asset-tracker-production-ssh

asset-tracker-production-ssh is a skill for Codex from daidaibunny/agent-skills. It costs 52 tokens per session (653 once invoked), scanned B, original, no licence file.

A procedure for connecting to the production server for a finance-tracking application over SSH. It covers inspecting the live repository, updating it with Git, running Docker Compose, and checking services such as the backend, worker, web server, PostgreSQL, and Redis.

In plain words
What is it for?
Use it when checking the production repository, pulling changes, restarting containers, or verifying the application, background worker, web server, database, and cache.
Why use it?
It provides a defined way to inspect and operate the live system instead of guessing which remote commands or services to use. Production is the environment serving real users and data.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it when checking the production repository, pulling changes, restarting containers, or verifying the application, background worker, web server, database, and cache.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/daidaibunny/agent-skills/asset-tracker-production-ssh
Install

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.

Any agent
npx skills add daidaibunny/agent-skills --skill asset-tracker-production-ssh
Clone the repo
git clone --depth 1 https://github.com/daidaibunny/agent-skills

Made for: Codex.

Wrote 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.

agentmods badge for asset-tracker-production-ssh

README.md
[![agentmods](https://agentmods.dev/badge/skills/daidaibunny/agent-skills/asset-tracker-production-ssh/github.svg)](https://agentmods.dev/skills/daidaibunny/agent-skills/asset-tracker-production-ssh)
Your own site
<a href="https://agentmods.dev/skills/daidaibunny/agent-skills/asset-tracker-production-ssh"><img src="https://agentmods.dev/badge/skills/daidaibunny/agent-skills/asset-tracker-production-ssh/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.

agentmods 80×15 button for asset-tracker-production-ssh

Your own site · 80×15
<a href="https://agentmods.dev/skills/daidaibunny/agent-skills/asset-tracker-production-ssh"><img src="https://agentmods.dev/badge/skills/daidaibunny/agent-skills/asset-tracker-production-ssh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 653 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.00653
Opus 5 $0.00026 $0.00327
Sonnet 5 $0.00010 $0.00131
Haiku 4.5 $0.00005 $0.00065

Measured 11d ago against content hash 5b4d2f3fb926, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

asset-tracker-production-ssh scanned grade B with 2 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.

Sends data to an external URLmediumData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

ssh asset-tracker-aws 'cd ~/finance--tracker && docker compose -f docker-compose.yml -f docker-compose.production.yml ps && curl -k -fsS https://127.0.0.1/api/health && echo && docker compose -f docker-compose.yml -f doc

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

ssh asset-tracker-aws 'cd ~/finance--tracker && docker compose -f docker-compose.yml -f docker-compose.production.yml ps && curl -k -fsS https://127.0.0.1/api/health && echo && docker compose -f docker-compose.yml -f doc
asset-tracker-production-ssh/SKILL.md · 62 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

1 file 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.

Changes

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.

  1. 11d ago First seen · 62 lines · 52 tokens per session scan B 5b4d2f3fb926

Subscribe to this mod's changes

asset-tracker-production-ssh is a skill published in the GitHub repository daidaibunny/agent-skills (2 stars, last pushed 3mo ago), with no licence file. It adds 52 tokens to every session and 653 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

deploy-docker-compose

Run the Omnigent server as a Docker compose stack (server + Postgres) on any Docker host — your laptop, a VPS, EC2 by hand, or as the base layer of any container-platform deploy. Invoke when the user wants to build the image, bring up the compose stack, debug the stack on a host they already have, or extend the stack…

omnigent-ai/omnigent · 84 tokens

compute-env-setup

Set up a reproducible Feynman compute environment for research jobs. Use when a task needs Python/R packages, GPU libraries, containers, Modal, SSH, caches, or managed model runtime setup.

companion-inc/feynman · 45 tokens

securing-kubernetes-on-cloud

This skill covers hardening managed Kubernetes clusters on EKS, AKS, and GKE by implementing Pod Security Standards, network policies, workload identity, RBAC scoping, image admission controls, and runtime security monitoring. It addresses cloud-specific security features including IRSA for EKS, Workload Identity for…

xalgorix/xalgorix · 80 tokens

detecting-privilege-escalation-in-kubernetes-pods

Detect and prevent privilege escalation in Kubernetes pods by monitoring security contexts, capabilities, and syscall patterns with Falco and OPA policies.

xalgorix/xalgorix · 40 tokens

implementing-rbac-hardening-for-kubernetes

Harden Kubernetes Role-Based Access Control by implementing least-privilege policies, auditing role bindings, eliminating cluster-admin sprawl, and integrating external identity providers.

xalgorix/xalgorix · 41 tokens

docker-socket-mount

Docker / containerd socket mounted into a container → host RCE. Common in CI runners, GitOps controllers (ArgoCD, Flux), and 'Docker-in-Docker' setups. Single-command escape via docker run --rm --privileged -v /:/host alpine chroot /host.

PurpleAILAB/Decepticon · 67 tokens