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 skills/alsk1992/cloddsbot/memorynpx skills add alsk1992/CloddsBot --skill memorygit clone --depth 1 https://github.com/alsk1992/CloddsBotWhat 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 | $0.00012 | $0.01174 |
| Opus 5 | $0.00006 | $0.00587 |
| Sonnet 5 | $0.00002 | $0.00235 |
| Haiku 4.5 | $0.00001 | $0.00117 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory - Complete API Reference
Store and recall user preferences, facts, and notes across conversations. Semantic search powered by vector embeddings.
Chat Commands
Store Memories
/remember preference risk=conservative Save trading preference
/remember fact BTC halving is in April 2028 Store a fact
/remember note Check ETH before market open Save a note
/remember rule Never trade during FOMC Store trading rule
Recall Memories
/memory View all memories
/memory preferences View preferences only
/memory facts View facts only
/memory notes View notes only
/memory rules View trading rules
/memory search "bitcoin" Search memories
Forget Memories
/forget <key> Delete specific memory
/forget all preferences Clear all preferences
/forget all Clear everything (careful!)
TypeScript API Reference
Create Memory Service
import { createMemoryService } from 'clodds/memory';
const memory = createMemoryService({
// Storage backend
backend: 'lancedb', // 'lancedb' | 'sqlite' | 'postgres'
// Embedding model
embeddings: {
provider: 'openai',
model: 'text-embedding-3-small',
},
// Options
encryptionKey: process.env.MEMORY_ENCRYPTION_KEY,
});
Remember (Store)
// Store a preference
await memory.remember({
userId: 'user-123',
type: 'preference',
key: 'risk_tolerance',
value: 'conservative',
});
// Store a fact
await memory.remember({
userId: 'user-123',
type: 'fact',
content: 'BTC halving occurs approximately every 4 years',
metadata: { topic: 'crypto', confidence: 0.95 },
});
// Store a note
await memory.remember({
userId: 'user-123',
type: 'note',
content: 'Check Polymarket for election markets before Tuesday',
metadata: { priority: 'high' },
});
// Store a trading rule
await memory.remember({
userId: 'user-123',
type: 'rule',
content: 'Never trade more than 5% of portfolio on single position',
});
What ships with it
1 file 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.
- 2d ago First seen · 210 lines · 12 tokens per session scan A 3790bc6c5868
memory is a skill published in the GitHub repository alsk1992/CloddsBot (821 stars, last pushed 2d ago), licensed MIT. It adds 12 tokens to every session and 1,174 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 2026-08-30.
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