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 agentmods add commands/shanraisshan/claude-code-best-practice/time-commandgit clone --depth 1 https://github.com/shanraisshan/claude-code-best-practiceWrote 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/shanraisshan/claude-code-best-practice/time-command)<a href="https://agentmods.dev/commands/shanraisshan/claude-code-best-practice/time-command"><img src="https://agentmods.dev/badge/commands/shanraisshan/claude-code-best-practice/time-command.svg" alt="Measured on agentmods" 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 | $0.00016 | $0.00168 |
| Opus 5 | $0.00008 | $0.00084 |
| Sonnet 5 | $0.00003 | $0.00034 |
| Haiku 4.5 | $0.00002 | $0.00017 |
Grade A, and why
time-command 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 4d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- time-command — 100% identical, 0 lines differ
What it actually says
Time Command
Display the current date and time in Pakistan Standard Time (PKT, UTC+5).
Instructions
-
Run the following bash command to get the current time in PKT:
TZ='Asia/Karachi' date '+%Y-%m-%d %H:%M:%S %Z' -
Display the result to the user in this format:
Current Time in Pakistan (PKT): YYYY-MM-DD HH:MM:SS PKT
Requirements
- Always use the
Asia/Karachitimezone (UTC+5) - Use 24-hour format
- Include the date alongside the time
- Keep the output concise
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.
- 4d ago First seen · 27 lines · 16 tokens per session scan A 803df4e451d7
time-command is a command published in the GitHub repository shanraisshan/claude-code-best-practice (65,575 stars, last pushed today), licensed MIT. It adds 16 tokens to every session and 168 once invoked, about $0.0001 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 2026-08-30.
Other commands, from other repositories
workflow-changelog
Track Claude Code changelog and find what needs updating in this repo.
commit
Commit changes with auto-generated message showing command context, timestamp, and change count.
workflow-add-hook
Add a new Claude Code hook event with sounds, config, settings, scripts, and docs.
release-update
(dev-only) release-update maintainer harness — Claude Code upstream change tracker (release-notes version-delta sweep + docs sync). NOT distributed to user projects.
clean
Identify and safely remove dead code with test verification.
claudehut-learning-report
Show the ClaudeHut learning scoreboard — measured memory health (store size, reinforcement, effectiveness/recurrence, quality) so you can tell whether the agent is actually getting smarter across sessions. One-shot, read-only.