Flaky and ignored changes in SnapVisor

Silence a single known-noisy change so it stops blocking a build, undo that when needed, and show which tests flake most. Ignoring affects one change; every other diff in the build stays as it is.

Connecting and calling the tools

Every operation in this skill comes from the snapvisor MCP server, the SnapVisor connector. The server defaults to Code Mode, so the operations below are written as the external_* functions you call inside snapvisor:execute_typescript. On a server set to the per-tool surface, the same operation is listed as snapvisor:<name> without the external_ prefix, for example snapvisor:listBuilds.

• Only snapvisor:search_tools and snapvisor:execute_typescript listed (Code Mode, the default): call snapvisor:search_tools first, then call each tool inside snapvisor:execute_typescript as external_<tool> (for example external_listBuilds); the program must return its result. Scopes, confirmations and gates are identical on both surfaces.
• Operations listed by name: call them directly, for example snapvisor:listBuilds.
• "Tool not found": switch to the Code Mode route instead of retrying the direct call. If snapvisor:search_tools does not return the tool either, its OAuth scope was not granted; the user reconnects SnapVisor and approves that scope.
• No snapvisor tools at all: SnapVisor is not connected yet. Install the SnapVisor power, which adds the server; it signs in with OAuth on first use.

Tools you will use

The snapvisor MCP server has two tools: snapvisor:search_tools (find operations and their inputs; call it first, for example with change, test, ignore) and snapvisor:execute_typescript (run a short program calling the declared external_* functions, which are already in scope; the program must return its result).

If the connection lists the operations by name instead (the per-tool surface), call them directly without the external_ prefix.

Operations this skill uses (confirm with snapvisor:search_tools):

• external_listBuildDiffs: diffs in a build; each carries its test and its change, whose id is what the ignore operations take.
• external_ignoreChange and external_unignoreChange: mark one change ignored or restore it, by changeId.
• external_listTests: tests in a project.
• external_getTest: one test with its flakiness metrics for a metricsPeriod (LAST_24_HOURS up to LAST_90_DAYS).
• external_listTestChanges: a test's changes; filter with ignored.
• external_listIgnoredChanges: changes currently ignored in a project.

Workflow

1. Identify the build and the change the user means. Call external_listBuildDiffs and match on the screenshot name. If more than one diff matches, list them and ask which one.
2. Before ignoring, fetch external_getTest for that diff's test with metricsPeriod: "LAST_30_DAYS" so the user sees whether it really flakes.
3. Confirm: "Ignore the change on checkout/date-widget in build 42?" On a yes, call external_ignoreChange with the change id and report the result.
4. To un-ignore, find the change with external_listIgnoredChanges or external_listTestChanges with ignored: "true", confirm, then call external_unignoreChange.
5. For "which tests are flaky", list the project's tests, fetch external_getTest for them in one program with await Promise.all, and return them sorted by their flakiness metric. Report the top ones with their numbers.

Code Mode pattern

const tests = await external_listTests({ owner, project });
const detail = await Promise.all(
  tests.results.slice(0, 25).map((t) =>
    external_getTest({ owner, project, testId: t.id, metricsPeriod: "LAST_30_DAYS" })
      .catch((e) => ({ id: t.id, error: String(e) })),
  ),
);
return detail;

Check the real field names in the snapvisor:search_tools declarations before relying on them. Errors read <CODE>: <details>.

Rules

• Ignore one change at a time, each after a confirmation. Never ignore every diff in a build to make it pass.
• Do not approve or reject builds from this skill; hand off to reviewing-visual-builds.
• Report only metrics the operations returned. If a test has no flakiness data for the period, say so.