Apache Doris Skills is a collection of agent instructions containing Apache Doris database knowledge for designing, sizing, operating, diagnosing, and contributing to Doris clusters. It serves developers and operators using Claude Code, Cursor, Codex, Cline, Amp, and other agent tools, with the skills providing decision logic and evidence-based workflows.
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/apache/doris-skillsnpx agentmods add skills/apache/doris-skills/data-lakeWrote 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/apache/doris-skills/data-lake)<a href="https://agentmods.dev/skills/apache/doris-skills/data-lake"><img src="https://agentmods.dev/badge/skills/apache/doris-skills/data-lake/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/apache/doris-skills/data-lake"><img src="https://agentmods.dev/badge/skills/apache/doris-skills/data-lake.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00041 | $0.00850 |
| Opus 5.5 | $0.00016 | $0.00340 |
| Sonnet 5.5 | $0.00008 | $0.00170 |
| Haiku 4.5 | $0.00004 | $0.00085 |
Grade A, and why
doris-debug-data-lake scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -I "https://<bucket>.s3.<region>.amazonaws.com" How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Lake (Multi-Catalog)
Causes
| ID | Cause | Evidence | Source anchor |
|---|---|---|---|
| A | Metadata stale | Query returns old data / missing partitions after upstream write | HMSClient.java, CachedHMSClient.java |
| B | S3/HDFS connectivity | Access Denied, Timeout, NoSuchBucket |
S3FileSystem.java, HdfsResource.java |
| C | External MV rewrite miss | EXPLAIN shows no MATERIALIZED_REWRITE | MTMVService.java rewrite rules |
| D | Schema mismatch | Parquet/ORC schema ≠ Hive Metastore schema | ParquetReader.cpp, schema merge |
| E | Credential / IAM expiry | STS / IAM token rotated; 403 on S3 | S3FileSystem.java credential refresh |
| F | Too many open files | FD exhaustion listing large table directories | BE ulimit -n, FileSystem.listFiles() |
10 min triage
-- Verify catalog is alive
SHOW CATALOGS;
-- Refresh metadata (hive / iceberg / paimon)
REFRESH CATALOG hive_catalog;
REFRESH DATABASE hive_catalog.db_name;
REFRESH TABLE hive_catalog.db_name.tbl_name;
-- Check if external MV rewrite is enabled
SET materialized_view_rewrite_enable_contain_external_table = true;
-- Analyze external table for CBO stats
ANALYZE TABLE hive_catalog.db_name.tbl_name;
# BE logs for S3/HDFS errors
./scripts/doris-debug log-grep be/log --query-id "$QID"
grep -r "403\|Access Denied\|Timeout\|NoSuchBucket\|Token.*expired" be/log/
# Check BE file descriptor limit
cat /proc/$BE_PID/limits | grep "open files"
Cause A — Metadata staleness
Hive Metastore metadata is cached; REFRESH CATALOG invalidates the cache. For large catalogs, prefer:
-- Refresh only the changed partition
REFRESH TABLE catalog.db.tbl PARTITION (dt='2026-07-15');
If refresh is slow, check HMSClient cache settings (fe.conf):
hive_metastore_client_timeout_second = 10
Cause B — S3/HDFS connectivity
# be.conf — S3 credential chain
aws_access_key_id = ...
aws_secret_access_key = ...
aws_region = us-east-1
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.
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 First seen · 101 lines · 41 tokens per session scan A 6fac97f2bb14
doris-debug-data-lake is a skill published in the GitHub repository apache/doris-skills (47 stars, last pushed 17d ago), licensed Apache-2.0. It adds 41 tokens to every session and 850 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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