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/16wells/claude-project-setup/log-activitygit clone --depth 1 https://github.com/16wells/claude-project-setupWrote 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/16wells/claude-project-setup/log-activity)<a href="https://agentmods.dev/commands/16wells/claude-project-setup/log-activity"><img src="https://agentmods.dev/badge/commands/16wells/claude-project-setup/log-activity.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 | $0.00011 | $0.00210 |
| Opus 5 | $0.00005 | $0.00105 |
| Sonnet 5 | $0.00002 | $0.00042 |
| Haiku 4.5 | $0.00001 | $0.00021 |
Grade A, and why
log-activity 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.
What it actually says
Append a new entry to 01-context/activity-log.md documenting what happened in this work session.
Before writing, ask the user (if you don't already know):
- What surface are you working on — Cowork, Claude Code, or Claude.ai chat?
- What did this session accomplish? (brief bullets)
- Is anything in progress / partial?
- Is anything queued for the next session?
Format the entry per the template at the top of activity-log.md:
### YYYY-MM-DD — [Surface] — [Short topic]
- [What you did — one sentence per bullet]
- **In progress:** [partial work, or "none"]
- **Queued:** [what next session should pick up, or "none"]
Keep it short. The activity log gets read at the start of every future session — bloat kills the habit.
Arguments: $ARGUMENTS
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 · 26 lines · 11 tokens per session scan A 8409a6266332
log-activity is a command published in the GitHub repository 16wells/claude-project-setup (2 stars, last pushed 6d ago), licensed MIT. It adds 11 tokens to every session and 210 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 2026-08-31.
Other commands, from other repositories
dream
Consolidate and reorganize project memory.
commit
Analyze Git changes and generate a conventional commit message following the Commitizen format.
start
Start watching the current project with Bonsai.
mute
Silence Bonsai temporarily for this project (or all projects with --global).
discuss
Discuss a Bonsai observation in the current session.
dismiss
Mark a Bonsai observation as not useful (the gardener learns from this).