Test a Grok Bot workflow before you trust it: a scorecard you can copy

A Grok Bot workflow is ready when it passes checks you wrote down before the first run, not when the Bot says it is done. Build a few cases with known answers, score every run on five criteria, then test the scheduled version separately, because a routine can fail in ways a chat test never shows.

At a glance#

The scorecard in this guide is our own framework. It is not a SpaceXSI benchmark or a certification, and it is not evidence of measured Grok Bot performance.

Why a finished message proves nothing#

The official docs point you toward reviewable artifacts and testing before you automate. Their skills and routines guidance gives a minimum review for every test run: did the Bot pick current inputs, match the requested format, leave an audit trail, stop at the approval point you intended, and report failures openly?

Treat those five questions as the floor. A Bot can tick all of them and still miss half the items you needed, which is why the scorecard below adds completeness and usability on top.

Build the test set before the first run#

1. Pick cases a human can settle#

Choose inputs where you can establish the right answer yourself. For an action-item extractor, use notes with clear owners, notes with fuzzy ownership, and notes with no actions at all. For a reconciliation, include one clean match, one deliberate mismatch and one missing record.

2. Cover four input shapes#

• A normal input.
• An ambiguous input.
• An empty input.
• A case where the source is unavailable.

3. Write the answers down first#

Record the expected output for each case before the Bot sees it. Write three to five acceptance checks specific to the job. If you skip this, the first convincing answer becomes the definition of correct.

4. Run with safe permissions#

Use safe or synthetic records and preparation-only access, with any write action swapped for a draft or a test label. Our permissions guide shows how to set Ask first rules so a test cannot touch anything real. A clear workflow brief makes the checks easier to write.

The copy-paste scorecard#

Score each case on five criteria. Every cell gets one of three values: Pass, Fail or N/A (not assessable). Write the reason next to the score. N/A is a real result when the source cannot establish the truth, but it never counts as a pass.

Paste this into a doc or spreadsheet and fill one row per case:

| Case | Input type | Correctness | Completeness | Traceability | Boundaries | Usability | Reason / notes | Review time (min) |

|------|------------|-------------|--------------|--------------|------------|-----------|----------------|-------------------|

| 1 | Normal | | | | | | | |

| 2 | Ambiguous | | | | | | | |

| 3 | Empty | | | | | | | |

| 4 | Source down| | | | | | | |

Values: Pass / Fail / N/A (N/A never counts as Pass)

Workflow version: ______ Date: ______ Scored by: ______

Revision rule: fix the method, then rerun every failed case plus one case that passed.

Track review time on its own. Compare your verification and correction minutes with doing the task by hand, including setup and maintenance. If you ever publish a time-saved claim, state how you measured it and the sample size.

Drill a bulk action before it touches real records#

SpaceXSI's October 20 post describes IncidentSweep, a Bot its support team runs after an incident. An engineer defines which tickets to include and exclude and the exact message. The Bot sets aside tickets it cannot confidently connect, shows the batch and message for approval, sends in small batches while logging each action, never adds tickets after approval, and stops and reports if something fails.

A companion Bot, IncidentWatch, checks the last 15 minutes of tickets every five minutes and alerts the on-call engineer with the issue, a count and examples. SpaceXSI says IncidentSweep cleared 204 tickets in about 10 minutes on September 18 with an engineer approving the batch. That is the vendor's number, not one we measured.

Each of those properties can be tested. Our drill list, run on synthetic records with the send replaced by a draft:

1. Exclusion. Plant a record that matches an exclude rule. Pass only if it never enters the proposed batch.
2. Partial match. Plant a record that only half fits. Pass only if it lands on the set-aside list with a reason.
3. Frozen batch. After approving, add a new matching record. Pass only if it is flagged for a later decision and left alone.
4. Exact text. Compare every drafted message with the approved text, character for character.
5. Forced failure. Point one action at a record ID that no longer exists. Pass only if the run stops and lists what finished, what failed and what was never attempted.
6. Audit trail. Pick three records at random. Each needs a logged action, time and result.

