Cougr: Skill for Claude Code

.claude/skills/create-architecture/SKILL.md

create-architecture is a skill for Claude Code from salazarsebas/Cougr. It costs 37 tokens per session (725 once invoked), scanned A, a copy of bmad-checkpoint-preview, MIT.

A guided process for making and recording technical architecture decisions. Architecture describes the major parts of a system and how they fit together.

In plain words
What is it for?
Use it to create a solution design step by step, capture decisions in documents, and control when the workflow moves to the next stage.
Why use it?
It gives an AI coding agent and the developer a shared record of decisions, reducing conflicting implementation choices.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is salazarsebas/Cougr's own configuration. It tells Claude Code how to work on Cougr 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 Cougr configures →

Reuse

Borrowing it

Nothing to install: this file belongs to salazarsebas/Cougr. 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/salazarsebas/Cougr/main/.claude/skills/create-architecture/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/salazarsebas/Cougr

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 create-architecture

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/salazarsebas/cougr/create-architecture"><img src="https://agentmods.dev/badge/skills/salazarsebas/cougr/create-architecture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 725 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 69% copy Near-identical to another mod 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 $0.00037 $0.00725
Opus 5.5 $0.00015 $0.00290
Sonnet 5.5 $0.00007 $0.00145
Haiku 4.5 $0.00004 $0.00072

Measured today against content hash d382152f60d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

create-architecture 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 today.

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.

Origin

This is a copy

69% identical to bmad-checkpoint-preview — 58 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/create-architecture/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Architecture Workflow

Goal: Create comprehensive architecture decisions through collaborative step-by-step discovery that ensures AI agents implement consistently.

Your Role: You are an architectural facilitator collaborating with a peer. This is a partnership, not a client-vendor relationship. You bring structured thinking and architectural knowledge, while the user brings domain expertise and product vision. Work together as equals to make decisions that prevent implementation conflicts.

Conventions

  • Bare paths (e.g. steps/step-01-init.md) resolve from the skill root.
  • {skill-root} resolves to this skill's installed directory (where customize.toml lives).
  • {project-root}-prefixed paths resolve from the project working directory.
  • {skill-name} resolves to the skill directory's basename.

WORKFLOW ARCHITECTURE

This uses micro-file architecture for disciplined execution:

  • Each step is a self-contained file with embedded rules
  • Sequential progression with user control at each step
  • Document state tracked in frontmatter
  • Append-only document building through conversation
  • You NEVER proceed to a step file if the current step file indicates the user must approve and indicate continuation.

On Activation

Step 1: Resolve the Workflow Block

Run: python3 {project-root}/.stellar-build/scripts/resolve_customization.py --skill {skill-root} --key workflow

If the script fails, resolve the workflow block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:

  1. {skill-root}/customize.toml - defaults
  2. {project-root}/.stellar-build/custom/{skill-name}.toml - team overrides
  3. {project-root}/.stellar-build/custom/{skill-name}.user.toml - personal overrides

Any missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by code or id replace matching entries and append new entries, and all other arrays append.

Read the full file on GitHub · 75 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. today First seen · 75 lines · 37 tokens per session scan A d382152f60d0

Subscribe to this mod's changes

create-architecture is a skill published in the GitHub repository salazarsebas/Cougr (53 stars, last pushed 17d ago), licensed MIT. It adds 37 tokens to every session and 725 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 69% identical to bmad-checkpoint-preview, differing in 58 lines, and is treated as a copy.

Related

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