A read-only question-and-answer skill for searching data across the Ikenga database. It turns plain-language questions into safe, parameterised database reads and returns the results.

Answering cross-domain questions, retrieving filtered records, and streaming formatted results from the database.

It lets an operator ask about tasks, mail, sales, finance, and other domains without writing database queries or changing records.

query — Skill for Claude Code by ikenga-hq

Install

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.

Any agent

npx skills add ikenga-hq/ikenga-pkgs --skill query

Clone the repo

git clone --depth 1 https://github.com/ikenga-hq/ikenga-pkgs

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/ikenga-hq/ikenga-pkgs/query.svg)](https://agentmods.dev/skills/ikenga-hq/ikenga-pkgs/query)

Your own site

<a href="https://agentmods.dev/skills/ikenga-hq/ikenga-pkgs/query"><img src="https://agentmods.dev/badge/skills/ikenga-hq/ikenga-pkgs/query.svg" alt="Measured on agentmods" height="20"></a>

Per session 131 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 854 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00131	$0.00854
Opus 5	$0.00066	$0.00427
Sonnet 5	$0.00026	$0.00171
Haiku 4.5	$0.00013	$0.00085

Measured 7d ago against content hash fcb7d09df762, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

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 7d 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.

packages/skills/query/skills/query/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

query — cross-domain reader skill

This file is a router. The single action lives in actions/query.md. The state contract (which ikenga.db tables are readable, SELECT-only boundary) is in lib/state.md — read it before authoring or modifying the action.

skill-core note: depends_on: ['skill-core'] is declared above. skill-core is not yet packaged (Phase 3+). skill-query declares the dependency edge now (per the G-04 contract and the lint spec in 06-skill-action-contract.md §5) so the graph is correct from day one; the dependency resolves when skill-core ships. Per the lint, no other target is legal.

Purpose (one line)

Translate operator questions into parameterised SELECTs over ikenga.db and stream the answer — reading all declared domain tables, writing nothing.

Actions

Action	File	Mode	One-liner
`query`	`actions/query.md`	`streaming`	Translate a natural-language question into SQL SELECTs; stream the formatted answer.

No setup action — skill-query has no per-project instance state. It reads; it does not configure. No digest/report action — recurring briefings stay with skill-pa briefing (P5 dedup).

Routing

If the operator asks…	Load	Then
Any question about data: "how many tasks…", "show me deals…", "what revenue…", "which content…"	`actions/query.md`	Translate → parameterised SELECT → stream answer

Do not route here for:

Task/email/deal create, edit, delete, reassign → domain pkgs
Morning briefing, EOD summary, weekly digest → skill-pa briefing
Dispatching sends, approving drafts → domain pkgs

What skill-query does NOT do

No writes — host.dbExec is never called. Zero INSERT/UPDATE/DELETE/DROP.
No dispatch — no side effects, no queue commits.
No digest — interactive questions only; scheduled aggregations belong to skill-pa briefing.
No cross-domain aggregation as a lib — panes compute their own KPIs client-side; this skill is for operator questions in the dock chat.
No Supabase — state is local ikenga.db via host.dbQuery SELECT-only.

Read the full file on GitHub · 96 lines

Files

What ships with it

2 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.

Changes

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.

7d ago First seen · 96 lines · 131 tokens per session scan A fcb7d09df762

Subscribe to this mod's changes

query is a skill published in the GitHub repository ikenga-hq/ikenga-pkgs (0 stars, last pushed today), licensed Apache-2.0. It adds 131 tokens to every session and 854 once invoked, about $0.0007 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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