publish-mock-server

publish-mock-server is a skill for Claude Code from vfarcic/dot-ai. It costs 34 tokens per session (727 once invoked), scanned B, original, MIT.

A release guide for building a mock server Docker image and publishing it to GitHub Container Registry, a service for storing container images.

In plain words
What is it for?
It is for building and pushing versioned mock-server images for both arm64 and amd64 systems.
Why use it?
It provides the required build, authentication, and multi-platform publishing steps when mock-server code or test fixtures change.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit It is for building and pushing versioned mock-server images for both arm64 and amd64 systems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vfarcic/dot-ai/publish-mock-server
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 vfarcic/dot-ai --skill publish-mock-server
Clone the repo
git clone --depth 1 https://github.com/vfarcic/dot-ai

Made for: Claude Code.

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 publish-mock-server

README.md
[![agentmods](https://agentmods.dev/badge/skills/vfarcic/dot-ai/publish-mock-server/github.svg)](https://agentmods.dev/skills/vfarcic/dot-ai/publish-mock-server)
Your own site
<a href="https://agentmods.dev/skills/vfarcic/dot-ai/publish-mock-server"><img src="https://agentmods.dev/badge/skills/vfarcic/dot-ai/publish-mock-server/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 publish-mock-server

Your own site · 80×15
<a href="https://agentmods.dev/skills/vfarcic/dot-ai/publish-mock-server"><img src="https://agentmods.dev/badge/skills/vfarcic/dot-ai/publish-mock-server.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 727 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 4 findings, up to high

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 →

  • high Privilege Escalation · line 29
    Potential security issue detected. Manual review is recommended.
    Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
  • medium Privilege Escalation · line 12
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium MCP Rug Pull · line 29
    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
  • low Tool Misuse · line 29
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
How audits are shown
Origin original 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 $0.00034 $0.00727
Opus 5 $0.00017 $0.00364
Sonnet 5 $0.00007 $0.00145
Haiku 4.5 $0.00003 $0.00073

Measured 9d ago against content hash 93b38fd4fe22, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade B, and why

publish-mock-server scanned grade B 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 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

- Docker is installed and running (use `sudo docker` if your user is not in the `docker` group)
.claude/skills/publish-mock-server/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Publish Mock Server

Build and publish the mock-server Docker image to ghcr.io/vfarcic/dot-ai-mock-server:latest.

Prerequisites

  • Docker is installed and running (use sudo docker if your user is not in the docker group)
  • Authenticated to ghcr.io. The simplest path is to reuse the gh token (needs write:packages scope):
    gh auth token | docker login ghcr.io -u vfarcic --password-stdin
    

Steps

Run all commands from the repository root. The build context is the mock-server/ directory (relative — do NOT hardcode an absolute path).

  1. Set up a multi-arch builder (one-time per machine)

    The default docker driver cannot push a multi-platform manifest, and building arm64 on an amd64 host needs QEMU. Register the emulator and create a container-driver builder:

    docker run --privileged --rm tonistiigi/binfmt --install arm64
    docker buildx create --name mockbuilder --driver docker-container --use --bootstrap
    
  2. Build and push multi-arch Docker image

    Tag both latest and the current dot-ai release version (so downstream repos can pin to a contract version instead of a digest). Derive the version from the root package.json:

    VERSION=$(node -p "require('./package.json').version")
    docker buildx build --builder mockbuilder \
      --platform linux/amd64,linux/arm64 \
      -t ghcr.io/vfarcic/dot-ai-mock-server:latest \
      -t ghcr.io/vfarcic/dot-ai-mock-server:$VERSION \
      --push mock-server
    
  3. Verify the push

    Confirm both tags resolve to the same digest and carry both platforms:

    docker buildx imagetools inspect ghcr.io/vfarcic/dot-ai-mock-server:latest
    

    Note the manifest-list digest (sha256:…) — downstream repos pin to it.

Usage

After publishing, consumers (like dot-ai-ui) can use:

services:
  mock-api:
    image: ghcr.io/vfarcic/dot-ai-mock-server:latest
    ports:
      - "3001:3001"

When to Publish

Read the full file on GitHub · 83 lines

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. 9d ago First seen · 83 lines · 34 tokens per session scan B 93b38fd4fe22

Subscribe to this mod's changes

publish-mock-server is a skill published in the GitHub repository vfarcic/dot-ai (336 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 727 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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