Moltis is a persistent personal agent server written in Rust that runs on hardware controlled by its user. It provides an AI agent with sandboxed command execution, model-provider connections, memory, voice, scheduling, messaging integrations, browser automation, and MCP tools. Its catalogue add-ons extend the agent’s workflows and available tools.
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 moltis-org/moltis --skill xurlgit clone --depth 1 https://github.com/moltis-org/moltisWrote 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/moltis-org/moltis/xurl)<a href="https://agentmods.dev/skills/moltis-org/moltis/xurl"><img src="https://agentmods.dev/badge/skills/moltis-org/moltis/xurl/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/moltis-org/moltis/xurl"><img src="https://agentmods.dev/badge/skills/moltis-org/moltis/xurl.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 63 Tool calls are chained to bypass individual safety checks or escalate capabilities beyond what any single tool call would allow.Fix: Limit tool chaining depth and validate the output of each tool before passing it to the next. Require explicit user approval for multi-step chains.
- high Tool Misuse · line 264 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- medium Data Exfiltration · line 273 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Rogue Agent · line 368 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Agent Snooping · line 389 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- low Supply Chain · line 63 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
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 | $0.00054 | $0.03207 |
| Opus 5 | $0.00027 | $0.01604 |
| Sonnet 5 | $0.00011 | $0.00641 |
| Haiku 4.5 | $0.00005 | $0.00321 |
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 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.
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 the X developer platform's official CLI for the X API. It supports shortcut commands for common actions AND raw curl-style access to any v2 endpoint. All commands return JSON to stdout. How it starts
The opening of the file, as written. The whole thing — 391 lines — stays where its author put it; the contents beside it link to each section on GitHub.
xurl — X (Twitter) API via the Official CLI
xurl is the X developer platform's official CLI for the X API. It supports shortcut commands for common actions AND raw curl-style access to any v2 endpoint. All commands return JSON to stdout.
Use this skill for:
- posting, replying, quoting, deleting posts
- searching posts and reading timelines/mentions
- liking, reposting, bookmarking
- following, unfollowing, blocking, muting
- direct messages
- media uploads (images and video)
- raw access to any X API v2 endpoint
- multi-app / multi-account workflows
This skill replaces the older xitter skill (which wrapped a third-party Python CLI). xurl is maintained by the X developer platform team, supports OAuth 2.0 PKCE with auto-refresh, and covers a substantially larger API surface.
Secret Safety (MANDATORY)
Critical rules when operating inside an agent/LLM session:
- Never read, print, parse, summarize, upload, or send
~/.xurlto LLM context. - Never ask the user to paste credentials/tokens into chat.
- The user must fill
~/.xurlwith secrets manually on their own machine. - Never recommend or execute auth commands with inline secrets in agent sessions.
- Never use
--verbose/-vin agent sessions — it can expose auth headers/tokens. - To verify credentials exist, only use:
xurl auth status.
Forbidden flags in agent commands (they accept inline secrets):
--bearer-token, --consumer-key, --consumer-secret, --access-token, --token-secret, --client-id, --client-secret
App credential registration and credential rotation must be done by the user manually, outside the agent session. After credentials are registered, the user authenticates with xurl auth oauth2 — also outside the agent session. Tokens persist to ~/.xurl in YAML. Each app has isolated tokens. OAuth 2.0 tokens auto-refresh.
Installation
Pick ONE method. On Linux, the shell script or go install are the easiest.
# Shell script (installs to ~/.local/bin, no sudo, works on Linux + macOS)
curl -fsSL https://raw.githubusercontent.com/xdevplatform/xurl/main/install.sh | bash
# Homebrew (macOS)
brew install --cask xdevplatform/tap/xurl
# npm
npm install -g @xdevplatform/xurl
# Go
go install github.com/xdevplatform/xurl@latest
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 · 391 lines · 54 tokens per session scan C 1281183f4ec1
xurl is a skill published in the GitHub repository moltis-org/moltis (2,851 stars, last pushed today), licensed MIT. It adds 54 tokens to every session and 3,207 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). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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