at `/path/X` at commit `abc12345abcd` (2026-05-05), external refs: A, B." - Partial: "the catalog records `commit` and `updated` but no `sut_path` or `external_references`." - Absent: "no provenance recorded; the scratchbook predates this convention." - Disagreement across files: "sut-analysis is for `/path/A` at commit `abc`; deployment-topology is for `/path/B` at commit `def` — these disagree." Then ask the user: > Is this still the system you're targeting? If the user says no, **do not proceed**. Stop and tell the user to re-run `antithesis-research`. Setup against confirmed-stale research will produce mismatched scaffolding. The user-facing commit display uses the short hash (first 12 characters) for readability; the frontmatter still stores the full SHA. - DO NOT PROCEED if `snouty` is not installed. See `https://raw.githubusercontent.com/antithesishq/snouty/refs/heads/main/README.md` for installation options. - DO NOT PROCEED if `snouty` is older than 0.8.0. Use `snouty --version` to find the version. Use `snouty update` to update. ## Documentation Grounding Use the `antithesis-documentation` skill to access these pages. Prefer `snouty docs`. - Docker Compose setup guide: `https://antithesis.com/docs/getting_started/setup_guide/docker_compose.md` - Docker best practices: `https://antithesis.com/docs/best_practices/docker_best_practices.md` - Coverage instrumentation: `https://antithesis.com/docs/reference/instrumentation/coverage_instrumentation.md` - Assertion cataloging: `https://antithesis.com/docs/reference/sdk/assertion_cataloging.md` - Handling external dependencies: `https://antithesis.com/docs/reference/dependencies.md` - Fault injection: `https://antithesis.com/docs/product/fault_injection.md` ## Workflow This skill is broken out into multiple steps, each in a different reference file. Read and implement each reference file listed below one at a time to fully set up a project. After implementing each step, check whether what you learned invalidates any decisions from earlier steps. Instrumentation decisions (step 2) are the most common thing that needs revision once you start building images (step 3). - `references/directory-init.md`: initialize or merge the `antithesis/` directory from `assets/antithesis/` - `references/instrumentation.md`: decide how each SUT service is instrumented, how the SDK is installed, how symbols are delivered, and where the bootstrap property lives - `references/docker-images.md`: create or adapt Dockerfiles for SUT components - `references/docker-compose.md`: write `antithesis/config/docker-compose.yaml` - `references/config-dir.md`: understand what belongs in `antithesis/config/` - `references/submit-and-test.md`: test locally and submit the first run ## General Guidance - Merge with existing `antithesis/` content instead of overwriting it. - Build and test locally with the compose CLI and container runtime `snouty doctor` reports. See `references/submit-and-test.md`. - Keep Antithesis-only scaffolding under `antithesis/` when practical. - Focus this skill on infrastructure and readiness, not on defining the workload itself. - Installing the relevant Antithesis SDK into the SUT and adding one minimal bootstrap assertion is part of setup, not deferred workload work. - If `antithesis/test/` does not exist yet, create the directory structure needed for later workload work, but leave real test templates and assertions to `antithesis-workload`. - Treat instrumentation and symbolization as bootstrap work. The setup is not complete until the relevant images expose `/opt/antithesis/catalog/` or `/symbols/` correctly for their language. - Treat local testing as required before the first submission. - Use the `antithesis-launch` skill to submit runs, do not run `snouty launch` directly. If the `antithesis-launch` skill is not present, then use `snouty launch` directly to submit runs. Run `compose build` before `snouty launch` to ensure images are up to date. - Do not add a separate Dockerfile under `antithesis/config/` unless the deployment explicitly requires it. - Disable color/ANSI output in every container. Antithesis stores raw bytes and does not render escape codes — color output is garbage in logs and triage. Set `NO_COLOR=1` on all services via docker-compose.yaml environment blocks or Dockerfile `ENV` directives. Add tool-specific flags (e.g. `FORCE_COLOR=0`) where needed. ## Self-Review Before declaring this skill complete, review your work against the criteria below. If your agent supports spawning sub-agents, create a new agent with fresh context to perform this review — give it the path to this skill file and have it read all output artifacts. A fresh-context reviewer catches blind spots that in-context review misses. If your agent does not support sub-agents, perform the review yourself: re-read the success criteria at the top of this file, then systematically check each item below against your actual output. Review criteria: - `antithesis/config/docker-compose.yaml` exists and every service has `build:` (for local images) or `image:` (for public images) configured correctly - Every service in docker-compose.yaml includes `platform: linux/amd64` - Every service has `hostname:` set to match its `container_name:`, and neither contains an underscore (use hyphens — underscores are not valid DNS label characters) - Every service sets `init: true` so the service process does not run as pid 1 - Cross-service dependencies use `depends_on` with `condition: service_healthy` against a defined `healthcheck`, not plain `depends_on` - The runtime compose does NOT set a custom `logging:` driver, does not configure any `internal: true` network, and does not set `pull_policy:` - The instrumentation inventory from `references/instrumentation.md` is fully implemented: each service is instrumented, cataloged-only, or explicitly documented as uninstrumented - The relevant Antithesis SDK is installed in the SUT dependency graph - A bootstrap property exists in a simple, guaranteed-to-run code path (not behind rare behavior) - `/opt/antithesis/catalog/` or `/symbols/` is exposed correctly for each service's language - The `setup_complete` signal is wired in at least one entrypoint - `snouty validate` on `antithesis/config/` succeeds - All built images target `amd64` (verified via `image inspect` on the engine snouty selects) - The build used the compose CLI and engine `snouty doctor` reports - Every service has `NO_COLOR=1` set in its environment (via docker-compose.yaml and/or Dockerfile) to prevent ANSI escape codes in container output - The harness is ready for the `antithesis-workload` skill — test template directories exist or are wired for later use - If the user asks to launch a run, the `antithesis-launch` skill is used instead of running `snouty launch` directly - Whatever research provenance was present in `sut-analysis.md` and `deployment-topology.md` was described to the user and confirmed before scaffolding began (provenance frontmatter format is defined in the `antithesis-research` skill, `references/scratchbook-setup.md`)
© antithesishq · Apache-2.0 · antithesishq/antithesis-skills