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/edutrul/drupal-ai/drupal-queriesnpx skills add edutrul/drupal-ai --skill drupal-queriesgit clone --depth 1 https://github.com/edutrul/drupal-aiWrote 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/edutrul/drupal-ai/drupal-queries)<a href="https://agentmods.dev/skills/edutrul/drupal-ai/drupal-queries"><img src="https://agentmods.dev/badge/skills/edutrul/drupal-ai/drupal-queries.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 | $0.00026 | $0.00754 |
| Opus 5 | $0.00013 | $0.00377 |
| Sonnet 5 | $0.00005 | $0.00151 |
| Haiku 4.5 | $0.00003 | $0.00075 |
Grade A, and why
drupal-queries 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 4d 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Drupal Database Queries
CRITICAL: Never Concatenate SQL
// WRONG — SQL injection risk
$result = $this->database->query("SELECT * FROM {node} WHERE type = '$type'");
// CORRECT — parameterized query
$result = $this->database->query(
"SELECT nid, title FROM {node} WHERE type = :type",
[':type' => $type]
);
Select Query
$query = $this->database->select('node_field_data', 'n');
$query->fields('n', ['nid', 'title', 'status']);
$query->condition('n.type', 'article');
$query->condition('n.status', 1);
$query->orderBy('n.created', 'DESC');
$query->range(0, 10);
$results = $query->execute()->fetchAll();
// Fetch as associative array
$results = $query->execute()->fetchAllAssoc('nid');
// Fetch single value
$count = $query->countQuery()->execute()->fetchField();
Select with Join
$query = $this->database->select('node_field_data', 'n');
$query->join('node__field_tags', 'tags', 'n.nid = tags.entity_id');
$query->fields('n', ['nid', 'title']);
$query->condition('tags.field_tags_target_id', $tid);
$query->condition('n.status', 1);
Insert
$this->database->insert('my_table')
->fields([
'uid' => $uid,
'data' => serialize($data),
'created' => \Drupal::time()->getRequestTime(),
])
->execute();
Upsert (Insert or Update)
$this->database->upsert('my_table')
->key('uid')
->fields(['uid', 'data', 'updated'])
->values([
'uid' => $uid,
'data' => serialize($data),
'updated' => \Drupal::time()->getRequestTime(),
])
->execute();
Update
$this->database->update('my_table')
->fields(['data' => serialize($data)])
->condition('uid', $uid)
->execute();
Delete
$this->database->delete('my_table')
->condition('uid', $uid)
->execute();
Entity Query (preferred for entities)
// Always prefer EntityQuery over raw SQL for entities
$query = $this->entityTypeManager->getStorage('node')->getQuery()
->accessCheck(TRUE)
->condition('type', 'article')
->condition('status', 1)
->sort('created', 'DESC')
->range(0, 10);
$nids = $query->execute();
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.
- 4d ago First seen · 134 lines · 26 tokens per session scan A 85909138ad46
drupal-queries is a skill published in the GitHub repository edutrul/drupal-ai (71 stars, last pushed 3mo ago), licensed MIT. It adds 26 tokens to every session and 754 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
redteam-sqli-detail-pack
Domain routing and boundary guidance for authorized SQL injection testing, including union-based, blind, error-based, stacked query, and second-order SQL injection variants. Use when a task belongs to the SQL injection domain and needs scope, evidence, pivot, or exit criteria.
api-canvas
DataCanvas primitive reference — a Tier 3 SQL/analytical workspace for tabular MCP servers, backed by DuckDB. Use when registering tables from upstream APIs, running ad-hoc SQL across them, and exporting results. Covers the acquire → register → query → export flow, per-table TTL, the token-sharing pattern for…
api-mirror
Stand up a persistent, self-refreshing local mirror of a bulk upstream dataset with the MirrorService (@cyanheads/mcp-ts-core/mirror). Use when a server wraps a large or slow API and should query a synced local index (embedded SQLite + FTS5) instead of paginating the live API per request.
database-designer
A comprehensive database design skill that provides expert-level analysis, optimization, and migration capabilities for modern database systems. This skill combines theoretical principles with practical tools to help architects and developers create scalable, performant, and maintainable database schemas.
database-schema-designer
Design relational database schemas from requirements and generate migrations, TypeScript/Python types, seed data, RLS policies, and indexes. Handles multi-tenancy, soft deletes, audit trails, versioning, and polymorphic associations.
clickhouse-pydantic-config
Generate DBeaver config from Pydantic ClickHouse models. TRIGGERS - DBeaver config, ClickHouse connection, database client config.