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/datarails/dr-claude-code-plugins-re/querynpx skills add Datarails/dr-claude-code-plugins-re --skill querygit clone --depth 1 https://github.com/Datarails/dr-claude-code-plugins-reWhat 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 | $0.00049 | $0.02837 |
| Opus 5 | $0.00024 | $0.01418 |
| Sonnet 5 | $0.00010 | $0.00567 |
| Haiku 4.5 | $0.00005 | $0.00284 |
Grade A, and why
dr-query 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.
How it starts
The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Datarails Data Query
Query Finance OS tables — fetch records by filter, sample rows, or page through
data. The filter API supports both value-list and advanced (comparison / range /
text / null / date-range) operators, so most questions can be answered with a
single get_data_by_* call.
Workflow
Step 1: Verify Authentication
If any tool call fails with an authentication or connection error, guide the user to connect via the Connectors UI ("+" → Connectors → Datarails → Connect).
Step 2: Resolve the table and its fields
list_data_models to find the table by name or alias. Prefer the alias path
when the table has an alias: list_aliased_fields(<alias>) gives friendly field
names and you query with get_data_by_alias. Otherwise get_fields_by_id(<id>)
gives numeric field ids and you query with get_data_by_id (select and
filters are field-id based). Always select only the columns you need — raw
tables can be hundreds of columns wide in some orgs.
Alias coverage is per field, not per table. A table having an alias does not mean its fields are aliased — real orgs often expose only a handful of aliased fields (e.g. ~5 of ~185 on a mapped financials table), and the load-bearing fields (
amount,scenario, account groups, dates) are frequently not among them. Treat the alias/by-id choice per field:get_fields_by_id(<id>)returns every field with its numericidand itsalias(empty if none). Address a field by alias (via the*_by_aliastools) when it has one, else by numericid(via the*_by_idtools). By-id always works — never abandon the query because the aliased set is thin.
Async fetch — aggregations and distinct values run as start → poll.
start_aggregation_by_id/_by_aliasandstart_distinct_values_by_id/_by_aliastake the same arguments as the retired blocking calls (dimensions/metrics/filters; table id + field id, or alias + field alias) and return immediately with{"status": "pending", "handle": {...}}. Echo thathandleback verbatim to the matchingget_aggregation_result_by_*/get_distinct_values_result_by_*tool: a{"status": "running", "retry_after_seconds": N}response means poll again with the same handle after ~N seconds (≈5s) — it is not an error, and large jobs may take several polls; when ready, the result arrives in the familiar shape (for distinct values, passlimitto the result tool). An expired/unknown-handle error means restart with thestart_*tool. Transitional fallback: if thestart_*tools aren't available on the connector (older server), the blocking twinsget_aggregated_data_by_*/get_distinct_values_by_*still work with the same arguments.
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 · 196 lines · 49 tokens per session scan A 7443eb290f58
dr-query is a skill published in the GitHub repository Datarails/dr-claude-code-plugins-re (3 stars, last pushed 3d ago), licensed MIT. It adds 49 tokens to every session and 2,837 once invoked, about $0.0002 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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