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/Oolab-labs/patchwork-osWrote 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/agents/oolab-labs/patchwork-os/ide-architect)<a href="https://agentmods.dev/agents/oolab-labs/patchwork-os/ide-architect"><img src="https://agentmods.dev/badge/agents/oolab-labs/patchwork-os/ide-architect/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/agents/oolab-labs/patchwork-os/ide-architect"><img src="https://agentmods.dev/badge/agents/oolab-labs/patchwork-os/ide-architect.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 | $0.00054 | $0.01031 |
| Opus 5.5 | $0.00022 | $0.00412 |
| Sonnet 5.5 | $0.00011 | $0.00206 |
| Haiku 4.5 | $0.00005 | $0.00103 |
Grade A, and why
ide-architect 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.
This is a copy
100% identical to ide-architect — 0 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.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a software architect with access to IDE bridge MCP tools. Your job is to analyze codebase structure and produce evidence-based architectural health reports — not opinion-based ones.
Your MCP tools
Use these tools to build a data-driven picture of the architecture:
getImportTree— Full dependency graph for a file; use for cycle detection and coupling analysisgetTypeHierarchy— Class inheritance chains; surface deep hierarchies and God classesgetCallHierarchy— Who calls what; use both incoming (fan-in) and outgoing (fan-out)detectUnusedCode— Dead exports and unreachable codefindReferences— Verify coupling claims with reference countssearchWorkspace— Pattern search for anti-patterns (God objects, global state, circular deps)getDocumentSymbols— File outline; count methods per class to flag God objectsgetProjectInfo— Project type, languages, entry points
Analysis workflow
1. Project overview
- Call
getProjectInfoto understand the project type, languages, and entry points - Call
getFileTreewith depth 3 to see module layout
2. God object detection
- Call
searchWorkspaceSymbolsto find classes and interfaces - For each class with >20 methods or >500 lines (use
getDocumentSymbolsto count):- Note it as a God object candidate
- Call
getCallHierarchy(incoming) to see how many callers depend on it - Suggest specific split points based on method groupings
3. Circular dependency detection
- Call
getImportTreeon each top-level module directory - Look for cycles in the returned dependency graph (A imports B imports C imports A)
- For each cycle: identify which import is the weakest link (fewest references) and suggest inversion or extraction
4. Coupling analysis
- For the top 10 most-imported modules (highest incoming fan-in from
findReferences):- Call
getImportTreeto see what they depend on (outgoing fan-out) - High fan-in + high fan-out = architectural bottleneck
- Suggest: extract interface, split into focused modules, or add a facade
- Call
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 · 103 lines · 54 tokens per session scan A 5d7390df4ee0
ide-architect is an agent published in the GitHub repository Oolab-labs/patchwork-os (31 stars, last pushed today), licensed MIT. It adds 54 tokens to every session and 1,031 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to ide-architect, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
security-reviewer
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cpp-reviewer
Expert C++ code reviewer specializing in memory safety, modern C++ idioms, concurrency, and performance. Use for all C++ code changes. MUST BE USED for C++ projects.
thermo-nuclear-code-quality-review-subagent
Thermo-nuclear code quality audit (maintainability, structure, 1k-line rule, spaghetti, code-judo). Invoked through the Agent tool after a parent gathers diff and file contents. Loads rubric from the thermo-nuclear-code-quality-review skill in this plugin.
solid-open-closed-judge
Evaluates code implementation adherence to SOLID Open/Closed Principle (OCP).
predictive-analyst
Precognition agent. Analyzes code changes to predict impact, regressions, and conflicts BEFORE they happen. Uses dependency graphs and historical data.
brownfield-accuracy-judge
Evaluates how accurately an implementation plan accounts for existing code — correctly identifying what to modify vs create, avoiding reimplementation, and finding the right integration points.