About captain-obvious
Captain Obvious is a skill for reviewing and cleaning test suites with scripts that identify tests unable to catch regressions. It is for developers maintaining TypeScript, JavaScript, or Python projects, and separates deterministic removals from cases requiring human review.
Key features
- 01Scan TypeScript, JavaScript, and Python tests
- 02Identify proven and advisory findings
- 03Safely delete proven useless tests
- 04Apply a review gate to new or changed tests
- 05Require type checks and the full test suite
Use cases
- 01Remove assertions that cannot detect regressions
- 02Review ineffective checks in AI-generated tests
- 03Evaluate the distinct behavior protected by a new test
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ shmulc8/ captain-obvious --skill captain-obviousAfter installing, type/captain-obviousin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
references/detectors.mdprevention.mdscripts/captain_obvious_py.pycaptain_obvious_ts.mjsscripts/co_py/__init__.pyanalyzer.pyast_utils.pycoverage.pydiscovery.pyduplicates.pyfixer.pygitguard.pymodels.pymypy_pass.pyscripts/co_ts/analyzer.mjsast_utils.mjsclassifier.mjscoverage.mjsdiscovery.mjsduplicates.mjsexpect_parser.mjsfixer.mjsgitguard.mjslaundering.mjsmock_echo.mjstype_predicates.mjsDetails
From the project READMECaptain Obvious
Deletes tests that assert what is already guaranteed — by the compiler, by the mock framework, or by the laws of logic. These tests burn CI time, inflate coverage confidence, and can never catch a regression. They are the signature of AI-generated test suites (empirical studies find test smells in 38–100% of LLM-generated tests).
For cleanup, two deterministic scripts in scripts/ do the heavy lifting.
Run them, interpret the report, clean up the residue, and verify nothing broke.
Do not hand-scan test files or spawn subagents per file — one script
invocation scans the whole project. During test authoring, use the gate below
without running a cleanup scan.
Authoring gate
Before adding or changing a test, answer four questions:
- What observable behavior or independent contract does it protect?
- What plausible regression would make it fail for the intended reason?
- Is that contract already covered at a stronger boundary? If so, what distinct risk does this test cover?
- Does it require a production export, flag, wrapper, or injection hook used only by tests? Can the real entry point be tested instead?
If a new bug regression test can be run safely against the pre-fix baseline,
verify that it fails for the intended reason and passes with the fix. Use
references/prevention.md for examples of patterns to avoid. A test need not
contain a direct assertion to be valuable: a deliberate must-not-raise test
can guard a real contract.
Workflow
1. Detect the stack(s)
- TypeScript/JavaScript:
*.test.*/*.spec.*(ts, tsx, mts, cts, js, jsx, mjs, cjs) or files under__tests__; atsconfig.jsonenables type checks. - Python:
test_*.py/*_test.pyfiles (pytest or unittest). - A repo can have both; run both detectors.
2. Safety first
The fix step edits test files in place. Both scripts enforce this themselves:
--fix exits 2 unless the target is a git repository with a clean working
tree (untracked files are fine). If it refuses, stash or commit rather than
reaching for --force — --force removes the only undo path there is
(git checkout -- <files>), so use it only when the user has explicitly
accepted that.
Trust boundary: scanning executes the project's own toolchain. mypy loads
[tool.mypy] plugins from the repo's config as in-process Python;
--mypy "uv run mypy" / "poetry run mypy" resolve (and can run) the
repo's dependencies; the TS side loads the repo's own typescript
package. Run the scan only on repositories you would be willing to run
mypy/tsc in yourself.
Note: when installed as a plugin, a write-time PreToolUse hook may also be
active — if a test-file Write/Edit is denied with a "captain-obvious:"
reason during cleanup rewrites, fix the flagged assertions instead of
re-trying the same content (see references/prevention.md). Both scanners
also support --file <path> [--stdin] for a syntactic-only single-file
scan (JSON to stdout; no mypy/tsc, no side effects).
3. Scan (report-only)
node <skill-dir>/scripts/captain_obvious_ts.mjs --project <repo> --json /tmp/co-ts.json
python3 <skill-dir>/scripts/captain_obvious_py.py --path <repo> --json /tmp/co-py.json
- The Python detector shells out to mypy for the type-guaranteed category. Use
the project's own environment: pass
--mypy "uv run mypy"for uv projects,--mypy "poetry run mypy"for poetry, etc. If mypy isn't available it degrades gracefully to the syntactic categories. - Note: the mypy pass briefly writes
_cap_obv_shadow_*copies next to test files (removed when the run ends) — so a "report-only" scan does touch the working tree. Pass--no-typesfor a strictly read-only scan; if the tree is not writable the scan degrades to syntactic categories and says so. - The TS detector resolves the project's own
typescriptpackage; without a tsconfig it degrades to syntactic categories. - If the project already produces coverage (or you can cheaply run it),
pass
--coverage <file>(lcov / istanbulcoverage-final.json/ coverage.pycoverage json). This is the dynamic half of the ICSE'19 rotten-green analysis: aconditional-assertwhose line never ran is promoted to proven rotten, and one that did run is dropped as a confirmed false positive. It turns the noisiest advisory category into a trustworthy one — use it whenever coverage is available.
Show the user the summary table and the findings before deleting anything.
3a. Check test value beyond the scanner
The scripts find mechanical patterns; they cannot decide whether a test owns a useful contract or merely repeats another test. For a focused manual audit, apply the authoring gate to each review lead or advisory before changing it.
