ci-adhoc-test
GitHub通过CI在真实OS(macOS/Windows)执行临时测试,解决Docker无法覆盖的场景。无需PR,直接推送分支触发GitHub Actions工作流进行验证。
触发场景
安装
npx skills add nubjs/nub --skill ci-adhoc-test -g -y
SKILL.md
Frontmatter
{
"name": "ci-adhoc-test",
"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 can only be observed on a real target platform: macOS Seatbelt / sandbox-exec / Gatekeeper / codesigning, Windows cmd.exe / --script-shell shell selection / .cmd/.bat resolution / Authenticode / SmartScreen, musl-vs-glibc detection, Linux-arm64, a pinned Node floor. Docker closes the Linux corners cheaply (see AGENTS.md's Docker section) but runs Linux containers only — it is not a substitute for macOS or Windows. CI runners (macos-latest, windows-latest) are the only way to exercise those, and this skill is how you do it as a throwaway probe.
The key fact: no PR is required
A GitHub Actions workflow does not need an open pull request to run. Trigger it on the branch instead:
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
With this trigger the CI capability is keyed to the branch + workflow file, not to a PR. Consequences:
- Push to the branch → the probe runs. Open no PR, or close one you opened — the runs keep working.
- Re-run with another push — an empty commit is the simplest:
git commit --allow-empty -m rerun && git push. Or re-run a finished run as-is withgh run rerun <run-id>(gh run list --branch <branch>to get 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 — so for a workflow that lives only on the feature branch,gh workflow run <wf>.yml --ref <branch>errors ("no workflows found") and it never appears in the Actions UI. Keep theworkflow_dispatchentry for the day the probe graduates tomain, but do not rely on it before then; thepushtrigger is the only thing that fires a not-on-mainworkflow.- Do NOT open a PR just to get CI. A PR signals "ready to land / please review," which a prototype is not. Opening one to trigger CI is the wrong tool and reads as premature-ship. (Worked example: PR #205 added a
macos-latestSeatbelt probe; it was closed as premature, and the branchpushtrigger meant the macOS validation kept working off thefs-write-confinebranch with the PR closed.) - Omit any
pull_request:trigger — it ties runs to PR state, which is exactly what you're avoiding.
The harness shape
Keep the probe self-contained under tests/<probe-name>/, mirroring the existing ones, so the whole thing is one reviewable, reproducible unit:
- A generator / runner (e.g. an SBPL profile generator + a
sandbox-execrunner; a.cmdresolver harness). - Fast unit + smoke tests that assert the enforcement and the bypass/fail-closed cases.
- A
README.md(what it validates, how to reproduce locally) and aresults.md(the findings, plus any heavy runs reproduced on demand). - The branch-scoped workflow
.github/workflows/<wf>.yml.
Examples to mirror: tests/sandbox-macos-writeconfine/ + .github/workflows/sandbox-macos-writeconfine.yml (macOS Seatbelt write-confine), and its Windows counterpart tests/sandbox-win-probes/ (each lives on its own probe branch, not main).
Keep CI lean — fast core only
The CI job runs the fast, deterministic core: unit tests + the enforcement/bypass smoke matrix, no network, no mega-fixture. Heavy or combinatorial runs (a frameworks mega-fixture, per-cache-family sweeps) are documented in results.md and reproduced on demand, not baked into every CI run. CI capacity is shared (AGENTS.md) — a probe job that takes 22 minutes per push is already a lot; don't make it a per-commit tax.
Run and watch
- Kick a run by pushing to the branch (an empty commit if the harness is unchanged:
git commit --allow-empty -m rerun && git push); list withgh run list --workflow <wf>.yml --branch <branch>. (gh workflow runonly works once the file is on the default branch — see the trigger note above.) - 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 (the
pushtrigger re-runs it).
Lifecycle
- The branch is the durable home of the probe while it's exploratory — it persists with no PR ceremony. Push, run, iterate.
- When the harness graduates into a permanent regression check, fold it into
mainthrough the normal flow (it'stests/**+ a workflow file — a content/CI change, which AGENTS.md routes straight tomain, no review-gate PR). Decide its steady-state trigger then (e.g. path-filtered onmain, orworkflow_dispatch-only). - 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.
When to reach for this vs the alternatives
- Local host probe (
ad-hoc-testskill) — the behavior reproduces on your dev machine. Cheapest; 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. Linux containers only.
- This skill (CI branch probe) — a macOS or Windows behavior, or a real multi-runner matrix, that neither the host nor Docker can show. The PR-free, branch-scoped path.
版本历史
- 44d0dd0 当前 2026-07-05 11:02


