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 asepsafrudin/multiple-mcp-server-by-kimi --skill hello_world_agentgit clone --depth 1 https://github.com/asepsafrudin/multiple-mcp-server-by-kimiWrote 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/asepsafrudin/multiple-mcp-server-by-kimi/hello_world_agent)<a href="https://agentmods.dev/skills/asepsafrudin/multiple-mcp-server-by-kimi/hello_world_agent"><img src="https://agentmods.dev/badge/skills/asepsafrudin/multiple-mcp-server-by-kimi/hello_world_agent/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/asepsafrudin/multiple-mcp-server-by-kimi/hello_world_agent"><img src="https://agentmods.dev/badge/skills/asepsafrudin/multiple-mcp-server-by-kimi/hello_world_agent.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 | $0.00028 | $0.00311 |
| Opus 5.5 | $0.00011 | $0.00124 |
| Sonnet 5.5 | $0.00006 | $0.00062 |
| Haiku 4.5 | $0.00003 | $0.00031 |
Grade A, and why
hello_world_system 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 18d 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
Keterampilan: Hello World & System Check
Keterampilan (Skill) ini digunakan oleh agen (seperti smolagents, Cursor, atau Claude) untuk memverifikasi bahwa lingkungan sandbox / python eksekutor sudah stabil dan mampu memproses operasi matematis dasar.
Mekanisme
- Eksekutor koding (misal CodeAgent di
smolagents) diminta membaca struktur file ini. - Agen menulis baris kode Python yang mampu mengeksekusi sapaan dan perhitungan.
Contoh Eksekusi Kode Python
Saat agen dipanggil, Anda dapat menggunakan potongan panduan di bawah ini untuk menghasilkan operasi:
def check_environment():
import sys
print("Halo Dunia! Smolagents Sandbox Test.")
print(f"Versi Python: {sys.version}")
# Uji kalkulasi otonom
return 19 * 21
print(f"Kalkulasi agen: {check_environment()}")
Parameter Kesuksesan (Post-Condition)
- Agen berhasil mendapatkan exit-code 0 dari eksekusi
python. - Output standar (stdout) mencetak teks "Halo Dunia!".
- Setelah ini tereksekusi, workflow dapat diteruskan kembali ke Lapisan 1 (MAF Orchestrator).
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.
- 18d ago First seen · 33 lines · 28 tokens per session scan A bd360dcb7819
hello_world_system is a skill published in the GitHub repository asepsafrudin/multiple-mcp-server-by-kimi (0 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 311 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-27.
Other skills, from other repositories
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
eval-dataset-design
A guide to creating reliable test sets for AI agents. Each evaluation task includes the request, the simulated user's behaviour, a reset starting state, and a success check that can be independently verified.
tika-eval-compare
Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".
cua-driver
Use Cua Driver for desktop or browser tasks that are awkward or unavailable through Bash/APIs, or when the user explicitly wants GUI interaction: app testing, visual bug reproduction, form filling, calendar entry, screenshots, and demo recording. Also covers Cua setup; not OpenAI Codex Computer Use or web research.
jetson-validate-image
Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.
atmos-validation
Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.