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/zoxknez/ai-coding-rules/20-security-privacygit 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/20-security-privacy)<a href="https://agentmods.dev/rules/zoxknez/ai-coding-rules/20-security-privacy"><img src="https://agentmods.dev/badge/rules/zoxknez/ai-coding-rules/20-security-privacy.svg" alt="Measured on agentmods" 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 | $0.00138 | $0.00138 |
| Opus 5 | $0.00069 | $0.00069 |
| Sonnet 5 | $0.00028 | $0.00028 |
| Haiku 4.5 | $0.00014 | $0.00014 |
Grade A, and why
20-security-privacy 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 4d 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:
- 20-security-privacy — 100% identical, 0 lines differ
What it actually says
Security & Privacy Rules
Secrets & Credentials
- Never hard‑code API keys, passwords, or tokens.
- Use environment variables or secret managers.
Input Validation
- Validate all external input (Zod/Pydantic or equivalent).
- Reject/normalize unexpected fields.
Logging
- Never log PII or secrets.
- Scrub sensitive values before logging.
Safety Stops
- If a change can cause data loss or a breaking change, stop and ask.
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.
- 4d ago First seen · 24 lines · 138 tokens per session scan A aa5e0effd42b
20-security-privacy is a cursor rule published in the GitHub repository zoxknez/ai-coding-rules (28 stars, last pushed 4mo ago), licensed MIT. It adds 138 tokens to every session, about $0.0007 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 2026-08-30.
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