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 5.5 | $0.00014 | $0.00264 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 (31 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 661 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 2026-08-30.
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