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.
npx skills add ADIKANT/datalens-dev-mcp --skill datalens-maintenancegit clone --depth 1 https://github.com/ADIKANT/datalens-dev-mcpWrote 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.
[](https://agentmods.dev/skills/adikant/datalens-dev-mcp/datalens-maintenance)<a href="https://agentmods.dev/skills/adikant/datalens-dev-mcp/datalens-maintenance"><img src="https://agentmods.dev/badge/skills/adikant/datalens-dev-mcp/datalens-maintenance/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.
<a href="https://agentmods.dev/skills/adikant/datalens-dev-mcp/datalens-maintenance"><img src="https://agentmods.dev/badge/skills/adikant/datalens-dev-mcp/datalens-maintenance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00049 | $0.00360 |
| Opus 5.5 | $0.00020 | $0.00144 |
| Sonnet 5.5 | $0.00010 | $0.00072 |
| Haiku 4.5 | $0.00005 | $0.00036 |
Grade A, and why
datalens-maintenance 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 1mo 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.
What it actually says
DataLens Maintenance
Read maintenance boundaries for backup completeness, dependency previews and supported administration. For standalone HTML reports load HTML Pages; a reference describes a contract, not proof that this installation exposes it.
Work from the exact project/subproject. Inventory the requested scope completely when discovering a set or claiming a workbook-wide backup/cleanup; retain partial/unresolved results. Exact known backup targets need only their addressed readbacks. Exact known cleanup candidates need a fresh complete dependency preview and preserve checks, not an additional workbook inventory. A partial listing cannot prove absence; reuse sufficient current evidence. An administration inventory or exact Page metadata question needs only the corresponding addressed reads; it does not start a cleanup or visual cycle. Do not repeat completed cleanup merely to validate another change.
Follow authorized scope and delivery for effects and multi-object completion. Route ordinary reads and cloud RLS subject resolution to datalens-inspect, dashboard composition to datalens-dashboard, native fields/charts to datalens-dataset-wizard, and HTML inside JavaScript charts to datalens-editor.
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.
What ships with it
2 files 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.
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.
- 1mo ago Changed 64f4a55dc8f2
- 1mo ago Changed 1959b0eca0fa
- 1mo ago Changed · +2 lines 6e079b521f34
- 1mo ago Changed 197648c20275
- 1mo ago Changed · -4 lines · +22 tokens per session 286c6392dee7
- 1mo ago Changed · +2 lines ec84664977ee
- 1mo ago Changed · +2 lines a8909291ed33
- 1mo ago First seen · 13 lines · 27 tokens per session scan A 47d6520051a4
datalens-maintenance is a skill published in the GitHub repository ADIKANT/datalens-dev-mcp (7 stars, last pushed 11d ago), licensed Apache-2.0. It adds 49 tokens to every session and 360 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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