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.
git clone --depth 1 https://github.com/stefan-jansen/claude-code-toolkitWrote 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/commands/stefan-jansen/claude-code-toolkit/system-status)<a href="https://agentmods.dev/commands/stefan-jansen/claude-code-toolkit/system-status"><img src="https://agentmods.dev/badge/commands/stefan-jansen/claude-code-toolkit/system-status/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/commands/stefan-jansen/claude-code-toolkit/system-status"><img src="https://agentmods.dev/badge/commands/stefan-jansen/claude-code-toolkit/system-status.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00014 | $0.00329 |
| Opus 5.5 | $0.00006 | $0.00132 |
| Sonnet 5.5 | $0.00003 | $0.00066 |
| Haiku 4.5 | $0.00001 | $0.00033 |
Grade A, and why
system:status 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 1mo 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.
What it actually says
System Status
Comprehensive view of work state, git status, and system health.
Input: $ARGUMENTS
Usage
/status # Quick overview
/status verbose # Extended information
Output Sections
📋 WORK STATUS
🟢 Active: [work-unit-id]
Phase: exploring|planning|implementing
Task: TASK-003
Total units: 5
🔀 GIT STATUS
🌳 Branch: main
📝 Changes: 3 modified, 1 staged, 2 untracked
📥 Last: abc123 - feat: add auth (2 hours ago)
⚙️ SYSTEM STATUS
🏗️ Framework: Claude Code v3.0 ✅
💾 Memory: 5 files, 24KB
🧠 MEMORY STATUS (verbose only)
🔄 Recent updates: 2 files in last hour
🔗 Transitions: 5 saved
🎯 NEXT STEPS
➡️ Continue with: /next
➡️ Commit changes: /git commit
Checks Performed
- Active work unit in
.claude/work/ACTIVE_WORK - Work unit state from
state.json - Git branch and changes
- Framework directory structure
- Memory file count and size
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.
- 1mo ago First seen · 63 lines · 14 tokens per session scan A b36384cf811a
system:status is a command published in the GitHub repository stefan-jansen/claude-code-toolkit (89 stars, last pushed 3mo ago), licensed MIT. It adds 14 tokens to every session and 329 once invoked, about $0.0001 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.
Other commands, from other repositories
context-stats
Display context window usage and token statistics.
ctx
Search agent history or trace code to its original agent session.
evolve
Cluster related instincts into skills, commands, or agents.
suggest-automation
A command that reviews recent Git commits and project instructions to find work patterns that happen repeatedly.
instinct-import
Import instincts from teammates, Skill Creator, or other sources.
instinct-export
Export instincts for sharing with teammates or other projects.