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 treatgit 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/treat)<a href="https://agentmods.dev/skills/ruya-ai/cozempic/treat"><img src="https://agentmods.dev/badge/skills/ruya-ai/cozempic/treat/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/treat"><img src="https://agentmods.dev/badge/skills/ruya-ai/cozempic/treat.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 | $0.00025 | $0.00547 |
| Opus 5 | $0.00013 | $0.00273 |
| Sonnet 5 | $0.00005 | $0.00109 |
| Haiku 4.5 | $0.00003 | $0.00055 |
Grade A, and why
treat 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 11d 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
Apply a pruning prescription to the current session. Default is standard if no argument given.
When to use treat vs reload: prefer the reload skill — it does the same prune plus auto-resume in one step (/exit → new terminal opens with the pruned session). Use treat only when the user explicitly wants to stay in the current session, work in a multi-pane setup, or resume manually.
Steps
-
Diagnose first — show the user what they're working with:
cozempic current --diagnose -
Dry-run the treatment — show savings without applying:
cozempic treat current -rx $ARGUMENTSIf no argument was provided, use
standard:cozempic treat current -rx standard -
Show results — present the dry-run output including token savings (the
Tokens:line). Always surface both byte and token savings. -
Ask confirmation — use AskUserQuestion to confirm before applying.
-
Apply on confirmation:
cozempic treat current -rx $ARGUMENTS --execute -
Tell the user: "Treatment applied. A backup was created automatically. To resume with the pruned session, exit and run
claude --resume. (Tip: next time, thereloadskill does this in one step —/exitand a fresh terminal opens automatically.)"
Prescriptions
| Rx | Strategies | Typical Savings |
|---|---|---|
gentle |
progress-collapse, file-history-dedup, metadata-strip | 40-55% |
standard |
gentle + thinking-blocks, tool-output-trim, stale-reads, system-reminder-dedup | 50-70% |
aggressive |
standard + error-retry-collapse, document-dedup, mega-block-trim, envelope-strip | 70-95% |
Safety
- Always dry-run first — never execute without showing the user what will change
- Backups are automatic (timestamped .bak files)
- Never touches uuid/parentUuid — conversation DAG stays intact
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.
- 11d ago First seen · 52 lines · 25 tokens per session scan A 69a920a25190
treat is a skill published in the GitHub repository Ruya-AI/cozempic (413 stars, last pushed 2mo ago), licensed MIT. It adds 25 tokens to every session and 547 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.
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