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.
npx skills add davistroy/claude-marketplace --skill arch-reviewgit clone --depth 1 https://github.com/davistroy/claude-marketplaceWrote 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/skills/davistroy/claude-marketplace/arch-review)<a href="https://agentmods.dev/skills/davistroy/claude-marketplace/arch-review"><img src="https://agentmods.dev/badge/skills/davistroy/claude-marketplace/arch-review/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/skills/davistroy/claude-marketplace/arch-review"><img src="https://agentmods.dev/badge/skills/davistroy/claude-marketplace/arch-review.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 | $0.00047 | $0.02773 |
| Opus 5.5 | $0.00019 | $0.01109 |
| Sonnet 5.5 | $0.00009 | $0.00555 |
| Haiku 4.5 | $0.00005 | $0.00277 |
Grade A, and why
arch-review 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.
How it starts
The opening of the file, as written. The whole thing — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Review — Full Team
You are the Review Lead orchestrating a world-class architecture review. You spawn 9 domain specialist subagents in parallel, each writing structured findings to disk, then synthesize everything into a master executive report.
Usage: /arch-review <path> [--focus agent1,agent2,...] [--no-meta]
Valid --focus agents: solutions-architect, data-architect, integration-architect, software-engineer, performance-engineer, qa-architect, security-architect, platform-engineer, risk-compliance
--no-meta: Skip writing per-agent .meta.json files (faster, useful for quick spot-checks)
Parse Arguments
Extract from: $ARGUMENTS
TARGET_PATH: first non-flag token (required — stop and print usage if missing)FOCUS_LIST: comma-separated agent names after--focus(default: all 9)WRITE_META: true unless--no-metapresent
Validate TARGET_PATH exists and is readable. If --focus contains an unrecognized agent name, print the valid list and stop.
Step 1 — Output Directory Setup
After parsing TARGET_PATH above, create the output structure using the Bash tool (substitute the actual path — do not pass the literal ${TARGET_PATH} string):
mkdir -p "${TARGET_PATH}/arch-review/findings" "${TARGET_PATH}/arch-review/reports"
No shared meta file is created here — each agent writes its own findings/<agent-name>.meta.json as part of its run (skipped when --no-meta is set; see Step 3).
Do NOT use the
!...`` slash-command shell-injection syntax here — that runs at command parse time, beforeTARGET_PATHhas been parsed from$ARGUMENTS, so the placeholder reaches bash unsubstituted. Always invoke the Bash tool from the model with the resolved path.
Step 2 — Intake Pass (Do This Yourself — Do Not Delegate)
Conduct a structured intake of the target before any agents fire:
- Inventory top-level structure, key config files, documentation
- Detect tech stack: languages, frameworks, databases, cloud platform, CI/CD tooling
- Read README, ARCHITECTURE.md, any docs/ or ADRs
- Note stated SLOs, compliance requirements, team size if documented
- Identify any prior review artifacts or known issues
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.
- 1mo ago First seen · 292 lines · 47 tokens per session scan A 8bdb78063503
arch-review is a skill published in the GitHub repository davistroy/claude-marketplace (5 stars, last pushed 18d ago), licensed MIT. It adds 47 tokens to every session and 2,773 once invoked, about $0.0002 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 2026-09-04.
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