CloddsBot is a self-hosted AI trading terminal that lets users interact through conversation while trading prediction markets, cryptocurrencies, and futures. It scans markets, executes trades, manages risk, and supports portfolio activities across the exchanges and blockchains listed by the project. The catalogue contains skills for extending or guiding the trading agent.
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 alsk1992/CloddsBot --skill memorygit clone --depth 1 https://github.com/alsk1992/CloddsBotWrote 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/alsk1992/cloddsbot/memory)<a href="https://agentmods.dev/skills/alsk1992/cloddsbot/memory"><img src="https://agentmods.dev/badge/skills/alsk1992/cloddsbot/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/alsk1992/cloddsbot/memory"><img src="https://agentmods.dev/badge/skills/alsk1992/cloddsbot/memory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00012 | $0.01174 |
| Opus 5.5 | $0.00005 | $0.00470 |
| Sonnet 5.5 | $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 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 — 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.
- 1mo ago First seen · 210 lines · 12 tokens per session scan A 3790bc6c5868
memory is a skill published in the GitHub repository alsk1992/CloddsBot (2,975 stars, last pushed 14d ago), licensed MIT. It adds 12 tokens to every session and 1,174 once invoked, about $0.0000 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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