datalens-dataset-wizard

datalens-dataset-wizard is a skill for Claude Code, Codex from ADIKANT/datalens-dev-mcp. It costs 45 tokens per session (720 once invoked), scanned A, original, Apache-2.0.

A set of instructions for creating, editing, checking, and previewing DataLens datasets and Wizard charts. A dataset is organised data, while a Wizard chart is a standard visualisation built from it.

In plain words
What is it for?
Use it to create datasets, bind fields to chart roles, preview data, and validate Wizard charts.
Why use it?
It helps keep field identifiers and calculation types correct, avoiding broken links between data and charts. It also separates preview checks from the final provider acceptance and rendered result.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create datasets, bind fields to chart roles, preview data, and validate Wizard charts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/adikant/datalens-dev-mcp/datalens-dataset-wizard
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ADIKANT/datalens-dev-mcp --skill datalens-dataset-wizard
Clone the repo
git clone --depth 1 https://github.com/ADIKANT/datalens-dev-mcp

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for datalens-dataset-wizard

README.md
[![agentmods](https://agentmods.dev/badge/skills/adikant/datalens-dev-mcp/datalens-dataset-wizard/github.svg)](https://agentmods.dev/skills/adikant/datalens-dev-mcp/datalens-dataset-wizard)
Your own site
<a href="https://agentmods.dev/skills/adikant/datalens-dev-mcp/datalens-dataset-wizard"><img src="https://agentmods.dev/badge/skills/adikant/datalens-dev-mcp/datalens-dataset-wizard/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for datalens-dataset-wizard

Your own site · 80×15
<a href="https://agentmods.dev/skills/adikant/datalens-dev-mcp/datalens-dataset-wizard"><img src="https://agentmods.dev/badge/skills/adikant/datalens-dev-mcp/datalens-dataset-wizard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 720 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.00720
Opus 5.5 $0.00018 $0.00288
Sonnet 5.5 $0.00009 $0.00144
Haiku 4.5 $0.00005 $0.00072

Measured 17d ago against content hash 4ee8fb03a9cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

datalens-dataset-wizard scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 17d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/datalens-dataset-wizard/SKILL.md · 28 lines

What it actually says

DataLens Dataset and Wizard

Work from the exact dashboard project/subproject. A description-only edit needs a narrow patch and saved readback. Field, formula, filter or source changes also need applicable field validation and bounded data preview; JSON alone cannot prove metric meaning. Use Dataset/Wizard contracts for typed drafts, field roles, preview and revision-safe updates. Use current field GUIDs; ambiguous labels cannot identify fields. Preserve dataset-global versus chart-local fields, calculation levels, field order and the existing object's technology. Choose technology and source using the project-first order; a JavaScript request alone does not exclude an existing Dataset.

For a new metric or upstream-dependent field, first follow current source readiness. A merged change or green CI does not prove that this connection exposes the field or data. Complete independent authorized edits while naming the dependent remainder.

New typed Wizard drafts resolve the same profile as recipes. Pass wizard.project_root for local overrides and wizard.presentation only for explicit exceptions; wizard.family retains a chosen family. Readback dataset_fields on the draft enables complete local SDK payload validation before create. Labels are actual measure roles, grids default off (including y2), and titles belong in Dashboard widgets. Supported grid overrides need no justification. Default palette collisions resolve deterministically; larger series sets receive an advisory. Use measure_colors keyed by GUID for meaningful series roles; preserve those identities across filters/periods. Default single-series bars use one color and category labels. Chart descriptions are not widget hints.

A new dataset draft keeps object_type, name and client_ref at its root; connection_id, source and fields belong inside dataset. Use typed public operations; the backend compiles against its pinned SDK. Measure Names and Measure Values are chart technical fields, not physical columns.

Follow authorized scope and delivery. Load visualization decisions only for the relevant semantic choice. Preview establishes bounded data evidence; provider acceptance and rendered results require their own checks.

Route placement to datalens-dashboard, JavaScript variants to datalens-editor, metadata or RLS identity lookup to datalens-inspect, and backup/cleanup to datalens-maintenance.

For unknown effects follow repeat-effect recovery: only proven non-application or separate informed repeat authorization permits another attempt. Failed reconciliation, absent inventory and a new operation_id do not make a retry safe.

Treat write_verified, dataset_validation, bounded data preview and Browser rendering as separate evidence. An invalid saved Dataset is not task success; metadata-only repairs may preserve pre-existing invalid state, but newly changed fields must pass prospective title/GUID validation before a batch writes. If a required upstream field is not exposed, finish independent metadata work and mark the dependent part blocked; do not wait for a merge or substitute a source.

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 17d ago Changed 4ee8fb03a9cf
  2. 22d ago Changed · +7 lines 1fd711fe3c7c
  3. 1mo ago Changed · +2 lines 8af57665b7dc
  4. 1mo ago Changed · +2 lines b30a9a12ffe7
  5. 1mo ago Changed · +2 lines 68ddb8960414
  6. 1mo ago Changed 95926b9eaed8
  7. 1mo ago Changed · -4 lines · +18 tokens per session cd5c8e039e95
  8. 1mo ago Changed · +2 lines 5ed2f6980515
  9. 1mo ago Changed · +4 lines d7603a0b86de
  10. 1mo ago First seen · 13 lines · 27 tokens per session scan A f4f53e42c158

Subscribe to this mod's changes

datalens-dataset-wizard is a skill published in the GitHub repository ADIKANT/datalens-dev-mcp (7 stars, last pushed 11d ago), licensed Apache-2.0. It adds 45 tokens to every session and 720 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-08.

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