agentmods.dev

dev

A development workflow for resolving a numbered GitHub issue in the ar-plugins repository. It covers planning, checking sources, making the code change, testing it, and opening a pull request for review.

In plain words
What is it for?
Use it to add or fix a plugin, update marketplace or documentation files, and submit the finished work as a pull request.
Why use it?
It gives a repeatable process for turning an issue into a checked-in change without forgetting repository rules or verification steps.

Skill for Claude CodeCodex

4 3mo ago A scan 33 tokens original MIT
View the source file kvothesson/ar-plugins
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.

agentmods
npx agentmods add skills/kvothesson/ar-plugins/dev
Any agent
npx skills add kvothesson/ar-plugins --skill dev
Clone the repo
git clone --depth 1 https://github.com/kvothesson/ar-plugins

Made for: Claude Code, Codex.

Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,904 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00033 $0.01904
Opus 5 $0.00016 $0.00952
Sonnet 5 $0.00007 $0.00381
Haiku 4.5 $0.00003 $0.00190

Measured yesterday against content hash a7eb6927e051, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dev 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 yesterday.

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.

skills/dev/SKILL.md · 259 lines

How it starts

The opening of the file, as written. The whole thing — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: /dev

Comandos

/dev resolver #<número>

Resolvé el issue indicado de kvothesson/ar-plugins, implementá el cambio, verificá que funcione y abrí un PR.

Paso 0 — Leer el issue y generar el plan
gh issue view <número> --repo kvothesson/ar-plugins

Antes de tocar cualquier archivo, determiná qué tipo de cambio es y generá la todolist con TodoWrite. Los ítems deben ser específicos para este issue — no genéricos. Ejemplos según tipo:

Plugin nuevo:

  • Leer AGENT.md y SPEC.md
  • Verificar fuentes: [url1], [url2] (una por skill planificada)
  • Crear branch feat/issue-N-nombre
  • Crear estructura: plugin.json, SKILL.md, README, .gitignore
  • Testear cada comando del SKILL.md
  • Verificar checklist completo
  • Commit y push
  • Agregar entrada a marketplace.json
  • Actualizar README de ar-plugins si agrega skills/workflows
  • Abrir PR

Fix de plugin existente:

  • Leer AGENT.md
  • Clonar repo kvothesson/
  • Crear branch fix/issue-N-descripcion
  • Implementar el fix concreto: [qué hay que cambiar]
  • Verificar que la URL/fuente afectada responde
  • Commit y push
  • Abrir PR

Cambio en marketplace o docs:

  • Leer AGENT.md
  • Crear branch y hacer el cambio puntual
  • Commit y push
  • Abrir PR

Marcá cada ítem como completado a medida que avanzás.

Paso 1 — Leer el contexto

Determiná el tipo de cambio:

  • Plugin nuevo → seguir flujo completo
  • Fix o actualización de plugin existente → clonar ese repo y modificar
  • Cambio en marketplace o docs → modificar directamente en ar-plugins
Paso 2 — Leer el contexto

Siempre leer AGENT.md antes de tocar archivos:

gh api repos/kvothesson/ar-plugins/contents/AGENT.md --jq '.content' | base64 -d

Si es plugin nuevo, leer también SPEC.md para la descripción completa del plugin:

gh api repos/kvothesson/ar-plugins/contents/SPEC.md --jq '.content' | base64 -d

Para ver un plugin de referencia:

Read the full file on GitHub · 259 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. yesterday First seen · 259 lines · 33 tokens per session scan A a7eb6927e051

Subscribe to this mod's changes

dev is a skill published in the GitHub repository kvothesson/ar-plugins (4 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 1,904 once invoked, about $0.0002 per session on Opus 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.

Code reviewData and AILLMTestingaiargentinaclaude-codedatos-publicosmcp
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