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 PyzmxU/sunset-agent-hermes-skill --skill sunset-agent-hermes-skillgit clone --depth 1 https://github.com/PyzmxU/sunset-agent-hermes-skillWrote 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/pyzmxu/sunset-agent-hermes-skill/sunset-agent-hermes-skill)<a href="https://agentmods.dev/skills/pyzmxu/sunset-agent-hermes-skill/sunset-agent-hermes-skill"><img src="https://agentmods.dev/badge/skills/pyzmxu/sunset-agent-hermes-skill/sunset-agent-hermes-skill/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/pyzmxu/sunset-agent-hermes-skill/sunset-agent-hermes-skill"><img src="https://agentmods.dev/badge/skills/pyzmxu/sunset-agent-hermes-skill/sunset-agent-hermes-skill.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 | $0.00029 | $0.01311 |
| Opus 5 | $0.00015 | $0.00656 |
| Sonnet 5 | $0.00006 | $0.00262 |
| Haiku 4.5 | $0.00003 | $0.00131 |
Grade A, and why
sunset-agent 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sunset Agent Hermes Skill
Use this skill when the user wants to query sunset / evening-glow / 火烧云 prediction data, or when they want to operate a local sunset-agent-langgraph project that exposes a Hermes MCP server.
The expected end-to-end flow is:
user natural language
-> LLM extracts city
-> sunsetbot.top query
-> EC + GFS model results
-> vividness / AOD aerosol summary
What this skill provides
This skill is an operation guide for a LangGraph + MCP workflow. It does not contain API keys or private runtime state.
It assumes a companion Python project that contains:
src/sunset_agent/graph.py LangGraph workflow
src/sunset_agent/sunsetbot.py sunsetbot.top EC/GFS query wrapper
src/sunset_agent/mcp_server.py MCP stdio server
src/sunset_agent/main.py CLI entry point
LangGraph workflow
The current recommended graph is linear:
__start__
↓
build_messages
↓
call_model
↓
fetch_sunsetbot
↓
format_answer
↓
__end__
Business node responsibilities:
build_messages:
Convert user input into a prompt that asks the LLM to output only the city name.
call_model:
Call an OpenAI-compatible LLM and extract a city, e.g. Beijing / Shanghai / Guangzhou.
fetch_sunsetbot:
Query sunsetbot.top and fetch both EC and GFS results.
format_answer:
Format city, event time, EC/GFS vividness, EC/GFS AOD aerosol, forecast cycles, and trace_id.
Expected result fields
The sunset query wrapper should expose normalized fields like:
city
event_name
event_time
models.EC.quality
models.EC.aod
models.EC.times
models.GFS.quality
models.GFS.aod
models.GFS.times
Example final answer shape:
城市：北京市-北京
事件：日落
时间：2026-06-05 19:37:23
EC：鲜艳度 0.0（不烧）；AOD气溶胶 0.33（一般）；时次 2026060412z
GFS：鲜艳度 0.017（微烧）；AOD气溶胶 0.33（一般）；时次 2026060500z
trace_id：...
CLI usage
From the companion project directory:
python -m pip install -e .
python -m unittest discover -s tests -v
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.
- 10d ago First seen · 235 lines · 29 tokens per session scan A 9255a50cfd9b
sunset-agent is a skill published in the GitHub repository PyzmxU/sunset-agent-hermes-skill (2 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 1,311 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.
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