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 opengeos/geoai-skills --skill detect-objectsgit clone --depth 1 https://github.com/opengeos/geoai-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/opengeos/geoai-skills/detect-objects)<a href="https://agentmods.dev/skills/opengeos/geoai-skills/detect-objects"><img src="https://agentmods.dev/badge/skills/opengeos/geoai-skills/detect-objects.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 5.1 | $0.00045 | $0.01200 |
| Opus 5 | $0.00023 | $0.00600 |
| Sonnet 5 | $0.00009 | $0.00240 |
| Haiku 4.5 | $0.00005 | $0.00120 |
Grade A, and why
detect-objects 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 8d 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are helping the user run AI object detection on geospatial imagery using geoai.
Input: $@
Follow these steps in order.
Step 1 -- Parse arguments
Extract:
$0as the model name:buildings,cars,ships,solar-panels,parking-lots,agriculture, orgrounded-sam$1as the input raster path--text PROMPTfor GroundedSAM text-prompted segmentation (required when model isgrounded-sam)--output FILEfor the output vector file (default:./<model>_detections.gpkg)
If the model name is not recognized, list the available models and ask the user to pick one.
Model mapping:
| Argument | GeoAI Class |
|---|---|
buildings |
geoai.BuildingFootprintExtractor |
cars |
geoai.CarDetector |
ships |
geoai.ShipDetector |
solar-panels |
geoai.SolarPanelDetector |
parking-lots |
geoai.ParkingSplotDetector |
agriculture |
geoai.AgricultureFieldDelineator |
grounded-sam |
geoai.GroundedSAM |
Step 2 -- Check GPU availability
python3 -c "
import torch
if torch.cuda.is_available():
print(f'GPU: {torch.cuda.get_device_name(0)}')
print(f'CUDA: {torch.version.cuda}')
print(f'Memory: {torch.cuda.get_device_properties(0).total_mem / 1e9:.1f} GB')
else:
print('GPU: not available (CPU mode)')
print('Warning: inference will be significantly slower without a GPU')
"
If no GPU is available, warn the user but continue.
Step 3 -- Resolve the input file
If $1 looks like an absolute path, use it directly. Otherwise:
find "$PWD" -name "$1" -not -path '*/.git/*' 2>/dev/null
If no file specified and state exists, check for recently inspected/downloaded files:
STATE_DIR=""
test -f .geoai-skills/state.json && STATE_DIR=".geoai-skills"
PROJECT_ROOT="$(git rev-parse --show-toplevel 2>/dev/null || echo "$PWD")"
PROJECT_ID="$(echo "$PROJECT_ROOT" | tr '/' '-')"
test -f "$HOME/.geoai-skills/$PROJECT_ID/state.json" && STATE_DIR="$HOME/.geoai-skills/$PROJECT_ID"
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.
- 8d ago First seen · 143 lines · 45 tokens per session scan A 3a63b1522dce
detect-objects is a skill published in the GitHub repository opengeos/geoai-skills (30 stars, last pushed 1mo ago), licensed MIT. It adds 45 tokens to every session and 1,200 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.
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