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Problem-solving strategies for matrices in linear algebra
Passed 8 of 16 test cases with the skill, and 2 of 16 without it.
and 5 more in the full report
8 fixed3 passed either way11 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
Provide the exact command line using uv run python to compute the determinant of [[a,b],[c,d]].
| Checked | Without skill | With skill |
|---|---|---|
| The response includes the execution invocation uv run python -m runtime.harness scripts/sympy_compute.py det. | Missed | Passed |
The instructions your model reads when the skill loads.
Use this skill when working on matrices problems in linear algebra.
Identify Matrix Type
sympy_compute.py matrix_typeBasic Operations
sympy_compute.py matmul "A" "B"sympy_compute.py inverse "A"sympy_compute.py transpose "A"Solve Linear Systems
sympy_compute.py linsolve "A" "b"z3_solve.py satDecompositions
sympy_compute.py lu "A"sympy_compute.py qr "A"sympy_compute.py svd "A"uv run python -m runtime.harness scripts/sympy_compute.py inverse "[[1,2],[3,4]]"
uv run python -m runtime.harness scripts/sympy_compute.py det "[[a,b],[c,d]]"
test cases passed, vs 2 / 16 without
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