Score the routine, not just the chat run#

A workflow that passes in chat can still fail on a schedule. Our skills vs routines guide covers the build side; these are the facts that change how you score:

• Test runs are real. Test performs real work and spends usage, so use safe inputs and keep writes behind approval.
• No run on creation. A new routine waits for its next scheduled time. Check that first unattended run as closely as the test.
• History is short. Each routine keeps only its 20 most recent run records, and Run history on the phone shows Running, Succeeded or Failed, not whether the output was right.
• Webhooks lie by omission. Cursor's help notes a 200 response means the run started, not that it finished.
• Approvals expire. Approvals raised by routines, triggers or other Bots expire after about 30 minutes, per Cursor's how-to help and the official docs checked October 29. The action does not run. Score that as a fail.
• Rate limits. Routines can run up to 300 times an hour in total and 200 per routine. Past either, the run fails with "Automation run rate limit exceeded". A five-minute check uses 12 runs an hour.
• Sign-in stalls. Since 0.71.2 a routine that needs a site login asks in chat at that step; since 0.75.2 a signed-out connector shows a Reconnect card at most once a day. Either way the job did not finish.
• Drafts are not deliveries. Since 0.75.5, sends on routine turns still wait as drafts. A run that ends on a pending draft has delivered nothing yet.

Record weekly usage before and after a few runs too. Frequent schedules and busy Slack triggers can eat a large share of the allowance; see usage limits. If runs fail outright, the routines-not-running guide has the fixes.

Common mistakes#

• Scoring after reading the output. Your expectations drift toward whatever the Bot produced.
• Counting N/A as a pass. If you cannot verify it, you do not know it worked.
• Fixing the prompt mid-run. Score the whole set first, then revise.
• Retesting only the failures. Always rerun one previously passing case to catch regressions.
• Trusting run status. Succeeded means the run completed, not that the answer was right.
• Ignoring review time. A workflow that saves ten minutes of machine work and costs forty of checking is a loss.

Ask the Bot for a review packet#

Let the Bot gather the evidence while you keep the judgment. Paste this at the end of a test run:

Before you finish, give me a review packet for this run:

1. The exact input scope you used (files, record IDs, date range).
2. Links or IDs for every source you relied on.
3. The final artifact.
4. Each check you performed and its result.
5. Anything you were unsure about or could not verify.
6. Every action you took outside this chat, with time and outcome.

Score the output against these criteria: [paste acceptance checks].

Mark any criterion you cannot assess as N/A instead of assuming it passed.

Do not claim time saved or production readiness.

Give me enough detail to spot-check a sample myself.

Then retest whenever a website, source format, connector or instruction changes, keeping the last accepted result for comparison. Promote in steps: useful draft, repeatable draft, supervised action, and only then the specific unattended behavior you chose to allow.

Our take#

Write your answers down before the Bot runs, and keep your own log of accepted outputs, because the product's run history will not tell you whether anything was right. Treat every expired approval, rate-limit hit and pending draft as a failure, not noise. A workflow earns unattended status only after its scheduled runs pass the same scorecard as its chat runs.

Frequently asked questions#

How many test cases do I need to evaluate a Grok Bot workflow?#

Start with four: a normal input, an ambiguous one, an empty one and a case where the source is unavailable. Add three to five acceptance checks specific to the job. A small set like this exposes obvious failure modes quickly, but it does not prove the workflow handles every situation, so keep adding cases as real failures show up.

Does a Succeeded routine run mean the output was right?#

No. The phone app's Run history shows Running, Succeeded or Failed, which tells you the run completed, not whether its result was correct. For webhook triggers, Cursor's help says a 200 response only means the run started. Keep your own record of accepted outputs and compare new runs against it, since each routine keeps only its 20 most recent run records.

What should count as a failed run?#

Anything that did not deliver the result you needed. That includes an approval that expired after about 30 minutes, a run that hit the Automation run rate limit exceeded error, a routine stopped at a sign-in prompt or Reconnect card, and a send that is still sitting as a draft. Score not assessable separately, and never count it as a pass.

Can I trust SpaceXSI's IncidentSweep numbers for my own workflow?#

Treat them as the vendor's own figure. SpaceXSI reports that IncidentSweep cleared 204 tickets in about 10 minutes on September 18 with an engineer approving the batch. That shows the pattern can work, not that your version will. Run your own scope, uncertainty, frozen-batch, exact-text, failure and audit-trail tests on safe records first.

When should I retest a workflow that already passed?#

Whenever something it depends on changes: a website layout, a source format, a connector, the Bot's instructions or a skill. Rerun the cases tied to that dependency plus one case that previously passed, and compare against the last accepted result. The official skills and routines docs make the same recommendation for routines.