dm-limits-and-best-practices

CDF Data Modeling limits: concurrency (429s), pagination, batching, search vs filter, QueuedTaskRunner, and the cap on LLM calls over query results (5 default, 50 max, cached). Triggers: DMS limits, 429, pagination, nextCursor, cdfTaskRunner, instances.query, chat completions over query results.

1.75x

Quality

76%

Does it follow best practices?

Impact

98%

1.75x

Average score across 1 eval scenario

Securityby

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/dm-limits-and-best-practices/SKILL.md

Evaluation results

98%

42%

Asset Discovery and AI Enrichment Module

Search operator choice and LLM-over-results constraints

Criteria

Without this skill

With this skill

Typeahead uses OR

100%

Typeahead not AND

100%

Exact lookup uses AND or filter

100%

Exact lookup not OR

100%

No unbounded LLM calls

100%

Per-action cap of 5

100%

Hard ceiling of 50

100%

Cache key: space

100%

Cache key: externalId + lastUpdatedTime

100%

cdfTaskRunner wrapping

100%

User-initiated documentation

40%

60%

No nested cdfTaskRunner

100%

Repository: cognitedata/builder-skills
Path: skills/dm-limits-and-best-practices/SKILL.md
Commit: c87160a

Evaluated: 16 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Asset Discovery and AI Enrichment Module

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