ci-adhoc-test
GitHub通过 CI 在真实 macOS/Windows 环境进行跨平台探索性测试,解决 Docker 无法覆盖的场景。无需 PR,利用分支触发 GitHub Actions Workflow 执行探针验证。
Trigger Scenarios
Install
npx skills add nubjs/nub --skill ci-adhoc-test -g -y
SKILL.md
Frontmatter
{
"name": "ci-adhoc-test",
"metadata": {
"internal": true
},
"description": "Run ad-hoc \/ exploratory tests on a real OS or platform via CI when the behavior CANNOT be reproduced on the local host or in Docker — macOS Seatbelt \/ sandbox-exec \/ codesigning, Windows cmd.exe \/ --script-shell shell selection \/ .cmd resolution \/ Authenticode, musl-vs-glibc, Linux-arm64, a specific Node floor. Invoke (via the Skill tool) whenever the user asks to \"test this on macOS\/Windows CI\", \"probe this across operating systems \/ platforms\", \"run an ad-hoc cross-platform check\", or any validation that needs a real macOS or Windows runner. THE KEY FACT this skill exists to carry: a pull request is NOT required — a branch-scoped GitHub Actions workflow (workflow_dispatch + push to the branch) runs the probe with no PR open. Pairs with `ad-hoc-test` (local host probing), `dev-loop` (build), `ci-watch` (await the run), and AGENTS.md's Docker section (Linux-only; this skill covers what Docker can't)."
}
Ad-hoc testing on a real OS/platform via CI
Some behavior is only observable on a real target platform: macOS Seatbelt / sandbox-exec / Gatekeeper / codesigning, Windows cmd.exe / --script-shell selection / .cmd/.bat resolution / Authenticode / SmartScreen, musl-vs-glibc detection, Linux-arm64, a pinned Node floor. Docker closes the Linux corners cheaply but runs Linux containers only — it is not a substitute for macOS or Windows.
The key fact: no PR is required
A GitHub Actions workflow does not need an open pull request. Trigger it on the branch:
on:
push:
branches: [<your-probe-branch>] # THE trigger: runs on every push to THIS branch
paths: # only when the harness itself changes
- 'tests/<probe-name>/**'
- '.github/workflows/<wf>.yml'
workflow_dispatch: # INERT until the file lands on the default branch — see below
- Push to the branch → the probe runs. Open no PR, or close one you opened.
- Re-run with another push:
git commit --allow-empty -m rerun && git push. Or re-run a finished run withgh run rerun <run-id>(gh run list --branch <branch>for the id). pushis load-bearing;workflow_dispatchalone will NOT work for a branch-only probe. GitHub only registers aworkflow_dispatchworkflow if the file is on the default branch, sogh workflow run <wf>.yml --ref <branch>errors ("no workflows found") and it never appears in the Actions UI. Keep the entry for when the probe graduates tomain; don't rely on it before then.- Do NOT open a PR just to get CI. A PR signals "ready to land," which a prototype is not.
- Omit any
pull_request:trigger — it ties runs to PR state, which is what you're avoiding.
The harness shape
Keep the probe self-contained under tests/<probe-name>/, mirroring the existing ones:
- A generator / runner (e.g. an SBPL profile generator + a
sandbox-execrunner; a.cmdresolver harness). - Fast unit + smoke tests asserting the enforcement and the bypass/fail-closed cases.
- A
README.md(what it validates, how to reproduce locally) and aresults.md(findings, plus heavy runs reproduced on demand). - The branch-scoped workflow
.github/workflows/<wf>.yml.
Mirror tests/sandbox-macos-writeconfine/ + .github/workflows/sandbox-macos-writeconfine.yml, or its Windows counterpart tests/sandbox-win-probes/ (each on its own probe branch, not main).
Keep CI lean — fast, deterministic core only: unit tests + the enforcement/bypass smoke matrix, no network, no mega-fixture. Heavy or combinatorial runs are documented in results.md and reproduced on demand. CI capacity is shared; a 22-minute-per-push probe job is already a lot.
Run and watch
- Kick a run by pushing to the branch; list with
gh run list --workflow <wf>.yml --branch <branch>. - Await a specific run with the
ci-watchskill (scripts/ci-watch.ts) rather than rawgh run watch— it waits for the run to exist, polls authoritative terminal status, fails fast, and exits 0 only on confirmed success. - A failure is immediately actionable — read the job log, fix the harness, push again.
Lifecycle
- The branch is the durable home of the probe while it's exploratory. Push, run, iterate.
- When it graduates into a permanent regression check, fold it into
mainthrough the normal flow (it'stests/**+ a workflow file — a content/CI change routed straight tomain). Decide its steady-state trigger then. - If you only needed the one-time answer, leave the branch as the record (or delete it once
results.mdcaptures the findings) — never open a PR to "preserve" a throwaway probe.
A cross-compile CHECK is not a test run
cargo check -p nub-cli --all-targets --target x86_64-pc-windows-gnu proves the code COMPILES for Windows. It says nothing about whether the tests PASS there, and the gap is exactly where platform behavior lives: .cmd shims vs #!/usr/bin/env node, path separators, NODE_OPTIONS tokenizing, process.title, mode bits that are no-ops.
A cross-compile is a necessary pre-flight, never the evidence. If you are un-gating tests from #[cfg(unix)], or writing anything whose behavior could differ by platform, run a branch probe BEFORE pushing — it needs no PR and costs one workflow run.
When to reach for this vs the alternatives
- Local host probe (
ad-hoc-test) — the behavior reproduces on your dev machine. Default for anything not platform-gated. - Docker (AGENTS.md) — a Linux corner: musl/glibc, a Node floor, a clean dependency-free environment, first-run install.
- This skill (CI branch probe) — a macOS or Windows behavior, or a real multi-runner matrix, that neither the host nor Docker can show.
Version History
- 46280a5 Current 2026-08-03 01:42
- 4fd083f 2026-07-19 12:03
- 44d0dd0 2026-07-05 11:02


