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/zoxknez/ai-coding-rulesWrote 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/rules/zoxknez/ai-coding-rules/40-context-memory)<a href="https://agentmods.dev/rules/zoxknez/ai-coding-rules/40-context-memory"><img src="https://agentmods.dev/badge/rules/zoxknez/ai-coding-rules/40-context-memory/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/rules/zoxknez/ai-coding-rules/40-context-memory"><img src="https://agentmods.dev/badge/rules/zoxknez/ai-coding-rules/40-context-memory.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 | $0.00090 | $0.00090 |
| Opus 5.5 | $0.00036 | $0.00036 |
| Sonnet 5.5 | $0.00018 | $0.00018 |
| Haiku 4.5 | $0.00009 | $0.00009 |
Grade A, and why
40-context-memory 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- 40-context-memory — 100% identical, 0 lines differ
What it actually says
Context & Memory
Read First
- project_profile.md (repo truths)
- MASTER_RULES.md (canonical rules)
Memory Bank
- Use MEMORY_BANK.md and AGENTS.md as single source of truth.
- After major changes, update decisions and lessons learned.
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 · 17 lines · 90 tokens per session scan A 1cd0a9fad929
40-context-memory is a cursor rule published in the GitHub repository zoxknez/ai-coding-rules (29 stars, last pushed 5mo ago), licensed MIT. It adds 90 tokens to every session, about $0.0004 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 2026-08-30.
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