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 WaterplanAI/agentic-config --skill ac-tools-video-querygit clone --depth 1 https://github.com/WaterplanAI/agentic-configWrote 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/waterplanai/agentic-config/ac-tools-video-query)<a href="https://agentmods.dev/skills/waterplanai/agentic-config/ac-tools-video-query"><img src="https://agentmods.dev/badge/skills/waterplanai/agentic-config/ac-tools-video-query/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/waterplanai/agentic-config/ac-tools-video-query"><img src="https://agentmods.dev/badge/skills/waterplanai/agentic-config/ac-tools-video-query.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 | $0.00035 | $0.00661 |
| Opus 5 | $0.00017 | $0.00331 |
| Sonnet 5 | $0.00007 | $0.00132 |
| Haiku 4.5 | $0.00003 | $0.00066 |
Grade A, and why
ac-tools-video-query 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Query Command
Compatibility Note
This pi wrapper preserves the original video-query workflow while using a bundled skill-local helper script instead of the legacy plugin root.
Analyze a video file using Google Gemini API and answer questions about its content.
Video Path: $1 Query: $2
Pre-Flight Checks
-
Verify Video Path Provided
- If
$1is empty: STOP with "Error: Video path required. Usage: /skill:ac-tools-video-query "
- If
-
Verify Query Provided
- If
$2is empty: STOP with "Error: Query required. Usage: /skill:ac-tools-video-query "
- If
-
Verify Script Exists
- Resolve the bundled helper script path from this wrapper skill directory
- Check that script exists at resolved path
- If not found: STOP with "Error: video-query.py script not found in plugin"
-
Verify GEMINI_API_KEY
- Check if GEMINI_API_KEY environment variable is set
- If not set: STOP with "Error: GEMINI_API_KEY not set. Export it:
export GEMINI_API_KEY=your_key"
Execution
-
Resolve Script Path
- Use skill-local path resolution:
SCRIPT_PATH="./video-query.py" -
Run Video Query Script
- Execute:
uv run "$SCRIPT_PATH" "$1" "$2" --json - Capture output
- Execute:
-
Parse JSON Response
- Extract: video_path, query, model, response, usage, cost, time_seconds
-
Format and Present Results
Present results as:
## Video Analysis Results
**Video:** <video_path>
**Model:** <model>
**Query:** <query>
### Response
<model response text>
---
**Cost:** $<total_cost_usd> | **Tokens:** <input_tokens> in / <output_tokens> out | **Time:** <time_seconds>s
Error Handling
| Error | Action |
|---|---|
| Video not found | Show: "Video file not found: $1" |
| API key not set | Show: "GEMINI_API_KEY not set. Export it: export GEMINI_API_KEY=your_key" |
| API error | Show full error output |
| Script error | Show full error output |
| Script not found | Show: "video-query.py not found in plugin" |
What ships with it
1 file 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.
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 · 96 lines · 35 tokens per session scan A 13131848e3d6
ac-tools-video-query is a skill published in the GitHub repository WaterplanAI/agentic-config (30 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 661 once invoked, about $0.0002 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
vfx-text-cursor
A video or hero-frame effect where a cursor reveals a sentence character by character with coloured trails, light streaks, and a final shimmer.
dashscope
DashScope (Alibaba Cloud Bailian / 阿里云百炼) integration — image generation (qwen-image-2.0-pro), text-to-speech (qwen3-tts-flash), and ASR with word-level timestamps (qwen3-asr-flash-filetrans). Use when generating images via Qwen-Image, narrating via Qwen-TTS, or transcribing with word-level timestamps via Qwen-ASR.
editorial-illustrations
Generate meaning-carrying editorial data-illustrations in the monotykamary / Linear aesthetic (near-black grayscale, Inter display + mono labels, hairline framed figures) with a single coral accent. This is a GENERATIVE GUIDE, not a template gallery: it teaches the "claim -> geometry" method so any session can invent…
content-factory
Autonomous content pipeline - scout announcements in your field, triage by trend momentum and personal angle, produce posts/blogs/videos in your voice with ledger-based dedup, hard volume caps, and screenshot-verified publishing.
museum-art
Source authentic, high-res PUBLIC-DOMAIN artwork from museum open-access APIs (Met, Cleveland, SMK, Rijksmuseum, NGA, Art Institute of Chicago, Getty, Smithsonian) instead of AI-generated or generic-stock imagery. The default move whenever a visual needs an aesthetic, credible image (blog heroes, decks, social cards…
llm-prompting-guide
Prompt format rules for generative video and music models. Use when writing or reviewing a prompt for MiniMax H3 (text/image/reference-to-video with native audio) or MiniMax Music 3 (song generation from caption plus lyrics), in ComfyUI or elsewhere. Do NOT use for chat-assistant prompts, or for generative models not…