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/rnixai/rnix/e2e-skillnpx skills add rnixai/rnix --skill e2e-skillgit clone --depth 1 https://github.com/rnixai/rnixWrote 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/rnixai/rnix/e2e-skill)<a href="https://agentmods.dev/skills/rnixai/rnix/e2e-skill"><img src="https://agentmods.dev/badge/skills/rnixai/rnix/e2e-skill.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 | $0.00012 | $0.00057 |
| Opus 5 | $0.00006 | $0.00028 |
| Sonnet 5 | $0.00002 | $0.00011 |
| Haiku 4.5 | $0.00001 | $0.00006 |
Grade A, and why
e2e-skill 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 4d 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.
What it actually says
这是一个端到端测试用的 Skill，用于验证四层能力栈。
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.
- 4d ago First seen · 8 lines · 12 tokens per session scan A 9ed0f413f8ce
e2e-skill is a skill published in the GitHub repository rnixai/rnix (5 stars, last pushed 26d ago), licensed MIT. It adds 12 tokens to every session and 57 once invoked, about $0.0001 per session on Opus 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
playwright-cli
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
release-notes
Draft concise release notes.
connect-agent
Connect the codebase's AI agent to LangWatch agent simulations, so test suites run against the real agent process. Adds a small connect function beside the service startup that calls the agent already in the codebase, which opens an outbound connection and registers the agent with its environment and its run…
trulens-evaluation-workflow
Systematically evaluate your LLM application with TruLens.
test-boost-module
Live-test a Harbor Boost module by sending a real prompt through llamacpp via pi and validating the output. Use when asked to test a boost module, verify a module works, check module behavior, QA a boost module, or confirm a module's effect on LLM output.
codex-e2e-test
Run PR-grade real Codex E2E validation through claude-tap, including resume turns, multiple tool calls, optional image input, viewer verification, and screenshot evidence.