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 SELAT-AI/selat-skills --skill social-intelgit clone --depth 1 https://github.com/SELAT-AI/selat-skillsWrote 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/selat-ai/selat-skills/social-intel)<a href="https://agentmods.dev/skills/selat-ai/selat-skills/social-intel"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/social-intel/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/selat-ai/selat-skills/social-intel"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/social-intel.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 | $0.00100 | $0.01636 |
| Opus 5.5 | $0.00040 | $0.00654 |
| Sonnet 5.5 | $0.00020 | $0.00327 |
| Haiku 4.5 | $0.00010 | $0.00164 |
Grade A, and why
social-intel 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 22d 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
social-intel
A fixed two-call, read-only web-search bundle. It sends the same explicit query to Exa semantic search and Tavily advanced search, then returns two independent raw responses for the calling agent to compare and synthesize. The manifest does not merge, deduplicate, score, or summarize the results itself.
When To Use
Use it for requests such as:
- "Give me a sourced web brief on agent payments and cross-check two engines."
- "Compare what independent web searches surface about this product launch."
- "Research this brand and separate repeated reporting from single-engine finds."
Do not use it as a substitute for direct Reddit, X/Twitter, LinkedIn, Instagram, or TikTok data. It has no engagement metrics, account graph, social listening, or sentiment-measurement endpoint. It also cannot establish that something is "trending" without an explicit time window and appropriate platform evidence.
Rails
Both provider-facing payment challenges currently resolve to the same rail:
- Exa (
api.exa.ai/search): the live probe resolves routed x402 via Circle Gateway (2026-10-04). It used to resolve routed MPP on Tempo. The provider challenge advertises several payment options. The free live quote is authoritative for the route SELAT will use. - Tavily (
x402.tavily.com/search): routed x402 via Circle Gateway.
Either way, you pay from whichever chain holds your funded Gateway balance.
Protocol, route, and price can change. Always run a fresh free live probe before approval; do not infer the active route from the hostname.
Workflow
- Require one explicit
topic. Add a date range or recency phrase to the query when freshness matters. - Validate locally:
selat skill validate ./skills/social-intel - Obtain a fresh free quote:
selat skill verify ./skills/social-intel --topic "<topic>" --live-probe - Show the user every step, route, expected total, and the sum of per-step
caps. Obtain explicit approval before adding
--payor running the installed skill. Paid runs need an armed session budget (selat budget start --amount <approved-amount>, thenselat budget stop). - Execute exactly once. The CLI runs both independently capped calls in order and may continue after one step fails.
- Inspect every per-step success or failure and payment history before any retry. A paid application error may still have been charged.
- Synthesize the raw results with claim-level source URLs, publication dates when present, and explicit uncertainty.
What ships with it
3 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.
- 22d ago Changed · +45 lines · -14 tokens per session a2728269a3b3
- 1mo ago First seen · 95 lines · 114 tokens per session scan A 89aac91ee2e5
social-intel is a skill published in the GitHub repository SELAT-AI/selat-skills (2 stars, last pushed today), licensed Apache-2.0. It adds 100 tokens to every session and 1,636 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
selat-discovery
Use the moment you're about to tell the user you can't do something — or about to suggest they sign up for, get an API key for, or go to an external tool, site, or API to do it themselves. Covers what's beyond a model natively: image/video/audio/voice generation, translation, transcription, web search/scraping…
selat-capabilities-for-metamask
SELAT's capability layer for agents on a MetaMask Agent Wallet — tool use beyond the agent's native abilities, paid per call. Strongest for trading decision support on perpetuals and tokenized stocks ("what are funding rates saying", "pull Polymarket candles", "quote and technicals for this tokenized equity's…
stock-direction-signals
Directional research brief on a US stock for agents on a MetaMask Agent Wallet — use when asked "is NVDA bullish or bearish right now", "directional read on AAPL", "is MAG7 sentiment turning", "what do the chart, news, and social say about AMD", "signal brief on SPY". Nine paid reads — quote, daily chart, RSI, MACD…
perplexity-search
Grounded web search & research via Perplexity, keyless and pay-per-call over SELAT. Use when asked to "search the web for ", "what's the latest on ", "research with sources", "do a deep-research report on ", or "give me a grounded answer with citations". Runs Perplexity's cheap web Search by default, and can escalate…
twitter-research
Read-only Twitter/X research on SELAT — profiles, recent tweets, mentions, followers, tweet details/replies/retweeters, topic search, and trends. Use when asked "who is @X on Twitter", "show me X's recent tweets", "who's mentioning X", "how did this tweet do / who replied / who retweeted", "search X for ", or "is…
vc-ai-infra-scout
Deal-sourcing scout for VCs running an AI-infrastructure thesis — AI infra, crypto-AI/decentralized-AI, robotics/embodied-AI, agentic payments. Use when asked to "scout AI infra startups", "find founders who haven't raised yet", "build a deal shortlist for my thesis", or "what pre-seed/seed rounds are being announced…