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.
git clone --depth 1 https://github.com/dykyi-roman/awesome-claude-codeWrote 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.
[](https://agentmods.dev/commands/dykyi-roman/awesome-claude-code/audit-architecture)<a href="https://agentmods.dev/commands/dykyi-roman/awesome-claude-code/audit-architecture"><img src="https://agentmods.dev/badge/commands/dykyi-roman/awesome-claude-code/audit-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.
<a href="https://agentmods.dev/commands/dykyi-roman/awesome-claude-code/audit-architecture"><img src="https://agentmods.dev/badge/commands/dykyi-roman/awesome-claude-code/audit-architecture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00093 | $0.02057 |
| Opus 5 | $0.00046 | $0.01028 |
| Sonnet 5 | $0.00019 | $0.00411 |
| Haiku 4.5 | $0.00009 | $0.00206 |
Grade A, and why
audit-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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Audit Command
Perform a comprehensive architecture audit with actionable pattern recommendations.
Input Parsing
Parse $ARGUMENTS to extract path, level, and optional meta-instructions:
Format: <path> [level] [-- <meta-instructions>]
Arguments:
- path: Target directory or file (required, default: current directory)
- level: Audit depth - quick|standard|deep (optional, default: standard)
- -- meta-instructions: Additional focus areas or filters (optional)
Examples:
- /acc:audit-architecture ./src
- /acc:audit-architecture ./src deep
- /acc:audit-architecture ./src quick
- /acc:audit-architecture ./src -- focus on CQRS and Event Sourcing
- /acc:audit-architecture ./src deep -- only structural audit (DDD, Clean, SOLID)
- /acc:audit-architecture ./src -- level:deep (backward compatible)
Parsing rules:
- Split
$ARGUMENTSby--(space-dash-dash-space) - First part = positional arguments, Second part = meta-instructions
- In positional arguments, check if last word is a valid level (
quick|standard|deep) - If level found → extract it; remaining = path
- Also accept
level:quick|standard|deepin meta-instructions (backward compatibility) - Priority: positional > meta-instruction > default (
standard) - Default path: current directory (if empty)
Target
- Path: First part of
$ARGUMENTS(before--) - Meta-instructions: Second part (after
--) — use to customize audit scope
If meta-instructions provided, adjust audit to:
- Focus on specific patterns/auditors mentioned
- Skip certain auditors if requested (structural/behavioral/integration)
- Apply additional checks
- Modify report format if requested
Pre-flight Check
-
Verify the path exists:
- If
$ARGUMENTSis empty, ask user for the project path - If path doesn't exist, report error and stop
- If
-
Verify it's a PHP project:
- Check for
composer.jsonor*.phpfiles - If not a PHP project, report and stop
- Check for
Instructions
Execute a two-phase audit using specialized agents:
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.
- 5d ago First seen · 226 lines · 93 tokens per session scan A 3fa0361d75ad
audit-architecture is a command published in the GitHub repository dykyi-roman/awesome-claude-code (96 stars, last pushed 23d ago), licensed MIT. It adds 93 tokens to every session and 2,057 once invoked, about $0.0005 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 2026-09-03.
Other commands, from other repositories
sdd-init
Initialize SDD context — detects project stack and bootstraps persistence backend.
review-branch
Review the current branch's diff against base by dispatching atomic-reviewer. No orchestration loop, no spec required — pre-flight before /commit pr or /commit merge.
init
Install the formatters this repository needs, with every command visible before it runs.
repo-audit
Audit a codebase (local or remote GitHub/GitLab) against architecture principles and requirements, surfacing drift, risk, and missing decisions.
argos
A command for checking whether an implementation matches its design deliverables. Its Korean description compares the work to the design as part of a completion inspection.
security-review
AI-powered security review of the current git diff (or specified paths). Dispatches the security-reviewer agent and prints findings grouped by severity.