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 skills add objectstack-ai/objectstack --skill objectstack-querygit clone --depth 1 https://github.com/objectstack-ai/objectstackWrote 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/objectstack-ai/objectstack/objectstack-query)<a href="https://agentmods.dev/skills/objectstack-ai/objectstack/objectstack-query"><img src="https://agentmods.dev/badge/skills/objectstack-ai/objectstack/objectstack-query/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/objectstack-ai/objectstack/objectstack-query"><img src="https://agentmods.dev/badge/skills/objectstack-ai/objectstack/objectstack-query.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00089 | $0.04368 |
| Opus 5.5 | $0.00036 | $0.01747 |
| Sonnet 5.5 | $0.00018 | $0.00874 |
| Haiku 4.5 | $0.00009 | $0.00437 |
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 today.
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 — 402 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Query Design — ObjectStack Query DSL
Calling Convention — object is the FIRST ARGUMENT
| Surface | Shape | Legal option keys |
|---|---|---|
engine find / findOne |
engine.find('task', {…}, { context }) |
context, where, fields, orderBy, limit, offset, search, searchFields, expand — plus the six driver passthrough keys transaction, tenantId, tenantIds, timezone, bypassTenantAudit, preserveAudit |
engine aggregate |
engine.aggregate('deal', {…}) |
context, where, groupBy, aggregations, having, timezone, search, searchFields — the two search keys filter the input rows before grouping, AND-ed with where, exactly as on find |
engine count |
engine.count('task', {…}) |
context, where |
| protocol / REST | findData({ object: 'task', query: {…} }) |
object sits OUTSIDE the query |
nested expand value |
a QueryAST — { object, fields, where } |
(see Expand) |
ENGINE_FIND_OPTION_KEYS / ENGINE_AGGREGATE_OPTION_KEYS are closed sets:
a key outside the row is refused by name (find('task') does not recognise option 'bogus'), never ignored. A standalone { object: 'account', limit: 20 } literal
is therefore a QueryAST — legal as findData's query or an expand
value — not an engine option bag. top folds to limit, filter to where,
before that check.
The passthrough six ride along on find/findOne (and on update/delete)
because there the option bag IS the base of the driver options, which is how an
explicit tenantId reaches the driver. count and aggregate never forward the
bag, so on those two the same keys are deliberately ILLEGAL — accepting them
would be the silently-ignored option this check exists to close. The one
exception is timezone: aggregate reads it itself, for date bucketing, so it
is legal there and the row above lists it; count refuses it with the rest.
Which filter dialect?
| Writing… | Dialect | Owner |
|---|---|---|
an ObjectQL where |
the $ operators below |
this skill |
a list view / nav-item filter |
[{ field, operator, value }] over the 20-operator VIEW_FILTER_OPERATORS enum (equals, icontains, is_null, before, between, …) — unknown operators are refused at parse |
objectstack-ui |
a dataset measure filter |
the measure's own filter | objectstack-ui |
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.
- today Changed e93eb409ce6a
- 2d ago Changed 2551ecf8fd02
- 3d ago Changed 694e3c511e5e
- 5d ago Changed 031d5b952c67
- 8d ago Changed · +1 lines 5123ff5fedad
- 16d ago Changed · +1 lines 5d1982cdce0c
- 1mo ago Changed · -274 lines · +8 tokens per session 82e26d11168c
- 1mo 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 (72 stars, last pushed today), licensed Apache-2.0. It adds 89 tokens to every session and 4,368 once invoked, about $0.0004 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 2026-08-30.
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