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boundary-case-check

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更新时间2026年7月12日 23:11

For any rule-like deliverable — code, regex, query, formula, validator, policy — enumerate the boundary inputs (empty, zero, one, max, duplicate, malformed, hostile) and actually exercise the most breakable three before shipping. Activate when the deliverable is executable or rule-like and will meet inputs the author didn't type.

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ralfyishere

ralfyishere/piensalo

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在 Manus 中运行

boundary-case-check

Trigger (observable): The deliverable is executable or rule-like: a function, regex, SQL query, spreadsheet formula, matching rule, allowlist/denylist, or threshold policy that will meet inputs the author didn't type.

When NOT to activate: Pure prose deliverables with no input domain; throwaway one-off commands already run against their only real input; boundaries already covered by an existing executed test suite named in the session.

Procedure

Write down the input domain the artifact will actually face — types, ranges, encodings, adversarial sources — not just the examples in the prompt.
Enumerate boundary candidates mechanically: empty, zero, one element, duplicates, maximum size, negative, unicode/odd encoding, wrong type, and (for guards/filters) the hostile input designed to slip through.
Rank by breakage likelihood and pick the top three.
Exercise them for real — run the code, test the regex against the string, execute the query on edge rows. A predicted outcome is not a result; quote actual output.
Report the three outcomes with the artifact; fix or scope-document any failure before shipping.

Required output

Three named boundary cases with actual (not predicted) outcomes, attached to the deliverable; failures fixed or the artifact's valid domain narrowed explicitly.

Verification

Three or more boundary cases were actually executed, with quoted real output.
Each failing boundary case is fixed or converted into an explicit stated domain restriction — never left as a silent gap.

Known risk: False confidence from testing three convenient edges rather than the three most breakable ones. Mitigation: the ranking step, plus one hostile case being mandatory for guards.

Max intended cost: ≤250 added output tokens; three real executions.

Evidence status: EXPERIMENTALLY_TESTED — micro-skill repair content lifted a weak model on procedural tasks in controlled runs; the effect is task-concentrated, and automatic router selection of micro-skills is a separate, unproven layer.

Lineage: Derived from two documented reasoning-failure modes: stopping at a plausible-looking result without exercising it, and verifying syntax while leaving semantics untested.

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name	boundary-case-check
description	For any rule-like deliverable — code, regex, query, formula, validator, policy — enumerate the boundary inputs (empty, zero, one, max, duplicate, malformed, hostile) and actually exercise the most breakable three before shipping. Activate when the deliverable is executable or rule-like and will meet inputs the author didn't type.
license	MIT

boundary-case-check

Procedure

Write down the input domain the artifact will actually face — types, ranges, encodings, adversarial sources — not just the examples in the prompt.
Enumerate boundary candidates mechanically: empty, zero, one element, duplicates, maximum size, negative, unicode/odd encoding, wrong type, and (for guards/filters) the hostile input designed to slip through.
Rank by breakage likelihood and pick the top three.
Exercise them for real — run the code, test the regex against the string, execute the query on edge rows. A predicted outcome is not a result; quote actual output.
Report the three outcomes with the artifact; fix or scope-document any failure before shipping.

Required output

Three named boundary cases with actual (not predicted) outcomes, attached to the deliverable; failures fixed or the artifact's valid domain narrowed explicitly.

Verification

Three or more boundary cases were actually executed, with quoted real output.
Each failing boundary case is fixed or converted into an explicit stated domain restriction — never left as a silent gap.

Known risk: False confidence from testing three convenient edges rather than the three most breakable ones. Mitigation: the ranking step, plus one hostile case being mandatory for guards.

Max intended cost: ≤250 added output tokens; three real executions.

Lineage: Derived from two documented reasoning-failure modes: stopping at a plausible-looking result without exercising it, and verifying syntax while leaving semantics untested.