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/adobe/aem-desktop/security-global-input-validationgit clone --depth 1 https://github.com/adobe/aem-desktopWhat 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 | $0.00017 | $0.00277 |
| Opus 5 | $0.00009 | $0.00138 |
| Sonnet 5 | $0.00003 | $0.00055 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
security-global-input-validation 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.
This is a copy
100% identical to security-global-input-validation — 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.
What it actually says
Input Validation
Proper input validation is the first line of defense against malformed or unexpected data, reducing the attack surface before deeper security controls handle injection or context-specific risks.
Key Principles
- Validate on both sides: Implement validation on both client and server
- Whitelist over blacklist: Prefer allowlist approaches over trying to block known bad inputs
- Defense in depth: Apply multiple validation layers
- Validate before use: Validate input as close as possible to where it's used
Input Validation Techniques
Type Checking
- Enforce strong typing
- Validate data types before processing
- Use schema validation where appropriate
Format Validation
- Validate using patterns/regex for format-specific inputs
- Implement strict validation for sensitive fields (email, phone, etc.)
- Validate ranges, lengths, and sizes
Sanitization
- Sanitize data before storage or display
- Remove/escape potentially dangerous characters
- Use context-appropriate encoding when outputting
Anti-Patterns to Avoid
- Using client-side validation only
- Relying only on blacklists
- Validating only on form submission
- Skipping validation for "trusted" sources
- Implementing custom validation for standard formats
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 · 42 lines · 17 tokens per session scan A b5eb90ff796e
security-global-input-validation is a cursor rule published in the GitHub repository adobe/aem-desktop (2 stars, last pushed 7d ago), licensed Apache-2.0. It adds 17 tokens to every session and 277 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to security-global-input-validation, differing in 0 lines, and is treated as a copy.
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