Best use case
status is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Show ctx memory status (node counts, types, tiers, tokens)
Teams using status should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/status/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How status Compares
| Feature / Agent | status | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Show ctx memory status (node counts, types, tiers, tokens)
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# ctx Status Show a summary of stored knowledge. Run: ```bash ctx status --agent-out ``` The `--agent-out` flag emits dense AOF output optimised for agent consumption. Omit it for human-readable output. Report to the user: total nodes, breakdown by type and tier, token counts, and database size.
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