Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add ahmedawan-oracle/claude-code-plugins/plugin install oracle-ai-data-platform-workbench-databricks-migratorWrote 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/ahmedawan-oracle/claude-code-plugins/aidp-check-data)<a href="https://agentmods.dev/skills/ahmedawan-oracle/claude-code-plugins/aidp-check-data"><img src="https://agentmods.dev/badge/skills/ahmedawan-oracle/claude-code-plugins/aidp-check-data.svg" alt="Measured on agentmods" 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 | $0.00087 | $0.01380 |
| Opus 5 | $0.00044 | $0.00690 |
| Sonnet 5 | $0.00017 | $0.00276 |
| Haiku 4.5 | $0.00009 | $0.00138 |
Grade A, and why
aidp-check-data 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 5d 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
aidp-check-data — pre-migration data-availability scan
Pass-2 of the migrator is expensive (live cluster time + Claude-with-tool-use tokens per cell). Running this scan first catches the "no source table" and "wrong bucket" failure modes in seconds instead of hours.
When to use
- After
aidp-build-dag, beforeaidp-migrate-job. - After
aidp-migrate-catalog(verify schemas + tables actually landed). - Any time the user wonders "is the data ready".
Invocation
python3 ${CLAUDE_PLUGIN_ROOT}/engine/scripts/check_data_availability.py \
--root "<databricks-workspace-path>" \
--cluster <CLUSTER_ID> \
--aidp-base <AIDP_BASE> \
--datalake-ocid <DATALAKE_OCID> \
--workspace-id <WORKSPACE_UUID> \
--oci-profile <profile>
Or for the workflow-shape input (matches aidp-build-dag's workflow path):
python3 ${CLAUDE_PLUGIN_ROOT}/engine/scripts/check_data_availability_for_workflow.py \
--job-id <databricks-job-id> \
--cluster <CLUSTER_ID> \
--aidp-base <AIDP_BASE> \
--datalake-ocid <DATALAKE_OCID> \
--workspace-id <WORKSPACE_UUID> \
--oci-profile <profile>
What it does
- Walks every notebook in the manifest.
- Extracts every reference to:
spark.read.table("...")/spark.table("...")spark.read.parquet/csv/json/delta("...").saveAsTable("...")(target — wrote-to)- 3-part name references in
%sql/spark.sql(...)strings
- For each unique reference, opens a Spark session on the cluster and runs a probe:
- tables →
DESCRIBE TABLE <fq>(andSHOW TABLES IN <schema>to differentiate "schema missing" from "table missing") - paths →
dbutils.fs.ls(path)via the migrator's helper
- tables →
- Emits a report with three columns:
- OK — table/path exists, accessible
- MISSING — does not exist on the cluster
- EMPTY — exists but has 0 rows / 0 files (often a sign that the catalog migration succeeded but data wasn't replicated)
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.
- 5d ago First seen · 102 lines · 87 tokens per session scan A d707b8d41752
aidp-check-data is a skill published in the GitHub repository ahmedawan-oracle/claude-code-plugins (2 stars, last pushed 1mo ago), licensed MIT. It adds 87 tokens to every session and 1,380 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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