convert_spreadsheet

shallow

io.github.vlad-public-code/valem · Verify this server

Compile an uploaded .xlsx workbook's OWN formulas into a ready ModelSpec — deterministic transpilation (Excel formula language -> JSONata), never an LLM call: every number the compiled spec computes is checked to exactly match what the source workbook itself computed. One worksheet, one header-row table, a bounded numeric/boolean function set (IF/AND/OR/NOT/ROUND/ABS/SUM/AVERAGE/MIN/MAX/COUNT) — anything else (VLOOKUP, cross-sheet refs, non-uniform per-row formulas, …) is named and reported in rejectedColumns rather than guessed; the rest of the sheet still compiles. The returned spec is NOT yet registered — review it, then call create_model yourself.

100.0/100

1 trials · measured 15 days ago

convert_spreadsheet scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.vlad-public-code/valem, measured 6 Oct 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
self-provisionable
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-10-06100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: convert_spreadsheet
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convert_spreadsheet — Vouch