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 OpenLAIR/OpenSkill --skill evo-egomotion-dynamic-analysisgit clone --depth 1 https://github.com/OpenLAIR/OpenSkillWrote 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/openlair/openskill/evo-egomotion-dynamic-analysis)<a href="https://agentmods.dev/skills/openlair/openskill/evo-egomotion-dynamic-analysis"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-egomotion-dynamic-analysis/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/openlair/openskill/evo-egomotion-dynamic-analysis"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-egomotion-dynamic-analysis.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 | $0.00045 | $0.00490 |
| Opus 5 | $0.00023 | $0.00245 |
| Sonnet 5 | $0.00009 | $0.00098 |
| Haiku 4.5 | $0.00005 | $0.00049 |
Grade A, and why
evo-egomotion-dynamic-analysis 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 yesterday.
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
evo-egomotion-dynamic-analysis
Analyzes consecutive grayscale frame pairs to classify camera motion and detect dynamic objects.
Key Functions
-
compute_egomotion_labels(prev_gray, curr_gray, th_trans=2.0, th_scale=0.015, th_rot=0.01)Returns(labels, good_prev, good_curr)where labels is a list of motion strings. -
detect_dynamic_objects(prev_gray, curr_gray, good_prev, good_curr)Returns boolean mask (H,W) where True = dynamic pixel. -
analyze_frame_pairs(frames)Processes all consecutive pairs. Returns(motion_labels, dynamic_masks). motion_labels: list of (sample_idx_prev, sample_idx_curr, labels_list) dynamic_masks: list of boolean 2D arrays
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-egomotion-dynamic-analysis/scripts')
from utils import analyze_frame_pairs
motion_labels, dynamic_masks = analyze_frame_pairs(grayscale_frames)
Motion Classification Rules
- Dolly In/Out: scale deviation > 0.015 from 1.0
- Roll Left/Right: rotation > 0.01 rad
- Pan Left/Right: |tx| > 2.0 px AND |tx| >= |ty|. Positive tx = Pan Left.
- Tilt Up/Down: |ty| > 2.0 px AND |ty| > |tx|. Positive ty = Tilt Up.
- Stay: if no other label triggered
Pipeline
- Shi-Tomasi corners (goodFeaturesToTrack, maxCorners=300)
- Lucas-Kanade optical flow (calcOpticalFlowPyrLK)
- estimateAffinePartial2D with RANSAC for egomotion
- findHomography with RANSAC for motion compensation
- warpPerspective + absdiff + threshold(25) for dynamic mask
- Morphological open(3x3) + close(7x7) cleanup
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.
- yesterday First seen · 49 lines · 45 tokens per session scan A a6d7d0b6d144
evo-egomotion-dynamic-analysis is a skill published in the GitHub repository OpenLAIR/OpenSkill (90 stars, last pushed yesterday), licensed Apache-2.0. It adds 45 tokens to every session and 490 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 2026-09-11.
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