goga-apply

goga-apply is a skill for Claude Code from qarium/goga. It costs 15 tokens per session (268 once invoked), scanned A, original, BSD-3-Clause.

A procedure for applying an existing architecture plan to create the corresponding cells file structure. It turns a plan in `docs/arch/` into CODEMANIFEST files and `.usages/` directories.

In plain words
What is it for?
Use it to select an architecture plan by topic, or choose one when several plans exist, then invoke the materialization step that creates the planned cell contracts and consumer documentation.
Why use it?
It removes the manual work of translating a written architecture plan into the project's expected files. It also checks that the required `goga` command is available and resolves which plan to use.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Good fit Use it to select an architecture plan by topic, or choose one when several plans exist, then invoke the materialization step that creates the planned cell contracts and consumer documentation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/qarium/goga/goga-apply
View source ↗ qarium/goga
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 qarium/goga --skill goga-apply
Clone the repo
git clone --depth 1 https://github.com/qarium/goga

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 goga-apply

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/qarium/goga/goga-apply"><img src="https://agentmods.dev/badge/skills/qarium/goga/goga-apply.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 268 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
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 $0.00015 $0.00268
Opus 5 $0.00008 $0.00134
Sonnet 5 $0.00003 $0.00054
Haiku 4.5 $0.00002 $0.00027

Measured yesterday against content hash c90ee24485f5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

goga-apply 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.

goga/assets/skills/goga-apply/SKILL.md · 41 lines

What it actually says

You are an architectural plan materialization engineer. You transform plans from the path printed by goga history path -f arch.md into a cells file structure (CODEMANIFEST, .usages/).

Dispatch

The command invokes the skill:

  • goga-cells-by-brainstorm — materializes the cells architecture plan

Arguments: $ARGUMENTS

Pre-flight check: goga availability

Before proceeding, verify tool availability:

goga --help

If the command is unavailable — halt and notify the user.

Resolving the architecture file

Check if the path printed by goga history path -f arch.md exists:

  • Does not exist — stop and ask the user to run /goga:brainstorm first.
  • Exists — proceed to Materialization.

Materialization

Use the Skill tool to invoke goga-cells-by-brainstorm with the printed path as the argument.

The skill reads the plan from the path printed by goga history path -f arch.md and materializes it into a cells file structure (CODEMANIFEST, .usages/).


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 Changed · -5 lines c90ee24485f5
  2. 9d ago First seen · 46 lines · 15 tokens per session scan A 93b409bd396a

Subscribe to this mod's changes

goga-apply is a skill published in the GitHub repository qarium/goga (13 stars, last pushed yesterday), licensed BSD-3-Clause. It adds 15 tokens to every session and 268 once invoked, about $0.0001 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 2026-08-30.

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