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 wangyendt/wayne-skills --skill toolsgit clone --depth 1 https://github.com/wangyendt/wayne-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/wangyendt/wayne-skills/tools)<a href="https://agentmods.dev/skills/wangyendt/wayne-skills/tools"><img src="https://agentmods.dev/badge/skills/wangyendt/wayne-skills/tools/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/wangyendt/wayne-skills/tools"><img src="https://agentmods.dev/badge/skills/wangyendt/wayne-skills/tools.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 | $0.00061 | $0.00693 |
| Opus 5.5 | $0.00024 | $0.00277 |
| Sonnet 5.5 | $0.00012 | $0.00139 |
| Haiku 4.5 | $0.00006 | $0.00069 |
Grade A, and why
pywayne-cv-tools 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 2mo 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pywayne CV YAML I/O
This module provides utilities for reading and writing OpenCV cv2.FileStorage YAML files.
Quick Start
from pywayne.cv.tools import read_cv_yaml, write_cv_yaml
import numpy as np
# Write to YAML file
data = {
"camera_name": "test_camera",
"image_width": 1920,
"image_height": 1080,
"calibration_matrix": np.eye(3)
}
write_cv_yaml('config.yaml', data)
# Read from YAML file
data = read_cv_yaml('config.yaml')
print(data)
Supported Data Types
| Type | Handling |
|---|---|
int, float, str |
Written directly |
np.ndarray |
Written using fs.write() |
list |
Written using FileNode_SEQ |
dict |
Written using FileNode_MAP |
None |
Skipped |
Reading Files
from pywayne.cv.tools import read_cv_yaml
# Read YAML file (returns dict or None on error)
data = read_cv_yaml('camera_config.yaml')
if data:
print(data['camera_name'])
print(data['image_width'])
Notes:
- Handles nested structures recursively
- Returns
Noneif file cannot be opened - Uses
wayne_printfor error messages (red/yellow colors) - Supports both
FileNode_MAPandFileNode_SEQfor dictionaries and lists - Matrix nodes read using
.mat()method
Writing Files
from pywayne.cv.tools import write_cv_yaml
# Write data to YAML file
data = {
"matrix": np.eye(3),
"vector": [1, 2, 3]
}
success = write_cv_yaml('config.yaml', data)
if success:
print("Write successful")
Notes:
- Returns
Trueon success,Falseon error - Handles lists with empty key convention for OpenCV
- Supports unnamed sequences using empty key string
- Skips
Nonevalues during write
Requirements
cv2(OpenCV) - For FileStorage operationsnumpy- For numpy array handlingpywayne.tools- For wayne_print logging
API Reference
| Function | Description |
|---|---|
read_cv_yaml(path) |
Read OpenCV YAML file, returns dict or None |
write_cv_yaml(path, data) |
Write dict to OpenCV YAML file, returns bool |
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.
- 2mo ago First seen · 104 lines · 61 tokens per session scan A 5f21fcbb5c79
pywayne-cv-tools is a skill published in the GitHub repository wangyendt/wayne-skills (9 stars, last pushed 7d ago), licensed MIT. It adds 61 tokens to every session and 693 once invoked, about $0.0002 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.
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