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 GoogilyBoogily/googilyboogily-claude-power-tools --skill arch-pipelinegit clone --depth 1 https://github.com/GoogilyBoogily/googilyboogily-claude-power-toolsWrote 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/googilyboogily/googilyboogily-claude-power-tools/arch-pipeline)<a href="https://agentmods.dev/skills/googilyboogily/googilyboogily-claude-power-tools/arch-pipeline"><img src="https://agentmods.dev/badge/skills/googilyboogily/googilyboogily-claude-power-tools/arch-pipeline/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/googilyboogily/googilyboogily-claude-power-tools/arch-pipeline"><img src="https://agentmods.dev/badge/skills/googilyboogily/googilyboogily-claude-power-tools/arch-pipeline.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 | $0.00095 | $0.04024 |
| Opus 5 | $0.00048 | $0.02012 |
| Sonnet 5 | $0.00019 | $0.00805 |
| Haiku 4.5 | $0.00010 | $0.00402 |
Grade A, and why
arch-pipeline 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 12d 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 — 498 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Documentation Pipeline
Run the complete ADR → HLD(s) → LLD(s) pipeline with context isolation, state persistence, quality audits, and context-clearing prompts. Each phase (discuss, research, gather, generate, audit) runs in its own forked context. The orchestrator tracks file paths, decisions, and verdicts — it never reads document content.
One ADR can produce multiple HLDs (one per subsystem), and each HLD can produce multiple LLDs (one per component). Single-document is the default — fan-out is opt-in.
Input
$ARGUMENTS — the decision topic (e.g., "migrate from REST to GraphQL") or --resume to continue from saved state.
Pipeline Overview
Phase 1: ADR Discuss → decisions file
Phase 2: ADR Research → RESEARCH.md
Phase 3: ADR Gather → context file (compiles from 1+2)
Phase 4: ADR Generate → ADR document
Phase 5: ADR Audit → audit report
CHECKPOINT — HLD Scoping + Context Clear Prompt
FOR EACH HLD [i]:
Phase 6-i: HLD Discuss → decisions file
Phase 7-i: HLD Research → RESEARCH.md
Phase 8-i: HLD Gather → context file
Phase 9-i: HLD Generate → HLD document
Phase 10-i: HLD Audit → audit report
CHECKPOINT — LLD Scoping + Context Clear Prompt
FOR EACH LLD [j]:
Phase 11-i-j: LLD Discuss → decisions file
Phase 12-i-j: LLD Research → RESEARCH.md
Phase 13-i-j: LLD Gather → context file
Phase 14-i-j: LLD Generate → LLD document
Phase 15-i-j: LLD Audit → audit report
Pipeline Complete — tree summary + implement option
Every phase skill runs with context: fork — the orchestrator stays lean, tracking only file paths, decisions, and verdicts.
Process
State Tracking
Maintain these variables throughout the pipeline:
ADR (single):
$ADR_DECISIONS_PATH— decisions file from discuss$ADR_RESEARCH_PATH— research file$ADR_CONTEXT_PATH— compiled context file$ADR_PATH— generated ADR document$ADR_AUDIT_VERDICT— PASS / PASS WITH WARNINGS / FAIL
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.
- 12d ago First seen · 498 lines · 95 tokens per session scan A 97ce4328a1d9
arch-pipeline is a skill published in the GitHub repository GoogilyBoogily/googilyboogily-claude-power-tools (2 stars, last pushed 4mo ago), licensed MIT. It adds 95 tokens to every session and 4,024 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 2026-08-31.
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