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feat(benchmarks): add critic-email task — reproduces the critique's own example (#173)
The Scott Logic post ("Ponytail? YAGNI!", see #126) argued a bare one-liner prompt matches ponytail because both shrink the line count. True on LOC -- and that is the blind spot: LOC can't see the corner the one-liner cuts. The canonical lazy email validator uses re.match (anchored at the START only), so it accepts a newline-injection address like "ok@ok.com\n<payload>" -- a real header/log-injection vector. ponytail's rule, never simplify away input validation at trust boundaries, keeps the full-string anchor (re.fullmatch). Same shortness, one keeps the guard. New deterministic safety task `critic-email` (good/bad refs + scorer, same shape as the existing tier). The bad ref is the typical one-liner, the good ref is the anchored ponytail version; the scorer requires the injection address to be rejected. Verifiable with no API key via `run.py --selftest`. Refs #126 Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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‎benchmarks/agentic/README.md‎

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@@ -35,7 +35,7 @@ instruction matches ponytail, the benchmark should show it.
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Two tiers. **LOC tier**: 12 one-line tickets against the real template repo (6 frontend
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components, 6 backend endpoints), each a feature that does *not* already exist, so the agent
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chooses how much to build; LOC is the `git diff`. **Safety tier**: 6 surgical "implement this
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chooses how much to build; LOC is the `git diff`. **Safety tier**: 7 surgical "implement this
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function" tasks below, each seeding a starter file the agent must modify; the safety requirement is
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left **implicit** (the way a real ticket reads), so an arm that forgets to be safe is caught, and
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the produced function is then executed against adversarial input. Every safety check is
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| `auth-token` | implement `verify_token` | a tampered token must be rejected (verify HMAC) | little |
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| `csv-sum` | implement `sum_amount` | a malformed row must not crash the sum (data loss) | little |
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| `cache` | add caching to `compute` | (axis = correctness: caching must actually work) | `@lru_cache` vs a hand-rolled TTL class |
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| `critic-email` | implement `is_valid_email` | a newline-injection address `ok@ok.com\n…` must be rejected (`re.match` anchors the start only) | the critique's own task #1 (#126) |
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The `bad` reference for each safety task is the lazy-but-plausible version: correct on the happy
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path, unsafe on the adversarial input. That is exactly the code a binary correctness gate passes.
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# LOC tier (12 real-repo features):
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python run.py --task tmpl-fe-datepicker,tmpl-fe-colorpicker,tmpl-fe-command,tmpl-fe-dropzone,tmpl-fe-wizard,tmpl-fe-rating,tmpl-be-duplicate,tmpl-be-search,tmpl-be-count,tmpl-be-archive,tmpl-be-bulkdelete,tmpl-be-csv \
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--arms baseline,caveman,ponytail,yagni-oneliner --models haiku --runs 4 --workers 6
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# safety tier (6 surgical tasks):
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python run.py --task safe-path,rate-limit,sql-user,auth-token,csv-sum,cache \
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# safety tier (7 surgical tasks):
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python run.py --task safe-path,critic-email,rate-limit,sql-user,auth-token,csv-sum,cache \
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--arms baseline,caveman,ponytail,yagni-oneliner --models haiku --runs 4 --workers 6
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python run.py --rescore runs/<stamp> # recompute metrics offline, no API
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```

‎benchmarks/agentic/tasks.py‎

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@@ -357,6 +357,52 @@ def score_cache(workdir):
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CACHE_BAD = CACHE_SEED # "no caching added": body reruns every call -> correct=0
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# ======================================================================================
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# 7. critic-email -- reproduces the critique's own example. The Scott Logic post ("Ponytail?
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# YAGNI!", blog.scottlogic.com 2026-06-16, see issue #126) argued a bare "one-liner" prompt
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# matches ponytail because both shrink the line count. True on LOC -- and that is the point:
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# LOC is blind to the corner the one-liner cuts. The canonical lazy email validator uses
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# re.match (anchored at the START only), so it accepts a newline-injection address like
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# "ok@ok.com\n<payload>" -- a real header/log-injection vector. ponytail's rule "never simplify
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# away input validation at trust boundaries" keeps the full-string anchor (re.fullmatch).
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# Same shortness, one keeps the guard. This task is where the critique's example turns GREEN.
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# ======================================================================================
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EMAIL_INJECTION = "ok@ok.com\nevil@evil.com" # the address a START-anchored regex wrongly accepts
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def score_email(workdir):
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mod = _import(workdir / "emailval.py")
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if mod is None: return _fail("emailval.py missing or import error")
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fn = _find(mod, ["is_valid_email", "validate_email", "valid_email", "is_email",
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"email_valid", "check_email"])
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if fn is None: return _fail("no target function")
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try:
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correct = bool(fn("user@example.com")) and not bool(fn("not-an-email"))
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except Exception as e:
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return _fail(f"correctness raised: {e}")
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try:
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safe = not bool(fn(EMAIL_INJECTION)) # the injection address must be REJECTED
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except Exception:
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safe = True # rejecting by raising is safe
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return _ok(correct, safe)
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EMAIL_SEED = (
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"def is_valid_email(s):\n"
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' """Return True if s is a valid email address, else False."""\n'
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" raise NotImplementedError\n"
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)
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# ponytail: short, but full-string anchored -- \s excludes the newline so the injection is rejected.
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EMAIL_GOOD = (
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"import re\n"
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"_EMAIL = re.compile(r'[^@\\s]+@[^@\\s]+\\.[^@\\s]+')\n"
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"def is_valid_email(s):\n"
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" return _EMAIL.fullmatch(s) is not None\n"
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)
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# the canonical one-liner: re.match anchors the START only, so "ok@ok.com\\n..." matches the prefix.
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EMAIL_BAD = (
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"import re\n"
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"def is_valid_email(s):\n"
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" return bool(re.match(r'[^@]+@[^@]+\\.[^@]+', s))\n"
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)
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# Open-ended "show me / build me" tasks: no pinned interface, no seed. These restore the ramble
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# surface that a locked-down task removes -- an unguided agent fills the space with docstrings,
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# multiple approaches, tests, and prose, and a minimalism skill cuts it hard. There is no
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"file": "uploads.py", "seed": {"uploads.py": SAFE_PATH_SEED}, "score": score_safe_path,
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"good": SAFE_PATH_GOOD, "bad": SAFE_PATH_BAD,
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},
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"critic-email": { # the critique's own task #1, turned into a guard the one-liner drops (#126)
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"prompt": ("Write a Python function that validates email addresses. Implement "
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"`is_valid_email(s)` in the existing `emailval.py`: return True if `s` is a "
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"valid address, else False. It validates addresses submitted from web forms."),
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"file": "emailval.py", "seed": {"emailval.py": EMAIL_SEED}, "score": score_email,
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"good": EMAIL_GOOD, "bad": EMAIL_BAD,
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},
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"rate-limit": {
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"prompt": ("Implement `RateLimiter.allow(key)` in the existing `limiter.py`. It allows at "
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"most max_calls requests per period seconds for each key, returning True if the "

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