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 agentmods add skills/moontzai/folderbridge-mcp/improve-codebase-architecturenpx skills add MoonTzai/folderbridge-mcp --skill improve-codebase-architecturegit clone --depth 1 https://github.com/MoonTzai/folderbridge-mcpWhat 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 | $0.00024 | $0.00250 |
| Opus 5 | $0.00012 | $0.00125 |
| Sonnet 5 | $0.00005 | $0.00050 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
improve-codebase-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 yesterday.
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.
What it actually says
Improve Codebase Architecture — FolderBridge Adaptation
Use this as a focused architecture health survey, especially around code that is actively changing.
First understand the relevant modules, recent change hot spots, project vocabulary, tests, and recorded architectural decisions. Then look for deepening opportunities: places where callers must know too much, the same policy appears in several modules, multiple adapters imply a missing seam, or tests are forced to reach through internals because the public interface is too weak.
Do not produce a generic cleanup list. For every candidate, apply the deletion test: would removing the proposed module concentrate complexity somewhere worse, proving the module can hide real policy, or would it merely move names/files around? Prefer changes that reduce caller knowledge and improve locality/testability.
Rank candidates by leverage, current development activity, risk, and migration cost. Separate proven defects from architectural friction. Do not refactor solely because a file is large, and do not split a cohesive deep module just to reduce line count.
Once one opportunity is selected, switch to codebase-design vocabulary to design its interface before editing code.
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.
- yesterday First seen · 17 lines · 24 tokens per session scan A 762cfc33db4a
improve-codebase-architecture is a skill published in the GitHub repository MoonTzai/folderbridge-mcp (0 stars, last pushed yesterday), licensed Apache-2.0. It adds 24 tokens to every session and 250 once invoked, about $0.0001 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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