GraphSheets bronze

List models

The models this token can see: uid, title, head hash, when last changed, and the verification rung each is on. Send a data part {"skill": "list-models", "arguments": {…}}; the arguments are the `model_list` tool's.

• {"skill":"list-models","arguments":{}}

Model overview

The model at a glance: title, axis, scenarios, sections with node counts, ledgers, whether uncertainty is declared, the verification rung, check status per scenario and lint counts. Call this first. Send a data part {"skill": "model-overview", "arguments": {…}}; the arguments are the `model_overview` tool's.

• {"skill":"model-overview","arguments":{"model":"model_…"}}

Search a model

Find nodes by a word in their name, title, description, source, unit or formula, optionally restricted to a kind (input, calculated, constant, check, ledger). Returns declarations, not values. A kind with no query lists every node of that kind. Send a data part {"skill": "search-model", "arguments": {…}}; the arguments are the `model_search` tool's.

• {"skill":"search-model","arguments":{"model":"model_…","query":"revenue"}}

Read values

Evaluated values for named nodes across the axis in a scenario, actuals overriding where present. Errors appear as their code (#REF, #DIV/0). A node whose title carries references (`{{fiscal.royalty_threshold}}`) has it worked out in that scenario under `titles`, as the reader sees it. Ask for the nodes you need, not the model. Send a data part {"skill": "read-values", "arguments": {…}}; the arguments are the `values_get` tool's.

• {"skill":"read-values","arguments":{"model":"model_…","nodes":["income.revenue"],"scenario":"base"}}

Explain a figure

Why a value is what it is: the evaluation trace behind one node in one period — its formula, each input's value and whether it came from a formula, an input, an actual override or an error. `depth` follows the trail further. Send a data part {"skill": "explain-figure", "arguments": {…}}; the arguments are the `explain` tool's.

• {"skill":"explain-figure","arguments":{"model":"model_…","node":"income.profit","period":"2026-03"}}

Verify a model

Run the verification ladder on the model as it stands: validation issues, every lint finding with its rule and node, every check per scenario with its failing periods, the rung, and `connectivity` — the inputs nothing reads, the inputs with no values, the calculated rows nothing reads or shows, the ledger columns no formula reads, and the rows of reported history nothing reads — which is whether the graph runs from inputs through formulas to outputs. `severalRates` lists any IRR whose cashflows have more than one rate, with every rate and the one the row shows. A row named as the model's answer, one `risk_set` reports, one a statistic asks about and one a scoped check covers are all read or shown, so none of them is listed. The authoritative answer to 'what is wrong'. Send a data part {"skill": "verify-model", "arguments": {…}}; the arguments are the `verify` tool's.

• {"skill":"verify-model","arguments":{"model":"model_…","onlyFailing":true}}

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