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/objectstack-ai/objectstack/objectstack-querynpx skills add objectstack-ai/objectstack --skill objectstack-querygit clone --depth 1 https://github.com/objectstack-ai/objectstackWhat 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 | $0.00081 | $0.05675 |
| Opus 5 | $0.00041 | $0.02838 |
| Sonnet 5 | $0.00016 | $0.01135 |
| Haiku 4.5 | $0.00008 | $0.00568 |
Grade A, and why
objectstack-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 — 674 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Query Design — ObjectStack Query DSL
Expert instructions for constructing data queries using the ObjectStack Query DSL. This skill covers filter expressions, sorting, pagination, aggregation, full-text search, and the expand system for related records.
Schema vs. runtime: the QueryAST schema declares more than the engine
currently executes. Sections below marked
⚠️ Schema-reserved — NOT executed by the engine yet.
describe properties that validate against the schema but are silently ignored (or rejected) at runtime. Never emit them in production queries — each caveat shows the working alternative.
Skill Boundaries
| Need | Use instead |
|---|---|
| Define objects, fields, or relationships | objectstack-data |
| Define REST API endpoints or auth | objectstack-api |
| Build views, dashboards, or apps | objectstack-ui |
| Create a plugin or register services | objectstack-platform |
When to Use This Skill
- You are constructing a filter expression for record retrieval
- You need to sort or paginate query results
- You are writing aggregation queries (count, sum, avg, group by)
- You need to expand related records through lookups
- You are implementing full-text search across fields
- You are choosing between offset vs keyset pagination
Core Concepts
Query Structure (QueryAST)
Every ObjectStack query follows the QuerySchema structure:
{
object: 'account', // Target object (required)
fields: ['name', 'email'], // SELECT — fields to retrieve
where: { status: 'active' }, // WHERE — filter conditions
orderBy: [{ field: 'created_at', order: 'desc' }], // ORDER BY
limit: 20, // LIMIT — max records
offset: 0, // OFFSET — skip records
}
Key rule: object is the only required property. Everything else is optional.
Quick Reference — Detailed Rules
For comprehensive documentation with incorrect/correct examples:
What ships with it
5 files 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.
- 2d ago First seen · 674 lines · 81 tokens per session scan A b7fd19b9406f
objectstack-query is a skill published in the GitHub repository objectstack-ai/objectstack (45 stars, last pushed 2d ago), licensed Apache-2.0. It adds 81 tokens to every session and 5,675 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 2026-08-30.
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