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 tdimino/claude-code-minoan --skill stock-monitorgit clone --depth 1 https://github.com/tdimino/claude-code-minoanWrote 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/tdimino/claude-code-minoan/stock-monitor)<a href="https://agentmods.dev/skills/tdimino/claude-code-minoan/stock-monitor"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/stock-monitor/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/tdimino/claude-code-minoan/stock-monitor"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/stock-monitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 58 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00082 | $0.00713 |
| Opus 5 | $0.00041 | $0.00357 |
| Sonnet 5 | $0.00016 | $0.00143 |
| Haiku 4.5 | $0.00008 | $0.00071 |
Grade A, and why
stock-monitor 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.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stock Monitor
Track product availability on Shopify stores. Get notified via SMS, Slack, or terminal when out-of-stock items come back.
Quick Start
# Add a product to watch (auto-detects name from Shopify)
python3 ~/.claude/skills/stock-monitor/scripts/stock_watch.py add "https://store.com/products/item?variant=123" --notify sms --target "+17327595647"
# Check all watched items
python3 ~/.claude/skills/stock-monitor/scripts/stock_check.py
# One-off check (no watchlist needed)
python3 ~/.claude/skills/stock-monitor/scripts/stock_check.py --url "https://store.com/products/item?variant=123"
Scripts
stock_watch.py — Manage Watchlist
| Command | Purpose |
|---|---|
stock_watch.py add URL [--name NAME] [--notify sms|slack|terminal] [--target PHONE|#CHANNEL] |
Add product to watch |
stock_watch.py list |
Show all watched items with status |
stock_watch.py remove ID |
Remove a watch |
stock_watch.py pause ID / resume ID |
Pause or resume checking |
stock_check.py — Run Checks
| Flag | Purpose |
|---|---|
| (no flags) | Check all active watches |
--id N |
Check specific watch |
--url URL |
One-off URL check, no DB write |
--dry-run |
Check without sending notifications |
--json |
JSON output for piping |
Notification Channels
- terminal (default): Colored output to stdout
- sms: Dispatches via
~/.claude/skills/sms/scripts/sms_send.py - slack: Dispatches via
~/.claude/skills/slack/scripts/slack_post.py
Notifications fire only on out_of_stock → in_stock transitions to avoid noise on repeated checks.
Scheduling
Run stock_check.py manually, or schedule recurring checks:
- Session loop:
/loop 30m python3 ~/.claude/skills/stock-monitor/scripts/stock_check.py - Persistent cron: See
references/launchd-setup.mdfor a macOS launchd plist that runs checks when Claude is closed.
How It Works
Shopify stores expose product data at /products/{handle}.js with per-variant available booleans. The skill fetches this JSON, finds the target variant by ID, and compares against the last known status in SQLite. No scraping, no browser rendering, no rate-limit concerns.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 67 lines · 82 tokens per session scan A 67f192f2349e
stock-monitor is a skill published in the GitHub repository tdimino/claude-code-minoan (41 stars, last pushed 2d ago), licensed MIT. It adds 82 tokens to every session and 713 once invoked, about $0.0004 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 2026-09-03.
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