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 0xNyk/oneclaw --skill x-intelligencegit clone --depth 1 https://github.com/0xNyk/oneclawWrote 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/0xnyk/oneclaw/x-intelligence)<a href="https://agentmods.dev/skills/0xnyk/oneclaw/x-intelligence"><img src="https://agentmods.dev/badge/skills/0xnyk/oneclaw/x-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/0xnyk/oneclaw/x-intelligence"><img src="https://agentmods.dev/badge/skills/0xnyk/oneclaw/x-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 | $0.00000 | $0.03513 |
| Opus 5.5 | $0.00000 | $0.01405 |
| Sonnet 5.5 | $0.00000 | $0.00703 |
| Haiku 4.5 | $0.00000 | $0.00351 |
Grade A, and why
x-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 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 — 402 lines — stays where its author put it; the contents beside it link to each section on GitHub.
X/Twitter Intelligence Gathering
When the user asks you to search, monitor, or analyze content on X (formerly Twitter), follow this guide. All operations use the official X API v2 and optionally the xAI Grok API for analysis. Never scrape. Never use unofficial endpoints.
Prerequisites
Before performing any X intelligence operation, verify the following:
- X API v2 Bearer Token is available in the config or environment (
ONECLAW_X_BEARER_TOKENorX_BEARER_TOKEN). - xAI Grok API Key is available if analysis features are needed (
ONECLAW_XAI_API_KEYorXAI_API_KEY). - The
xint-rsCLI tool is installed and on PATH (recommended). Fall back to raw HTTP if unavailable.
If credentials are missing, inform the user and explain how to obtain them:
- X API: Apply at https://developer.x.com/en/portal/dashboard (Free tier gives 500K tweets/month read, 10K tweets/month for search).
- xAI Grok API: Apply at https://x.ai/api (provides Grok model access for analysis).
Tool: xint-rs (Recommended CLI)
xint-rs is a Rust CLI that wraps X API v2 and xAI Grok into a single intelligence workflow. Prefer it when available.
Check availability
which xint && xint --version
Common xint commands
# Search recent tweets (last 7 days, Free/Basic tier)
xint search "rust programming" --max-results 100 --format json
# Search with date range (Academic/Enterprise tier)
xint search "AI safety" --start "2026-01-01" --end "2026-02-01" --max-results 500
# Get a user's recent tweets
xint user-tweets @username --max-results 50 --format json
# Analyze sentiment of search results via Grok
xint search "oneclaw agent" --max-results 50 --analyze sentiment
# Monitor a topic (polls every interval)
xint monitor "topic OR keyword" --interval 300 --callback webhook://localhost:8080/x-intel
# Generate intelligence report
xint report "AI agents" --days 7 --output report.md
If xint-rs is not available, use http_request tool with the raw API endpoints documented below.
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 · 402 lines · 0 tokens per session scan A 1fac2bf62815
x-intelligence is a skill published in the GitHub repository 0xNyk/oneclaw (3 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,513 tokens. 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
codebase-classification
Classify codebases before modification to choose appropriate development approach.
python-repl
Interactive Python REPL automation with common helpers and best practices.
agent_management
This Skill provides a complete management guide for OpenSquad Agents, covering the full workflow of creation, configuration, deployment, and troubleshooting.
collaboration-workflow
Complete guide to the OpenSquad multi-agent collaboration system with user authorization gates. Use this skill when starting a collaboration session, coordinating multiple agents, managing the collaboration board, or when you need to understand how to use boardupdate, boardlist, and other collaboration tools. Triggers…
Collaboration Management
Complete guide to multi-agent collaboration card management, including starting collaborations, joining teams, and creating custom collaboration cards.
mcp_auto_deploy
Allows the agent to self-configure and deploy MCP servers. Covers central config, per-agent sync, web UI visibility, registration diagnostics, and validation.