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 skloxo/TideTrading --skill social-media-intelligencegit clone --depth 1 https://github.com/skloxo/TideTradingWrote 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/skloxo/tidetrading/social-media-intelligence)<a href="https://agentmods.dev/skills/skloxo/tidetrading/social-media-intelligence"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/social-media-intelligence/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/skloxo/tidetrading/social-media-intelligence"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/social-media-intelligence.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 | $0.00028 | $0.10073 |
| Opus 5 | $0.00014 | $0.05037 |
| Sonnet 5 | $0.00006 | $0.02015 |
| Haiku 4.5 | $0.00003 | $0.01007 |
Grade A, and why
social-media-intelligence 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.
This is a copy
100% identical to social-media-intelligence — 28 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 1,296 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Media Intelligence
This skill integrates financial-intelligence collection methods and quantitative applications across Twitter/X, Telegram, Discord, and Reddit. Inspired by
himself65/finance-skillsmodules such asdiscord-reader,telegram-reader, andtwitter-reader.
1. Overview of the Four Major Financial Social Platforms
1.1 Twitter/X — The FinTwit Ecosystem
Core roles
| Role Type | Representative Account Traits | Signal Value |
|---|---|---|
| Sell-side analyst | Institutional backing, dense posting around earnings | Medium, somewhat lagging |
| Fund manager | Holdings views, industry judgment | High, but mixed with subjective opinion |
| Macro commentator | Fed interpretation, macro-data reaction | High, a good sentiment barometer |
| Crypto KOL | On-chain interpretation, project endorsement | Highly volatile, high manipulation risk |
| Retail noise | Meme spread, herd sentiment | Contrarian signal value at extremes |
Core FinTwit circles
$TICKERcashtag system directly maps discussion to the asset- Earnings-season sentiment patterns before and after reports
- Real-time reaction speed to policy / macro events, often 15-60 minutes ahead of traditional media
1.2 Telegram — The Core Venue for Crypto Intelligence
Channel types
| Channel Type | Content Traits | How to Use |
|---|---|---|
| Signal channels | Specific buy/sell levels, stop-loss / take-profit | Use as a sentiment thermometer, not for blind copy-trading |
| Research push channels | Institutional PDF reports, on-chain data | Aggregate information and extract key numbers |
| Macro flash channels | Real-time interpretation of FOMC, CPI, etc. | Event-driven signals |
| Official project channels | Tokenomics updates, partnership announcements | Potential alpha, but requires filtering |
| Whale alert channels | Large on-chain transfer alerts | Capital-flow signal |
1.3 Discord — Quant Communities and Project Ecosystems
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 · 1,296 lines · 28 tokens per session scan A ef47bebc4872
social-media-intelligence is a skill published in the GitHub repository skloxo/TideTrading (10 stars, last pushed 4d ago), licensed MIT. It adds 28 tokens to every session and 10,073 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to social-media-intelligence, differing in 28 lines, and is treated as a copy.
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