Borrowing it
Nothing to install: this file belongs to aeren23/image-processing-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/aeren23/image-processing-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/aeren23/image-processing-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/instructions/aeren23/image-processing-skills/agents-md)<a href="https://agentmods.dev/instructions/aeren23/image-processing-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/aeren23/image-processing-skills/agents-md/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/instructions/aeren23/image-processing-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/aeren23/image-processing-skills/agents-md.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 | $0.00324 | $0.00324 |
| Opus 5.5 | $0.00130 | $0.00130 |
| Sonnet 5.5 | $0.00065 | $0.00065 |
| Haiku 4.5 | $0.00032 | $0.00032 |
Grade A, and why
image-processing-skills AGENTS.md 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.
What it actually says
Image Processing Skills — Agent Instructions
This repository contains decision-focused skills for computer vision and image processing tasks using OpenCV, YOLO, and MediaPipe.
How to Use These Skills
- Skills are in
skills/*/SKILL.md— each is a self-contained decision guide - Pipeline recipes are in
pipelines/— ready-to-use processing chains - Code examples are in
code-examples/— minimal runnable scripts
Key Conventions
- All OpenCV code assumes BGR color order (not RGB)
- Coordinate convention:
img[y, x]for array indexing,(x, y)for function parameters - Kernel sizes must always be odd numbers (3, 5, 7...)
- Always convert to grayscale before thresholding or edge detection
- Apply Gaussian blur before Canny edge detection to prevent noise artifacts
Skill Loading Priority
When working on an image processing task, load skills in this order:
- image-fundamentals — for format/color space decisions
- preprocessing-decisions — for filter selection
- thresholding-strategy — if segmentation is needed
- morphology-toolkit — if binary cleanup is needed
- contour-analysis — if shape measurement is needed
- yolo-pipeline — if deep learning detection/segmentation is needed
- mediapipe-tracking — if real-time body/hand/face tracking is needed
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 · 28 lines · 324 tokens per session scan A d0646e23247b
image-processing-skills AGENTS.md is an instructions file published in the GitHub repository aeren23/image-processing-skills (7 stars, last pushed 5mo ago), licensed MIT. It adds 324 tokens to every session, about $0.0013 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 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.