Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/DemonDamon/AgenticXnpx agentmods add skills/demondamon/agenticx/agenticx-deployerWrote 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/demondamon/agenticx/agenticx-deployer)<a href="https://agentmods.dev/skills/demondamon/agenticx/agenticx-deployer"><img src="https://agentmods.dev/badge/skills/demondamon/agenticx/agenticx-deployer/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/demondamon/agenticx/agenticx-deployer"><img src="https://agentmods.dev/badge/skills/demondamon/agenticx/agenticx-deployer.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 MCP Rug Pull · line 60 Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.Fix: Pin the image: image:tag or image@sha256:abc123
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 | $0.00069 | $0.00911 |
| Opus 5.5 | $0.00028 | $0.00364 |
| Sonnet 5.5 | $0.00014 | $0.00182 |
| Haiku 4.5 | $0.00007 | $0.00091 |
Grade A, and why
agenticx-deployer 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 21d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- agenticx-deployer — 100% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AgenticX Deployer
Guide for taking AgenticX agents from development to production.
Deployment Options
| Method | Best For | Command |
|---|---|---|
| API Server | Quick deployment, development | agx serve |
| Docker | Single-node, reproducible | agx deploy docker |
| Kubernetes | Multi-node, auto-scaling | agx deploy k8s |
| Volcengine | Cloud-native, managed | agx volcengine deploy |
API Server
Start Server
# Default (0.0.0.0:8000)
agx serve
# Custom port + host
agx serve --port 9000 --host 127.0.0.1
# Development with auto-reload
agx serve --port 8000 --reload
Requires: pip install "agenticx[server]"
Health Endpoints
| Endpoint | Purpose |
|---|---|
GET /health |
Comprehensive health check |
GET /health/live |
Liveness probe |
GET /health/ready |
Readiness probe |
POST /tasks/submit |
Submit a task |
Docker Deployment
Prepare & Build
# Prepare deployment package
agx deploy prepare --output ./deploy-package
# Build Docker image
agx deploy docker --tag my-agent:latest
# Run container
docker run -p 8000:8000 \
-e OPENAI_API_KEY="sk-..." \
my-agent:latest
Custom Dockerfile
FROM python:3.11-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
EXPOSE 8000
CMD ["agx", "serve", "--port", "8000"]
Kubernetes Deployment
# Generate K8s manifests
agx deploy k8s --output ./k8s-manifests
# Apply to cluster
kubectl apply -f ./k8s-manifests/
Generated manifests include:
- Deployment with health probes
- Service (ClusterIP)
- ConfigMap for non-sensitive config
- Secret template for API keys
- HPA for auto-scaling
Volcengine AgentKit
Cloud-native deployment on Volcengine's managed platform.
Requires: pip install "agenticx[volcengine]"
Setup
# Initialize project
agx volcengine init
# Configure credentials
agx volcengine config \
--access-key YOUR_AK \
--secret-key YOUR_SK \
--region cn-beijing
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.
- 21d ago Changed 2ec064078a8f
- 1mo ago Changed a66a4eb09def
- 1mo ago First seen · 158 lines · 69 tokens per session scan A b4bdf41a78fa
agenticx-deployer is a skill published in the GitHub repository DemonDamon/AgenticX (590 stars, last pushed today), licensed Apache-2.0. It adds 69 tokens to every session and 911 once invoked, about $0.0003 per session on Opus 5.5. 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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