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 agentmods add skills/devcsde/oatda-skills/oatda-vision-analysisnpx skills add devcsde/oatda-skills --skill oatda-vision-analysisgit clone --depth 1 https://github.com/devcsde/oatda-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/devcsde/oatda-skills/oatda-vision-analysis)<a href="https://agentmods.dev/skills/devcsde/oatda-skills/oatda-vision-analysis"><img src="https://agentmods.dev/badge/skills/devcsde/oatda-skills/oatda-vision-analysis.svg" alt="Measured on agentmods" 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 | $0.00046 | $0.01643 |
| Opus 5 | $0.00023 | $0.00822 |
| Sonnet 5 | $0.00009 | $0.00329 |
| Haiku 4.5 | $0.00005 | $0.00164 |
Grade A, and why
oatda-vision-analysis 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 3d 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.
- The key resolution script and subsequent `curl` commands **must run in the same shell session**. Each separate bash/terminal invocation starts with an isolated environment where previously exported variables are lost. How it starts
The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OATDA Vision Analysis
Analyze images using vision-capable AI models through OATDA's unified API endpoint.
When to Use
Use this skill when the user wants to:
- Analyze or describe an image via OATDA
- Extract text (OCR) from an image using a vision model
- Understand diagrams, charts, or screenshots
- Get AI-powered image descriptions from OpenAI, Anthropic, or Google
Prerequisites
The user needs an OATDA API key. Check in this order:
$OATDA_API_KEYenvironment variable~/.oatda/credentials.jsonconfig file
If neither exists, tell the user:
You need an OATDA API key. Get one at https://oatda.com, then set it:
export OATDA_API_KEY=your_key_here
Step-by-Step Instructions
1. Resolve the API key
# Check env var first; if empty, auto-load from credentials file
if [[ -z "$OATDA_API_KEY" ]]; then
export OATDA_API_KEY=$(cat ~/.oatda/credentials.json 2>/dev/null | jq -r '.profiles[.defaultProfile].apiKey' 2>/dev/null)
fi
# Verify key exists (show first 8 chars only)
echo "${OATDA_API_KEY:0:8}"
If the output is empty or null, stop and ask the user to configure their API key.
IMPORTANT:
- Never print the full API key. Only show the first 8 characters for verification.
- The key resolution script and subsequent
curlcommands must run in the same shell session. Each separate bash/terminal invocation starts with an isolated environment where previously exported variables are lost. Either run all commands in one session, or chain them (e.g.,export OATDA_API_KEY=... && curl ...).
2. Determine the model
Map common aliases to provider/model format:
| User says | Provider | Model |
|---|---|---|
| gpt-4o (default) | openai | gpt-4o |
| gpt-4o-mini | openai | gpt-4o-mini |
| gpt-5 | openai | gpt-5 |
| claude, sonnet | anthropic | claude-sonnet-4-5-20250929 |
| opus | anthropic | claude-opus-4-5-20251101 |
| gemini | gemini-3-pro-preview | |
| gemini-2.5 | gemini-2.5-pro | |
| glm-v | zai | glm-4.6v |
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.
- 3d ago First seen · 172 lines · 46 tokens per session scan A e78fe2737c45
oatda-vision-analysis is a skill published in the GitHub repository devcsde/oatda-skills (0 stars, last pushed 4d ago), licensed Apache-2.0. It adds 46 tokens to every session and 1,643 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
9router-stt
Speech-to-text via 9Router /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI / NVIDIA / HuggingFace models. Use when the user wants to transcribe audio, convert speech to text, or get subtitles from audio files.
genre-creator
Create new genre documentation files for the bitwize-music genre library. Use when the user wants to add a genre, says "/genre-creator", "neues Genre erstellen", "Genre hinzufuegen", "add genre", or asks to create genre documentation. Takes a genre name as argument.
import-art
Places album art files in the correct audio and content directory locations. Use when the user has generated or downloaded album artwork that needs to be saved.
capcut-edit
Edit CapCut / JianYing video projects — read and write subtitles, timing, speed, volume, templates, animations (fade/ken-burns), and cut long-form to shorts. Use when the user mentions capcut, jianying, subtitles, video editing, draftcontent.json, draftinfo.json, or cutting videos.
aceternity-ui
100+ animated React components (Aceternity UI) for Next.js with Tailwind. Use for hero sections, parallax, 3D effects, or encountering animation, shadcn CLI integration errors.
video-perception
Use when the user mentions a video file (.mp4, .mov, .avi, .mkv, .webm), a YouTube URL, asks to watch/analyze/review a video, or references video content in conversation.