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 GGbond-bo/MemOmics-Agent --skill xurlgit clone --depth 1 https://github.com/GGbond-bo/MemOmics-AgentWrote 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/ggbond-bo/memomics-agent/xurl)<a href="https://agentmods.dev/skills/ggbond-bo/memomics-agent/xurl"><img src="https://agentmods.dev/badge/skills/ggbond-bo/memomics-agent/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/ggbond-bo/memomics-agent/xurl"><img src="https://agentmods.dev/badge/skills/ggbond-bo/memomics-agent/xurl.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 | $0.00023 | $0.04229 |
| Opus 5 | $0.00012 | $0.02115 |
| Sonnet 5 | $0.00005 | $0.00846 |
| Haiku 4.5 | $0.00002 | $0.00423 |
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 5d 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. This is a copy
94% identical to xurl — 22 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 — 433 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. In Docker, this must be the~seen by Hermes tool subprocesses; see the Docker note below. - 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.
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.
- 5d ago First seen · 433 lines · 23 tokens per session scan C 8b1899dc7188
xurl is a skill published in the GitHub repository GGbond-bo/MemOmics-Agent (19 stars, last pushed 6d ago), licensed MIT. It adds 23 tokens to every session and 4,229 once invoked, about $0.0001 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 94% identical to xurl, differing in 22 lines, and is treated as a copy.
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