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 skills add somnus0x/agt-skill-pack --skill ai-memorygit clone --depth 1 https://github.com/somnus0x/agt-skill-packWrote 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/skills/somnus0x/agt-skill-pack/ai-memory)<a href="https://agentmods.dev/skills/somnus0x/agt-skill-pack/ai-memory"><img src="https://agentmods.dev/badge/skills/somnus0x/agt-skill-pack/ai-memory/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/somnus0x/agt-skill-pack/ai-memory"><img src="https://agentmods.dev/badge/skills/somnus0x/agt-skill-pack/ai-memory.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00056 | $0.01298 |
| Opus 5.5 | $0.00022 | $0.00519 |
| Sonnet 5.5 | $0.00011 | $0.00260 |
| Haiku 4.5 | $0.00006 | $0.00130 |
Grade A, and why
ai-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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Memory — Give Your AI a Past and a Present
AI doesn't remember anything between sessions. Every new chat starts blank — no history, no context, no idea what you shipped yesterday.
This skill gives your AI two things it's missing:
- Long-term memory — search past sessions by keyword (FTS5 index)
- Short-term memory — know current project state at session start (hot cache)
The Problem (two sides)
Side 1: Can't find the past. You discussed an auth refactor two weeks ago. Made a decision. Wrote a great prompt. Now it's gone — buried in hundreds of session files with no search, no index.
Side 2: Doesn't know the present. What shipped yesterday? What's blocked? When's the deadline? AI has no idea until you paste context manually. Every session. Every morning.
Setup: Long-Term Memory (Session Search)
Drop-in prompt (copy into Claude Code):
อ่านไฟล์ JSONL ทุกไฟล์ใน ~/.claude/projects/ ดึงแค่ข้อความ user + assistant ออกมา สร้าง SQLite database ที่มี FTS5 full-text search index ให้ search ด้วย keyword ได้ทันที เขียนเป็น Python script ชื่อ session-store.py ที่รับ command search, ingest, stats
English version:
Read all JSONL files in ~/.claude/projects/ and extract only user + assistant messages. Create a SQLite database with FTS5 full-text search index that can search by keyword instantly. Write it as a Python script called session-store.py that accepts commands: search, ingest, stats
One prompt. AI writes the script, runs ingest, ready to search.
Usage
# Search across all sessions
python3 session-store.py search "refactor authentication"
# Output:
# [2026-05-10] interactive:a3f2... (42,318 chars)
# ...ต้อง refactor authentication flow เพราะ Privy session...
# Re-index after new sessions
python3 session-store.py ingest
# Show index stats
python3 session-store.py stats
Manual setup (if you prefer)
Key components:
- Parser — Read JSONL session files, extract
type: "human"andtype: "assistant"messages - SQLite + FTS5 — Virtual table with
tokenize='unicode61'for multilingual support - CLI —
search "keyword",ingest(rebuild index),stats(show counts)
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 141 lines · 56 tokens per session scan A b107fcf230fa
ai-memory is a skill published in the GitHub repository somnus0x/agt-skill-pack (74 stars, last pushed 18d ago), licensed Apache-2.0. It adds 56 tokens to every session and 1,298 once invoked, about $0.0002 per session on Opus 5.5. 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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