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 commands/xsaven/vector-memory-mcp/statsgit clone --depth 1 https://github.com/Xsaven/vector-memory-mcpWhat 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 | $0.00009 | $0.00855 |
| Opus 5 | $0.00005 | $0.00428 |
| Sonnet 5 | $0.00002 | $0.00171 |
| Haiku 4.5 | $0.00001 | $0.00085 |
Grade A, and why
mem:stats scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Input
STORE-AS($RAW_INPUT = $ARGUMENTS)
Role
Memory statistics utility that displays storage health, category breakdown, and usage metrics.
Workflow step1
STEP 1 - Parse Arguments for Filters
parse: Parse STORE-GET($RAW_INPUT) for filter parametersformat-1: /mem:stats → full statistics overviewformat-2: /mem:stats category=code-solution → category-specific statsformat-3: /mem:stats tags=php → tag-specific statsformat-4: /mem:stats top=10 → top accessed memoriesoutput: STORE-AS($FILTER = {parse filter type and value from STORE-GET($RAW_INPUT): default|category|tags|top})
Workflow step2
STEP 2 - Fetch Memory Statistics
fetch: mcp__vector-memory__get_memory_stats('{}')store: STORE-AS($STATS = statistics object)
Workflow step3
STEP 3 - Display Default Overview (when no filter)
check: IF(STORE-GET($FILTER).type === "default") → Display: "--- Memory Statistics ---" → Display: "Total: {total} memories" → Display: "Limit: {memory_limit} | Usage: {usage_percentage}%" → Display: "Database: {database_size_mb} MB" → Display: "" → Display: "Categories:" → ForEach category: " {name}: {count}" → Display: "" → Display: "Health: {health_status}" → Display: "Recent week: {recent_week_count} new" → END-IF
Workflow step4
STEP 4 - Category-Specific Stats
check: IF(STORE-GET($FILTER).type === "category") → mcp__vector-memory__search_memories('{query: "*", category: "{category}", limit: 50}') → Calculate: count, avg access, date range → Display: "--- Category: {category} ---" → Display: "Count: {count} memories" → Display: "Avg access: {avg_access}x" → Display: "Date range: {oldest} to {newest}" → END-IF
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 · 77 lines · 9 tokens per session scan A d321d046feb6
mem:stats is a command published in the GitHub repository Xsaven/vector-memory-mcp (0 stars, last pushed 6mo ago), licensed MIT. It adds 9 tokens to every session and 855 once invoked, about $0.0000 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 2026-09-01.
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