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 agentmods add skills/cockroachdb/cursor-plugin/analyzing-range-distributionnpx skills add cockroachdb/cursor-plugin --skill analyzing-range-distributiongit clone --depth 1 https://github.com/cockroachdb/cursor-pluginWhat 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 | $0.00060 | $0.03438 |
| Opus 5 | $0.00030 | $0.01719 |
| Sonnet 5 | $0.00012 | $0.00688 |
| Haiku 4.5 | $0.00006 | $0.00344 |
Grade A, and why
analyzing-range-distribution 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 2d 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.
This is a copy
100% identical to analyzing-range-distribution — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 347 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyzing Range Distribution
Analyzes CockroachDB range distribution, leaseholder placement, and zone configuration compliance using SHOW RANGES and SHOW ZONE CONFIGURATIONS commands. Identifies range count anomalies, size imbalances, leaseholder hotspots, and replication issues - entirely via SQL without requiring DB Console access.
Complement to profiling skills: This skill analyzes range-level data distribution; for query performance patterns, see profiling-statement-fingerprints. For schema change storage planning, see analyzing-schema-change-storage-risk.
When to Use This Skill
- Identify tables/indexes with excessive range counts indicating fragmentation
- Detect range size imbalances or uneven data distribution across nodes
- Investigate leaseholder concentration causing read hotspots
- Validate zone configuration effects on range placement and replica distribution
- Diagnose range-level replication issues (under-replicated or unavailable ranges)
- Analyze range split patterns from high write volume
- SQL-only range analysis without DB Console access
For schema change planning: Use analyzing-schema-change-storage-risk to estimate storage requirements before CREATE INDEX or ADD COLUMN operations.
Prerequisites
- SQL connection to CockroachDB cluster
- Admin role OR
ZONECONFIGsystem privilege - Understanding of CockroachDB range architecture (default 512MB max size; verify with
SHOW ZONE CONFIGURATION FOR RANGE default) - Knowledge of cluster topology (node IDs, regions, availability zones)
Check your privileges:
SHOW SYSTEM GRANTS FOR <username>; -- Should show admin or ZONECONFIG
See permissions reference for RBAC setup.
Core Concepts
Ranges: Units of Data Distribution
Range: Contiguous key space segment (default 512MB max size, configurable via zone config range_max_bytes)
Raft group: Each range replicated across nodes (default 3 replicas)
Leaseholder: Single replica handling reads and coordinating writes for a range
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.
- 2d ago First seen · 347 lines · 60 tokens per session scan A cf58bb366258
analyzing-range-distribution is a skill published in the GitHub repository cockroachdb/cursor-plugin (1 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 60 tokens to every session and 3,438 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to analyzing-range-distribution, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
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profiling-transaction-fingerprints
Analyzes transaction fingerprints using aggregated statistics from crdbinternal.transactionstatistics to identify high-retry transactions, contention patterns, and commit latency issues. Provides historical transaction-level analysis to understand which statement combinations are causing retries, contention, or…
auditing-cloud-cluster-security
Audits the security posture of a CockroachDB cluster (Cloud or self-hosted) across network, authentication, authorization, encryption, audit logging, and backup dimensions. Use when assessing cluster security readiness, preparing for compliance reviews, or investigating security configuration gaps.
configuring-sso-and-scim
Configures SSO authentication and SCIM 2.0 provisioning for CockroachDB across four distinct layers — Cloud Console SSO (SAML/OIDC), DB Console SSO (OIDC), SQL/Cluster SSO (JWT or LDAP/AD), and SCIM 2.0 automated provisioning. Use when enabling centralized identity management, setting up SSO for compliance, or…
analyzing-range-distribution
Analyzes CockroachDB range distribution across tables and indexes using SHOW RANGES to identify range count, size patterns, leaseholder placement, and replication health. Use when investigating hotspots, uneven data distribution, range fragmentation, or validating zone configuration effects without DB Console access.
auditing-table-statistics
Audits optimizer table statistics for staleness, missing coverage, and data quality issues using SHOW STATISTICS. Use when diagnosing poor query performance, unexpected plan changes, or after bulk data changes to identify stale statistics requiring refresh via CREATE STATISTICS.