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 rules/gitmaxd/ai-init/auto_scaffold_memory_bankgit clone --depth 1 https://github.com/Gitmaxd/ai-initWhat 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 | $0.00163 | $0.00163 |
| Opus 5 | $0.00081 | $0.00081 |
| Sonnet 5 | $0.00033 | $0.00033 |
| Haiku 4.5 | $0.00016 | $0.00016 |
Grade A, and why
auto_scaffold_memory_bank 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 2d 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.
What it actually says
I will create:
- memory-bank/projectbrief.md
- memory-bank/techContext.md
- memory-bank/systemPatterns.md
- memory-bank/activeContext.md
- memory-bank/progress.md
These provide persistent memory and AI-readable context.
examples:
- input: "Starting a new AI project" output: "Prompt to scaffold memory-bank structure" metadata: priority: low version: 1.0
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.
- 2d ago First seen · 27 lines · 163 tokens per session scan A c67fe351bd19
auto_scaffold_memory_bank is a cursor rule published in the GitHub repository Gitmaxd/ai-init (8 stars, last pushed 1y ago), licensed MIT. It adds 163 tokens to every session, about $0.0008 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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