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 skills/mpaarating/ai-workflow-kit/plantsnpx skills add mpaarating/ai-workflow-kit --skill plantsgit clone --depth 1 https://github.com/mpaarating/ai-workflow-kitWhat 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 | $0.00013 | $0.00709 |
| Opus 5 | $0.00006 | $0.00354 |
| Sonnet 5 | $0.00003 | $0.00142 |
| Haiku 4.5 | $0.00001 | $0.00071 |
Grade A, and why
plants 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plants
Keep your houseplants alive. Track watering, status, and care needs in one place.
Trigger Phrases
- "water plants"
- "plant update"
- "plant check"
- "how are my plants"
- "new plant: [name]"
Workflow
On "plant check" / "how are my plants"
Read the plant database and display a status table:
| Plant | Status | Last Watered | Water Needs | Light |
|----------------|------------|--------------|-------------|---------|
| Pothos | Thriving | Mar 17 | Weekly | Low |
| Fiddle Leaf | Struggling | Mar 10 | Biweekly | Bright |
| Snake Plant | Healthy | Mar 15 | Monthly | Any |
Flag any plants that are overdue for watering based on their schedule and last watered date.
On "water plants" / "watered [plant]"
Update the "Last Watered" date for the specified plant(s) to today.
- If no specific plant named, ask: "Which plants did you water? Or all of them?"
- If "all", update every plant
- Confirm:
Logged: Watered Pothos, Snake Plant (Mar 19)
On "new plant: [name]"
Add a new plant to the database. Ask for (or infer from the plant name):
- Water needs: Weekly, Biweekly, Monthly
- Light needs: Low, Medium, Bright, Any
- Pet-friendly: Yes/No
Set initial status to "New" and last watered to today.
If the user provides just a name, look up common care requirements for that plant species and suggest defaults. Confirm before saving.
Added: "Monstera" — Bright light, weekly water, not pet-friendly. Status: New
On "plant update" / status change
Update a plant's status. Valid statuses:
- Thriving — Growing well, new leaves
- Healthy — Normal, no concerns
- Struggling — Yellowing, drooping, pests
- New — Recently acquired
Ask what changed if not specified. Update the record and confirm.
Storage
Using {{notes}}: Store as a database/table with columns: Name, Status, Water Needs, Light Needs, Last Watered, Next Repot, Pet-Friendly.
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.
- 2d ago First seen · 103 lines · 13 tokens per session scan A cd476e19b1ab
plants is a skill published in the GitHub repository mpaarating/ai-workflow-kit (2 stars, last pushed 3mo ago), licensed MIT. It adds 13 tokens to every session and 709 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.
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