Borrowing it
Nothing to install: this file belongs to geleynse/gantry. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/geleynse/gantry/main/.claude/skills/database-and-services/SKILL.mdgit clone --depth 1 https://github.com/geleynse/gantryWrote 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/geleynse/gantry/database-and-services)<a href="https://agentmods.dev/skills/geleynse/gantry/database-and-services"><img src="https://agentmods.dev/badge/skills/geleynse/gantry/database-and-services/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/geleynse/gantry/database-and-services"><img src="https://agentmods.dev/badge/skills/geleynse/gantry/database-and-services.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00049 | $0.03271 |
| Opus 5.5 | $0.00020 | $0.01308 |
| Sonnet 5.5 | $0.00010 | $0.00654 |
| Haiku 4.5 | $0.00005 | $0.00327 |
Grade A, and why
database-and-services 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 2mo 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Database & Service Layer — Gantry Server
The database module
Single file: server/src/services/database.ts. Everything else imports from it — there is no ORM, no query builder, no separate migration runner.
getDb()— returns the rawbun:sqliteDatabaseinstance. Throws'Database not initialized — call createDatabase() first'if called beforecreateDatabase(). Import path from a service module:from "./database.js"; from a route:from "../../services/database.js".createDatabase(dbPath?: string)— opens the DB, sets pragmas, runs the full inline schema (CREATE TABLE IF NOT EXISTS ...for every table) plus a short list ofALTER TABLE ... ADD COLUMNcolumn-upgrade shims (wrapped in try/catch to ignore "duplicate column" on existing DBs). Call with no args in production; call with':memory:'(or a temp file path) in tests.getDbIfInitialized()— likegetDb()but returnsnullinstead of throwing; used by code paths that need to no-op gracefully before startup completes.closeDb()— clears the prepared-statement cache and closes the connection. Always call in testafterEach.- Typed query helpers — prefer these over raw
db.prepare()for simple queries, they cache prepared statements by SQL string and give you a typed return instead ofas any:queryOne<T>(sql, ...params): T | nullqueryAll<T>(sql, ...params): T[]queryInsert(sql, ...params): number— returnslastInsertRowidqueryRun(sql, ...params): number— returnschangescount- All four log a warning and return a safe empty value (
null/[]/0) if called beforecreateDatabase()— they do not throw.
- For multi-statement transactions or when you need the raw
Statementobject (e.g.turn-ingestor.tsbuilding an insert once and reusing.run()in a loop), callgetDb()and usedb.prepare(sql)/db.transaction(fn)()directly — see the transaction pattern below.
Where fleet.db lives
join(FLEET_DIR, 'data', 'fleet.db') — resolved inside createDatabase() when called with no dbPath argument. FLEET_DIR itself is resolved in server/src/config/env.ts (resolveFleetDir()): explicit FLEET_DIR env var first, then a documented fallback search — read env.ts's top comment block if you need the exact fallback order, don't assume. Never point a local dev run or a test at the real fleet.db — use GANTRY_MOCK=1 for a running server (see build-and-dev skill) or createDatabase(':memory:') for tests.
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.
- 2mo ago First seen · 139 lines · 49 tokens per session scan A e97929e3f8c4
database-and-services is a skill published in the GitHub repository geleynse/gantry (4 stars, last pushed 2mo ago), licensed MIT. It adds 49 tokens to every session and 3,271 once invoked, about $0.0002 per session on Opus 5.5. 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.
database-and-services compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| database-and-servicesgeleynse/gantry | Skill | 4 | 2mo ago | MIT | A | 49 | Claude Code |
| event-store-designwshobson/agents | Skill | 42k | yesterday | MIT | A | 33 | Claude Code |
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| durable-objectsfcakyon/claude-codex-settings | Skill | 1.2k | yesterday | Apache-2.0 | A | 22 | Claude Code |
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| nw-ddd-eventsourcingnWave-ai/nWave | Skill | 631 | yesterday | MIT | A | 38 | Claude Code |