Look especially for expectations copied from the implementation, source-text greps, fixtures or mocks that manufacture the asserted result, and negative controls that pass because an unrelated guard rejects the input. These are review leads, not new proven scanner categories. Read the complete test, the production path, overlapping tests, and relevant history before deciding. Keep tests that independently lock a public API, protocol, security boundary, platform behavior, or release artifact, even if they inspect source or run slowly. A behavior-preserving refactor breaking a test is a reason to examine it, not sufficient evidence to delete it.
Before a manual deletion or rewrite, record the test and location, what it can actually detect, the stronger remaining test (or why none is needed), non-test callers of any seam to be removed, relevant history, and the focused validation command. If the evidence is incomplete, keep the test pending investigation.
4. Understand the two levels
- proven — cannot fail, by construction. The scripts guard the known
escape hatches (
any/unknown,ascasts,!, index signatures, unchecked index access, structuralinstanceof, custom assertion helpers). Those markeddeletable: safeare auto-deleted; provenreport-onlyfindings (swallowed or missed-fail asserts) need a rewrite and--fixleaves them. - advisory — almost certainly useless but not provable (assertion-free
tests, structural instanceof, mock-echo variants, index-signature-backed
checks, rotten-green conditional asserts, unawaited async assertions). The
script never auto-deletes these, but it records exactly why each is
uncertain, plus a
deletablehint (aggressive= usually a deletion,report-only= usually needs a rewrite). That reason is a question you are equipped to answer against the surrounding code — so advisories are adjudicated by you (step 6), not dumped on the user.
See references/detectors.md for the full category catalog and the reasoning
behind each guard.
5. Fix the proven tier (deterministic)
node <skill-dir>/scripts/captain_obvious_ts.mjs --project <repo> --fix
python3 <skill-dir>/scripts/captain_obvious_py.py --path <repo> --fix
Plain --fix removes only proven findings marked deletable: safe — no
judgment required, no LLM. This is the safe deterministic core; run it first.
Proven report-only findings stay for you to rewrite in step 6.
6. Adjudicate the advisory tier (you decide, then confirm)
Advisories are the cases determinism can't settle — and that's your job, not a report line for the user. Do not just forward the list. For each advisory finding:
- Read the test and the code it exercises. The finding's
reasonfield is a pointed question — e.g. "structural instanceof — a shaped non-instance could sneak in" → check whether anything actually constructs a non-instance of that type; "mock-echo, indirect" → check whether a real code path runs between stub and assert. Apply the four value questions above before removing an advisory: identify the contract's strongest test owner and check whether this test protects a distinct failure mode. For a bug regression, confirm that the test fails on the pre-fix behavior for the intended reason when a safe baseline is available; a mock that merely produces the expected result is not proof. - Decide one of: delete (the doubt doesn't hold — it really is useless),
keep (the doubt holds — it's a real check), or rewrite (the intent
is valid but the assertion is broken). Rewrite is the advisory tier's real
value: fix the unawaited
.rejects(awaitit), narrow apytest.raises(Exception)to the specific type, repair a rotten-greenconditional-assertso it actually runs. Noteno-assertfindings are smoke tests — legitimate by design (ICSE'19); default to keep unless the test clearly meant to assert something and forgot. - Propose before acting. Present a compact per-item table — finding, verdict, one-line rationale, and the exact edit for rewrites — and apply only what the user approves. Never auto-delete or auto-rewrite an advisory.
For a large advisory set, delegate the per-item code reads to a cheaper, faster subagent model (batch the findings; have it return verdict + rationale + proposed edit per item) and keep the final proposal/synthesis here — don't burn the main loop reading files one by one. The proven tier is never handed to a subagent; it's already decided.
7. Clean the residue
The scripts delete whole test blocks or individual assertion lines. That can
leave behind: unused imports/variables (noUnusedLocals will flag them),
empty describe() blocks, empty test classes, orphaned fixtures/mocks. Fix
those by hand — the typechecker output is your worklist.
8. Verify
Run the project's typecheck AND full test suite (tsc --noEmit + the test
command from package.json / pytest). Everything must pass with the same
result as before (minus the deleted tests). If anything regresses,
git checkout -- <files> and report what happened instead of pushing through.
9. Report
Tell the user: proven tests/assertions removed (per-category counts, lines saved), the advisory verdicts you applied (deleted / rewritten, with the fix), and anything you chose to keep with the reason the doubt held — that last group is the tool earning trust, not failing.
What NOT to flag (the scripts already know, but so should you)
toBeDefined()on.find()/Map.get()results — the type isT | undefined, the check is real.- Enum/constant contract locks (
expect(ExitCode.OK).toBe(0)) — they catch renumbering. - Assertions on values read from files/APIs at test time — real regression tests.
- Tests asserting via custom helpers (
expectAllow(x),self._check(...)). - "Must not raise" contract tests for fail-open code paths.
When not to run the cleanup scanner
- Mid red-green. During TDD a test is supposed to be failing, and a freshly-written test may not have its assertion yet. Use the authoring gate, but run the cleanup scanner only once the suite is green.
- On a branch under review. Scan (
--json) is fine;--fixis not. Rewriting test files while a reviewer or a merge gate is reading the diff invalidates what they reviewed. - As a coverage or CI-time optimizer. It deletes tests that cannot fail, which is a correctness argument, not a speed one. "CI is slow" is not a reason to reach for it — a slow suite full of real tests stays slow.