Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/cognitedata/builder-skillsnpx agentmods add skills/cognitedata/builder-skills/dm-limits-and-best-practicesWrote 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/cognitedata/builder-skills/dm-limits-and-best-practices)<a href="https://agentmods.dev/skills/cognitedata/builder-skills/dm-limits-and-best-practices"><img src="https://agentmods.dev/badge/skills/cognitedata/builder-skills/dm-limits-and-best-practices/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/cognitedata/builder-skills/dm-limits-and-best-practices"><img src="https://agentmods.dev/badge/skills/cognitedata/builder-skills/dm-limits-and-best-practices.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00082 | $0.04461 |
| Opus 5 | $0.00041 | $0.02230 |
| Sonnet 5 | $0.00016 | $0.00892 |
| Haiku 4.5 | $0.00008 | $0.00446 |
Grade A, and why
dm-limits-and-best-practices 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 624 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CDF Data Modeling: Limits, Concurrency & Best Practices
This is a reference skill. When writing or reviewing code that calls CDF Data Modeling APIs, apply the patterns below.
This skill owns runtime reliability concerns: limits, concurrency, retries, throughput, and batching behavior.
For traversal payload correctness and graph-specific failure signatures, see dm-graph-traversal.
DMS Limits Reference
For the latest concurrency limits, resource limits, and property value limits, see the official documentation: https://docs.cognite.com/cdf/dm/dm_reference/dm_limits_and_restrictions
Key things to be aware of:
- Instance apply, delete, and query operations each have their own concurrent request limits
- Exceeding these limits returns 429 Too Many Requests
- Transformations consume a large portion of the concurrency budget, leaving less for other clients
instances.listhas a max page size (use pagination for complete results)instances.querytable expressions each have their own item limitinstances.upsertaccepts up to 1000 items per callinfilters accept at most 1000 values per expression; larger sets must be split into batches
Search vs Filter: When to Use Which
instances.search — Free-text search on text properties
Use instances.search when you need fuzzy/text matching on string fields (names, descriptions, etc.). It supports an operator parameter:
AND(default) — Narrow search. All terms must match. Use when the user provides a specific query.OR— Broad "shotgun" search. Any term can match. Use for exploratory/typeahead search where you want maximum recall.
// Narrow search: find a specific cell by name (AND — all terms must match)
const exactResults = await client.instances.search({
view: { type: 'view', ...PROCESS_CELL_VIEW },
query: 'reactor tank A',
properties: ['name'],
operator: 'AND',
limit: 10,
});
// Broad search: typeahead/autocomplete (OR — any term can match)
const broadResults = await client.instances.search({
view: { type: 'view', ...BATCH_VIEW },
query: 'BUDE completed',
properties: ['name', 'description', 'batchStatus'],
operator: 'OR',
limit: 10,
});
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.
- 7d ago Changed · +7 lines · -34 tokens per session 06c607b364cf
- 11d ago First seen · 617 lines · 116 tokens per session scan A 1ef664261c2e
dm-limits-and-best-practices is a skill published in the GitHub repository cognitedata/builder-skills (6 stars, last pushed 4d ago), licensed Apache-2.0. It adds 82 tokens to every session and 4,461 once invoked, about $0.0004 per session on Opus 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 2026-08-31.
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