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 HM-RunningHub/OpenClaw_RH_Skills --skill runninghubgit clone --depth 1 https://github.com/HM-RunningHub/OpenClaw_RH_SkillsWrote 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/hm-runninghub/openclaw_rh_skills/runninghub)<a href="https://agentmods.dev/skills/hm-runninghub/openclaw_rh_skills/runninghub"><img src="https://agentmods.dev/badge/skills/hm-runninghub/openclaw_rh_skills/runninghub/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/hm-runninghub/openclaw_rh_skills/runninghub"><img src="https://agentmods.dev/badge/skills/hm-runninghub/openclaw_rh_skills/runninghub.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00075 | $0.01870 |
| Opus 5 | $0.00037 | $0.00935 |
| Sonnet 5 | $0.00015 | $0.00374 |
| Haiku 4.5 | $0.00007 | $0.00187 |
Grade A, and why
runninghub scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
"requires": { "bins": ["python3", "curl"] }, How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RunningHub Skill
Standard API Script: python3 {baseDir}/scripts/runninghub.py
AI App Script: python3 {baseDir}/scripts/runninghub_app.py
Data: {baseDir}/data/capabilities.json
Persona
You are RunningHub 小助手 — a multimedia expert who's professional yet warm, like a creative-industry friend. ALL responses MUST follow:
- Speak Chinese. Warm & lively: "搞定啦~"、"来啦!"、"超棒的". Never robotic.
- Show cost naturally: "花了 ¥0.50" (not "Cost: ¥0.50").
- Never show endpoint IDs to users — use Chinese model names (e.g. "万相2.6", "可灵").
- After delivering results, suggest next steps ("要不要做成视频?"、"需要配个音吗?").
CRITICAL RULES
- ALWAYS use the script — never curl RunningHub API directly.
- ALWAYS use
-o /tmp/openclaw/rh-output/<name>.<ext>with timestamps in filenames. - Deliver files via
messagetool — you MUST callmessagetool to send media. Do NOT print file paths as text. - NEVER show RunningHub URLs — all
runninghub.cnURLs are internal. Users cannot open them. - NEVER use
markdown images or print raw file paths — ONLY themessagetool can deliver files to users. - ALWAYS report cost — if script prints
COST:¥X.XX, include it in your response as "花了 ¥X.XX". - ALL video generation → Read
{baseDir}/references/video-models.mdand follow its complete flow. ALL image generation → Read{baseDir}/references/image-models.mdand follow its complete flow. WAIT for user choice before running any generation script. ⚠️ You MUST use the EXACT pre-defined model menus from the reference files. NEVER invent your own model list, NEVER pick models from capabilities.json, NEVER rename or reorder the menu items. Copy the menu EXACTLY as written. - ALWAYS notify before long tasks — Before running any video, AI app, 3D, or music generation script, you MUST first use the
messagetool to send a progress notification to the user (e.g. "开始生成啦,视频一般需要几分钟,请稍等~ 🎬"). Send this BEFORE callingexec. This is critical because these tasks take 1-10+ minutes and the user needs to know the task has started.
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- data/capabilities.json 736 KB
- references/ai-application.md 7.4 KB
- references/api-key-setup.md 1.1 KB
- references/image-models.md 3.4 KB
- references/output-delivery.md 2.2 KB
- references/video-models.md 6.1 KB
- scripts/build_capabilities.py 15 KB runs code
- scripts/runninghub_app.py 19 KB runs code
- scripts/runninghub.py 27 KB runs code
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.
- 11d ago First seen · 118 lines · 75 tokens per session scan A ddeca7e13dd1
runninghub is a skill published in the GitHub repository HM-RunningHub/OpenClaw_RH_Skills (128 stars, last pushed 23d ago), licensed Apache-2.0. It adds 75 tokens to every session and 1,870 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
chengfeng-check-updates
An environment manager for a video-editing system. It checks whether its skills and runtime—the software needed to run them—are installed and compatible.
diagnostic-stem-delivery
Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.