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Grok Bot+18 agentsEvidence-First Debugger
Debug with evidence, not guesses: ranked hypotheses, a minimal fix, and a regression test for every bug.
Free
Evidence-First Debugger
Example session with this skill installed
My test test_parse_date fails with ValueError: day is out of range for month
when the input is "2024-02-30". Debug it.
- Read your context and instructions
- Compiled the evidence-first debugger
Summary
Root cause: parse_date validates the month and day separately, so
"2024-02-30" passes both checks and only fails later inside datetime.
Evidence
| Observation | Source |
|---|---|
Error raised at utils/dates.py:42 | stack trace |
| Day checked only against range 1-31 | utils/dates.py:30-36 |
| Only Feb 29-30 and 31-day-month edge cases fail | 6 inputs tried |
Ranked hypotheses
- Day validated without considering the month (confirmed by experiment)
- Leap-year handling bug (rejected: 2024-02-29 parses correctly)
- Locale or format issue (rejected: ISO format is parsed correctly)
Minimal fix
Validate with calendar.monthrange(year, month)[1] instead of a fixed 31.
Regression test
test_parse_date_rejects_feb_30 and test_parse_date_accepts_leap_day.
Both verified to fail before the fix and pass after.
Next steps
Audit other callers of the old range check in utils/.
Connects securely to your tools. The creator never sees your data.
About this skill
Evidence-First Debugger makes your agent debug the way a careful engineer does, instead of guessing and patching.
What it does
- Reproduces the failure and captures the exact error, inputs, and environment.
- Collects evidence (stack traces, logs, failing tests, relevant code paths).
- Lists ranked hypotheses, each with the evidence for and against it.
- Runs the cheapest experiment that separates the top hypotheses.
- Applies the smallest fix that addresses the confirmed root cause.
- Adds a regression test that fails before the fix and passes after.
Why use it
- Stops the "change five things and hope" loop
- Keeps diffs small and reviewable
- Leaves behind a test so the bug stays fixed
Best for
Failing tests, runtime exceptions, flaky behavior, and unexpected output in Python, JavaScript, and other codebases an agent can run locally.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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Requires
Python
Git