Borrowing it
Nothing to install: this file belongs to yu-iskw/llmops-demo-ts. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/yu-iskw/llmops-demo-ts/main/.claude/skills/deploy/SKILL.mdgit clone --depth 1 https://github.com/yu-iskw/llmops-demo-tsWrote 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/yu-iskw/llmops-demo-ts/deploy)<a href="https://agentmods.dev/skills/yu-iskw/llmops-demo-ts/deploy"><img src="https://agentmods.dev/badge/skills/yu-iskw/llmops-demo-ts/deploy.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 5.1 | $0.00020 | $0.00276 |
| Opus 5 | $0.00010 | $0.00138 |
| Sonnet 5 | $0.00004 | $0.00055 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
deploy scanned grade A with 1 finding 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
1. Health check: `curl http://localhost:3000/health` What it actually says
Deploy
Execute the following deployment/infrastructure task:
$ARGUMENTS
Pre-deployment Checklist
- Verify build:
pnpm build - Run tests:
pnpm test - Check lint:
pnpm lint - Review environment: Verify .env configuration
Docker Deployment
# Build and start all services
docker-compose up --build
# Build specific service
docker-compose build [service-name]
# View logs
docker-compose logs -f [service-name]
Environment Variables
Required variables (see .template.env):
GOOGLE_CLOUD_PROJECT/GOOGLE_API_KEY— AI provider credentialsLANGSMITH_API_KEY— Observability (optional)PORT— Backend server port (default: 3000)
Post-deployment Verification
- Health check:
curl http://localhost:3000/health - Agent types:
curl http://localhost:3000/chat/agent-types - Test chat: Send a test message through the UI or API
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.
- 3d ago First seen · 47 lines · 20 tokens per session scan A 378f8ba19b9d
deploy is a skill published in the GitHub repository yu-iskw/llmops-demo-ts (6 stars, last pushed 7d ago), licensed Apache-2.0. It adds 20 tokens to every session and 276 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
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