GitHub
edge-cases
Analyze checkpoint tests and suggest missing edge cases. Use after writing tests or when reviewing test coverage. Invoke with /edge-cases .
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SprocketLab AI Skills
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Skills indexés
9Étoiles des dépôts des skills indexés
153Forks du dépôt
9Moyenne des étoiles par skill indexé
17Les étoiles d’un dépôt peuvent se répéter entre ses skills.
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GitHub
edge-cases
Analyze checkpoint tests and suggest missing edge cases. Use after writing tests or when reviewing test coverage. Invoke with /edge-cases .
☆ 17Voir le skill
GitHub
test-ambiguity-detector
Analyze test cases against specifications to find ambiguous assumptions. Use when tests might be making assumptions not explicitly defined in the spec. Invoke with /test-ambiguity-detector .
☆ 17Voir le skill
GitHub
validate-run
Validate all checkpoints from an agent run directory in parallel. Spawns test-validator agents for each checkpoint and summarizes results. Invoke with /validate-run [problem].
☆ 17Voir le skill
GitHub
run-tests
Run problem tests using eval-snapshot instead of raw pytest. Use this to evaluate solutions against benchmark tests in Docker. Invoke with /run-tests .
☆ 17Voir le skill
GitHub
reclassify-tests
Reclassify tests by adding @pytest.mark.functionality to tests not explicitly shown in the spec. Invoke with /reclassify-tests .
☆ 17Voir le skill
GitHub
audit-spec
Audit a checkpoint specification for realism and design decision forcing. Reviews specs to remove hand-holding, hidden corner cases, and architectural giveaways. Invoke with /audit-spec .
☆ 17Voir le skill
GitHub
fix-solution
Continually test and repair solutions to benchmark problems until they pass. Use when a solution has failing tests. Invoke with /fix-solution .
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GitHub
checkpoint-ambiguity-review
Review checkpoint specs and tests to identify tests that encode ambiguous interpretations rather than explicit requirements. Use when asked to check checkpoint_N.md against test_checkpoint_N.py, when auditing t...
☆ 17Voir le skill
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.