appkit: Skill for Claude Code

.claude/skills/appkit-commons/SKILL.md

appkit-commons is a skill for Claude Code from jenreh/appkit. It costs 72 tokens per session (2,673 once invoked), scanned A, original, MIT.

A set of development rules for adding features to an application. It covers configuration, dependency injection, saving data, and scheduled tasks.

In plain words
What is it for?
Setting up application configuration, connecting services, handling persistence, and adding scheduled jobs.
Why use it?
It gives developers a consistent structure for common application work before they write a new feature.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is jenreh/appkit's own configuration. It tells Claude Code how to work on appkit itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything appkit configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jenreh/appkit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/jenreh/appkit/main/.claude/skills/appkit-commons/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/jenreh/appkit

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 appkit-commons

README.md
[![agentmods](https://agentmods.dev/badge/skills/jenreh/appkit/appkit-commons/github.svg)](https://agentmods.dev/skills/jenreh/appkit/appkit-commons)
Your own site
<a href="https://agentmods.dev/skills/jenreh/appkit/appkit-commons"><img src="https://agentmods.dev/badge/skills/jenreh/appkit/appkit-commons/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 appkit-commons

Your own site · 80×15
<a href="https://agentmods.dev/skills/jenreh/appkit/appkit-commons"><img src="https://agentmods.dev/badge/skills/jenreh/appkit/appkit-commons.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,673 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00072 $0.02673
Opus 5.5 $0.00029 $0.01069
Sonnet 5.5 $0.00014 $0.00535
Haiku 4.5 $0.00007 $0.00267

Measured 1mo ago against content hash db7edcf3ef83, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

appkit-commons 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 1mo 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.

.claude/skills/appkit-commons/SKILL.md · 405 lines

How it starts

The opening of the file, as written. The whole thing — 405 lines — stays where its author put it; the contents beside it link to each section on GitHub.

appkit-commons Best Practices

Read before writing any new feature. Covers configuration, DI, persistence, and scheduling.


1. Configuration

App initialization pattern

Define a cached configure() function in config.py. Call it from __init__.py before anything else.

# config.py
from functools import lru_cache
from appkit_commons.configuration import BaseConfig
from appkit_commons.configuration.configuration import Configuration, Environment
from appkit_commons.registry import service_registry


class MyFeatureConfig(BaseConfig):
    api_url: str | None = None
    api_key: str = ""


class ApplicationConfig(BaseConfig):
    version: str
    name: str
    logging: str
    environment: Environment | None = Environment.local
    my_feature: MyFeatureConfig = MyFeatureConfig()


@lru_cache(maxsize=1)
def configure() -> Configuration[ApplicationConfig]:
    return service_registry().configure(ApplicationConfig, env_file=".env")
# __init__.py
import logging
from dotenv import load_dotenv
from myapp.config import configure
from appkit_commons.configuration.logging import init_logging

logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s")

load_dotenv(override=True)
configuration = configure()
init_logging(configuration)

service_registry().configure() auto-registers every nested config object by its own type — ApplicationConfig, MyFeatureConfig, DatabaseConfig, ServerConfig, etc. are all retrievable after this call.

Accessing config anywhere

Use service_registry().get() with the exact config class. Always call inside functions/methods, never at module level.

from appkit_commons.registry import service_registry
from myapp.config import ApplicationConfig, LlmConfig, MyFeatureConfig

# top-level app config
cfg = service_registry().get(ApplicationConfig)
log.info("Starting %s v%s", cfg.name, cfg.version)

# nested sub-config — registered automatically by configure()
llm_cfg = service_registry().get(LlmConfig)
feature_cfg = service_registry().get(MyFeatureConfig)

Read the full file on GitHub · 405 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. 1mo ago First seen · 405 lines · 72 tokens per session scan A db7edcf3ef83

Subscribe to this mod's changes

appkit-commons is a skill published in the GitHub repository jenreh/appkit (4 stars, last pushed 2d ago), licensed MIT. It adds 72 tokens to every session and 2,673 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 2026-08-31.

Related

Other skills, from other repositories

architecture-diagram

Create a professional, dark-themed software/system architecture diagram as a single self-contained HTML file with inline SVG. Use when asked to visualize system components, layers, services, or how parts of a codebase fit together.

AgentEra/Agently · 47 tokens

nanobanana

Generate and edit real images with Gemini's Nano Banana — game sprites, sprite sheets and animated GIFs, illustrated icons, textures, mockups, photo edits, background removal. Use whenever a task needs a raster image that cannot be hand-written as SVG or CSS, when asked to "make a sprite", "draw", "generate an image"…

NspxMiguel/NanoBridge · 139 tokens

python-patterns

Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.

khanhhuyenngo985-sys/character-scene-design-skills · 33 tokens

schema-exploration

Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.

langchain-ai/deepagents · 57 tokens

matlab

Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

K-Dense-AI/scientific-agent-skills · 44 tokens

mem0-oss-to-platform

Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient). TRIGGER when: the developer wants to move, switch, or migrate mem0 off OSS/self-hosted to the hosted API, e.g. "migrate my mem0 setup to the platform", "switch…

mem0ai/mem0 · 217 tokens