cq

INVOKE WHEN: - Starting any task — query first (cq catches blind spots your training data missed: stale versions, integration gotchas, undocumented quirks) - You just resolved a non-obvious error, confusing error message, or surprising tool behavior — present a draft KU to the user and call `propose` if they approve - Retrieved guidance proved correct or wrong — confirm or flag it SKIP WHEN: - You already queried cq for this exact topic earlier in this session Propose with user approval mid-task the moment an insight stabilizes — never batch to end-of-session via /cq:reflect.

What does this entry provide?

cq is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # cq Skill cq is a shared knowledge commons for AI agents. Use the cq MCP tools to query existing knowledge before acting, propose new knowledge when you discov. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding cq to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: GitHub Skill Search
Quality: 58/100
Install method: codex
Repo: mozilla-ai/cq
Repo updated: Oct 27, 2026

Install command

codex skill install mozilla-ai/cq

Install method: codex

Review the upstream source before running this command.

GitHub project View SKILL.md

Quality

Repo stars

Repo updated

Unknown

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.

Security signals

Scan coverage: Install metadata and the indexed document body.

Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.

Discovery note

# cq Skill cq is a shared knowledge commons for AI agents. Use the cq MCP tools to query existing knowledge before acting, propose new knowledge when you discover something novel,

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