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 skills add Ruya-AI/cozempic --skill guardgit clone --depth 1 https://github.com/Ruya-AI/cozempicWrote 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/skills/ruya-ai/cozempic/guard)<a href="https://agentmods.dev/skills/ruya-ai/cozempic/guard"><img src="https://agentmods.dev/badge/skills/ruya-ai/cozempic/guard/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/skills/ruya-ai/cozempic/guard"><img src="https://agentmods.dev/badge/skills/ruya-ai/cozempic/guard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00064 | $0.00435 |
| Opus 5 | $0.00032 | $0.00217 |
| Sonnet 5 | $0.00013 | $0.00087 |
| Haiku 4.5 | $0.00006 | $0.00044 |
Grade A, and why
guard scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Start the cozempic guard daemon for continuous session protection.
Default (recommended)
cozempic guard --daemon --threshold 50 -rx standard --interval 30
This runs in the background and:
- Checkpoints team state every 30 seconds
- At 60% of threshold (30MB): applies gentle prune, no reload
- At threshold (50MB): applies full prescription + auto-reload with team state preserved
For agent teams
Guard mode is essential for sessions running agent teams. Without it, auto-compaction triggers and the lead agent loses team state (TeamCreate, SendMessage, tasks are discarded).
Options
--threshold N— hard threshold in MB (default: 50)--soft-threshold N— soft threshold in MB (default: 60% of hard)--threshold-tokens N— hard threshold in tokens (fires whichever hits first)--no-reload— prune without restarting Claude--no-reactive— disable kqueue/polling file watcher-rx NAME— prescription at hard threshold (default: standard)
Check status and stop
The daemon writes to /tmp/cozempic_guard_*.log. Check with:
ls /tmp/cozempic_guard_*.pid 2>/dev/null # is it running?
tail -20 /tmp/cozempic_guard_*.log 2>/dev/null # recent activity
kill "$(cat /tmp/cozempic_guard_*.pid)" # stop it
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.
- 9d ago First seen · 47 lines · 64 tokens per session scan A 3981ba0555d0
guard is a skill published in the GitHub repository Ruya-AI/cozempic (404 stars, last pushed 2mo ago), licensed MIT. It adds 64 tokens to every session and 435 once invoked, about $0.0003 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.
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