Hermes Agent is an AI assistant that learns from its use by creating and improving skills, retaining knowledge, searching past conversations, and adapting to its users. It is for people who want to run an agent through a terminal or messaging platforms while connecting it to different AI models and scheduled tasks.
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 NousResearch/hermes-agent --skill kanban-video-orchestratorgit clone --depth 1 https://github.com/NousResearch/hermes-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/nousresearch/hermes-agent/kanban-video-orchestrator)<a href="https://agentmods.dev/skills/nousresearch/hermes-agent/kanban-video-orchestrator"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/kanban-video-orchestrator/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/nousresearch/hermes-agent/kanban-video-orchestrator"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/kanban-video-orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 151 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Rogue Agent · line 41 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00016 | $0.02314 |
| Opus 5 | $0.00008 | $0.01157 |
| Sonnet 5 | $0.00003 | $0.00463 |
| Haiku 4.5 | $0.00002 | $0.00231 |
Grade A, and why
kanban-video-orchestrator 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 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.
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.
Copies of this mod
7 near-identical copies found in the catalogue:
- kanban-video-orchestrator — 100% identical, 0 lines differ
- kanban-video-orchestrator — 100% identical, 0 lines differ
- kanban-video-orchestrator — 98% identical, 6 lines differ
- kanban-video-orchestrator — 89% identical, 8 lines differ
- kanban-video-orchestrator — 89% identical, 8 lines differ
- kanban-video-orchestrator — 89% identical, 8 lines differ
- kanban-video-orchestrator — 86% identical, 32 lines differ
How it starts
The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kanban Video Orchestrator
Wrap any video request — from a 15-second product teaser to a 5-minute narrative short to a music video to an ASCII loop — in a Hermes Kanban pipeline that decomposes the work to specialized agent profiles.
This skill does not render anything itself. It is a meta-pipeline that:
- Scopes the request through targeted discovery
- Designs an appropriate team (which roles, which tools per role) based on the style
- Generates a setup script that creates Hermes profiles, project workspace, and the initial kanban task
- Hands off to the director profile, which decomposes via the kanban
- Monitors execution, helps intervene when tasks stall or fail
The actual rendering happens inside the kanban once it's running, via whichever
existing skills + tools fit the scenes — ascii-video, manim-video, p5js,
comfyui, touchdesigner-mcp, songwriting-and-ai-music,
heartmula, external APIs, or plain Python with PIL + ffmpeg.
When NOT to use this skill
- The video is one continuous procedural project that needs no specialists. Just write the code directly.
- The user wants a quick one-shot conversion (e.g. "convert this mp4 to a GIF") — use ffmpeg directly.
- The output is a static image, GIF, or audio-only artifact — use the matching specific skill (
ascii-art,gifs,meme-generation,songwriting-and-ai-music). - The work fits a single existing skill cleanly (e.g. a pure ASCII video — just use
ascii-video).
Workflow
DISCOVER → BRIEF → TEAM DESIGN → SETUP → EXECUTE → MONITOR
Step 1 — Discover (ask the right questions)
The discovery process is adaptive: ask only what is actually needed. Always start with three questions to identify the broad shape:
- What is the video? (one-sentence brief)
- How long? (5-30s teaser / 30-90s short / 90s-3min explainer / 3-10min film / longer)
- What aspect ratio + target platform? (1:1 / 9:16 / 16:9; X, IG, YouTube, internal, etc.)
What ships with it
11 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.
- assets/brief.md.tmpl 2.1 KB
- assets/setup.sh.tmpl 8.1 KB
- assets/soul.md.tmpl 631 B
- references/examples.md 10 KB
- references/intake.md 7.8 KB
- references/kanban-setup.md 11 KB
- references/monitoring.md 7.3 KB
- references/role-archetypes.md 12 KB
- references/tool-matrix.md 13 KB
- scripts/bootstrap_pipeline.py 18 KB runs code
- scripts/monitor.py 6.6 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 · 209 lines · 16 tokens per session scan A 23a8965edfb5
kanban-video-orchestrator is a skill published in the GitHub repository NousResearch/hermes-agent (244,059 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 2,314 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 2026-08-30.
Other skills, from other repositories
export-as-pptx-editable
Native text & shapes — editable in PowerPoint.
batch
Research and plan a large-scale change, then execute it in parallel across 5–30 isolated worktree agents that each open a PR.
export-as-pptx-screenshots
Flat images — pixel-perfect but not editable.
9router-video
Generate videos via 9Router /v1/videos/generations using xAI Grok Imagine (grok-imagine-video). Async job flow - submit, poll requestid until done, download MP4. Use when the user wants to create, generate, or render a video, text-to-video (txt2vid), or image-to-video.
9router-tts
Text-to-speech via 9Router /v1/audio/speech using OpenAI / ElevenLabs / Deepgram / Edge TTS / Google TTS / Hyperbolic / Inworld voices. Use when the user wants to convert text to speech, generate audio, voiceover, narrate, or read text aloud.
flier
Design a print-ready, single-page flier as one self-contained HTML file: exactly one fixed-size page.