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/djblack1209-coder/openclaw-bot/xurlnpx skills add djblack1209-coder/OpenClaw-Bot --skill xurlgit clone --depth 1 https://github.com/djblack1209-coder/OpenClaw-BotWrote 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/djblack1209-coder/openclaw-bot/xurl)<a href="https://agentmods.dev/skills/djblack1209-coder/openclaw-bot/xurl"><img src="https://agentmods.dev/badge/skills/djblack1209-coder/openclaw-bot/xurl.svg" alt="Measured on agentmods" 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 | $0.00057 | $0.03549 |
| Opus 5 | $0.00028 | $0.01775 |
| Sonnet 5 | $0.00011 | $0.00710 |
| Haiku 4.5 | $0.00006 | $0.00355 |
Grade C, and why
xurl scanned grade C with 2 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 yesterday.
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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://raw.githubusercontent.com/xdevplatform/xurl/main/install.sh | bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`xurl` is a CLI tool for the X API. It supports both **shortcut commands** (human/agent‑friendly one‑liners) and **raw curl‑style** access to any v2 endpoint. All commands return JSON to stdout. This is a copy
92% identical to xurl — 84 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 — 462 lines — stays where its author put it; the contents beside it link to each section on GitHub.
xurl — Agent Skill Reference
xurl is a CLI tool for the X API. It supports both shortcut commands (human/agent‑friendly one‑liners) and raw curl‑style access to any v2 endpoint. All commands return JSON to stdout.
Installation
Homebrew (macOS)
brew install --cask xdevplatform/tap/xurl
npm
npm install -g @xdevplatform/xurl
Shell script
curl -fsSL https://raw.githubusercontent.com/xdevplatform/xurl/main/install.sh | bash
Installs to ~/.local/bin. If it's not in your PATH, the script will tell you what to add.
Go
go install github.com/xdevplatform/xurl@latest
Prerequisites
This skill requires the xurl CLI utility: https://github.com/xdevplatform/xurl.
Before using any command you must be authenticated. Run xurl auth status to check.
Secret Safety (Mandatory)
- Never read, print, parse, summarize, upload, or send
~/.xurl(or copies of it) to the LLM context. - Never ask the user to paste credentials/tokens into chat.
- The user must fill
~/.xurlwith required secrets manually on their own machine. - Do not recommend or execute auth commands with inline secrets in agent/LLM sessions.
- Warn that using CLI secret options in agent sessions can leak credentials (prompt/context, logs, shell history).
- Never use
--verbose/-vin agent/LLM sessions; it can expose sensitive headers/tokens in output. - Sensitive flags that must never be used in agent commands:
--bearer-token,--consumer-key,--consumer-secret,--access-token,--token-secret,--client-id,--client-secret. - To verify whether at least one app with credentials is already registered, run:
xurl auth status.
Register an app (recommended)
App credential registration must be done manually by the user outside the agent/LLM session. After credentials are registered, authenticate with:
xurl auth oauth2
For multiple pre-configured apps, switch between them:
xurl auth default prod-app # set default app
xurl auth default prod-app alice # set default app + user
xurl --app dev-app /2/users/me # one-off override
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.
- yesterday First seen · 462 lines · 57 tokens per session scan C 90946edeba5c
xurl is a skill published in the GitHub repository djblack1209-coder/OpenClaw-Bot (5 stars, last pushed today), licensed Apache-2.0. It adds 57 tokens to every session and 3,549 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). It is 92% identical to xurl, differing in 84 lines, and is treated as a copy.
Other skills, from other repositories
reskin
Author a NEW skin for the reskinnable-demo app. A skin is a self-contained domain plugin under src/skins/ / that implements the frozen Skin contract (src/shell/skin-contract.ts) to swap the app's entire experience — brand, theme, layout, pages, tools, data, and agent — as a live sales demo. Use when the user says "add…
setup-slack-channel
Use for the PROVIDER half of getting a locally running CopilotKit Channels agent to answer in Slack, when no Slack app exists yet — setting up a Channels bot in Slack for the first time, creating the Slack app and its tokens, attaching it to a managed Intelligence Channel, or when a Channel reports setuprequired, sits…
copilotkit-channels
Use for the CODE half of a managed Intelligence Channel with Slack or Microsoft Teams: customising the Channel a CLI-scaffolded project already ships, or — for a project the CLI did not generate — writing the Channel declaration, the long-running host, and the awaited activation call. Teams provider setup is in scope…
copilotkit-setup
Use when adding CopilotKit to an existing project or bootstrapping a new CopilotKit project from scratch. Covers framework detection, package installation, runtime wiring (managed Intelligence or self-hosted SSE), provider setup, and first working chat integration.
a2ui-renderer
Render A2UI (Agent-to-UI declarative surfaces) in CopilotKit v2. Enable the runtime via CopilotRuntime({ a2ui: {...} }), then enable the provider via . Auto-activates via /info — do NOT manually pass renderActivityMessages. createA2UIMessageRenderer ships from @copilotkit/react-core/v2; low-level primitives…
runtime
@copilotkit/runtime — mount a fetch-native CopilotRuntime on any JS server, wire middleware, pick an AgentRunner, instantiate BuiltInAgent (Factory Mode with TanStack AI is the preferred default) or plug in any of 12 external agent frameworks (Mastra, LangGraph, CrewAI Crews/Flows, PydanticAI, ADK, LlamaIndex, Agno…