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/kostyk348/sint-ua-v2.1Wrote 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/commands/kostyk348/sint-ua-v2.1/memory)<a href="https://agentmods.dev/commands/kostyk348/sint-ua-v2.1/memory"><img src="https://agentmods.dev/badge/commands/kostyk348/sint-ua-v2.1/memory.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 5.1 | $0.00013 | $0.00274 |
| Opus 5 | $0.00006 | $0.00137 |
| Sonnet 5 | $0.00003 | $0.00055 |
| Haiku 4.5 | $0.00001 | $0.00027 |
Grade A, and why
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 7d 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.
What it actually says
Query the memory system with the provided arguments.
$ARGUMENTS
Query Types
Based on arguments, perform one of:
Search
If arguments contain keywords: search blocks matching those keywords
Use `memory_search` with the query terms
Present matching blocks
Stats
If arguments = "stats" or "status": show memory statistics
Use `memory_stats`
Present: total blocks, chain length, sessions, blocks by register
Recent
If arguments = "recent" or "last": show recent activity
Use `memory_get_chain_tail` with n=10
Present last 10 chain entries
Block lookup
If arguments contain a 4-digit number: read that specific block
Use `memory_read_block` with the ID
Present block contents
Chain check
If arguments = "verify" or "chain": verify hash chain integrity
Use `memory_verify_chain`
Present results
Default
If no specific arguments: show full memory status
Use `memory_stats` + `memory_read_state` + `memory_get_chain_tail` with n=5
Present comprehensive overview
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.
- 7d ago First seen · 55 lines · 13 tokens per session scan A fa1cd473de93
memory is a command published in the GitHub repository kostyk348/sint-ua-v2.1 (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 13 tokens to every session and 274 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
pensyve
Route explicit Pensyve memory requests through the bundled MCP server; supports recall, remember, observe, inspect, status, review, forget, and mention-style guidance.
using-pensyve
Show available Pensyve memory tools, skills, and commands.
consolidate
Run memory consolidation to promote, decay, and archive memories.
inspect
View all memories stored for an entity in Pensyve.
memory-status
Show Pensyve memory namespace statistics and health overview.
recall
Search Pensyve memory by semantic similarity and text matching.