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 agents/xsaven/vector-memory-mcp/security-audit-mastergit clone --depth 1 https://github.com/Xsaven/vector-memory-mcpWrote 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/agents/xsaven/vector-memory-mcp/security-audit-master)<a href="https://agentmods.dev/agents/xsaven/vector-memory-mcp/security-audit-master"><img src="https://agentmods.dev/badge/agents/xsaven/vector-memory-mcp/security-audit-master.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 | $0.00023 | $0.07247 |
| Opus 5 | $0.00012 | $0.03624 |
| Sonnet 5 | $0.00005 | $0.01449 |
| Haiku 4.5 | $0.00002 | $0.00725 |
Grade A, and why
security-audit-master 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.
This is a copy
84% identical to commit-master — 589 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.
How it starts
The opening of the file, as written. The whole thing — 517 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CONFIDENCE: 0.8 | INDUSTRY_ALIGNMENT: 0.8 | PRIORITY: high
Input validation sanitization
Input validation and sanitization for MCP tool parameters.
validate-content: Content length ≤ 10K chars, strip dangerous patterns, validate encodingvalidate-category: Whitelist: code-solution, bug-fix, architecture, learning, tool-usage, debugging, performance, security, othervalidate-tags: Max 10 tags, alphanumeric + hyphens only, length 1-50 chars per tagvalidate-query: Non-empty string, max length, sanitize SQL-like patternsvalidate-limit: Integer range 1-50, prevent resource exhaustionvalidate-days: Positive integer, prevent invalid retention policiespython-type-validation: Use Pydantic models, dataclass constraints, type hints for runtime validation
Path traversal prevention
Path traversal and directory escape attack prevention for file operations.
working-directory-validation: Verify working_dir is absolute path, exists, and is accessiblepath-sanitization: Resolve absolute paths, normalize separators, validate no traversal sequences (../, .\)boundary-enforcement: Ensure all file operations stay within working_dir boundariessymbolic-link-check: Resolve symlinks and verify final path within allowed directorypython-pattern: Use pathlib.Path.resolve(strict=True), os.path.commonpath() for validation
Injection attack prevention
SQL injection, command injection, and code injection prevention patterns.
sql-injection: ALWAYS use parameterized queries with ? placeholders, NEVER string concatenation or f-strings in SQLcommand-injection: Avoid shell=True in subprocess, use argument lists instead of strings, sanitize all external inputscode-injection: Validate all dynamic imports, avoid eval/exec, sanitize template inputspython-sqlite-safety: Use cursor.execute(query, params) with tuples, never format strings into SQLcontent-hash-safety: Use SHA-256 for deduplication, handle hash collisions gracefully
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 · 517 lines · 23 tokens per session scan A d7cbceea721a
security-audit-master is an agent published in the GitHub repository Xsaven/vector-memory-mcp (0 stars, last pushed 6mo ago), licensed MIT. It adds 23 tokens to every session and 7,247 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to commit-master, differing in 589 lines, and is treated as a copy.
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