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 cxcscmu/SkillLearnBench --skill plate-tectonics-analysisgit clone --depth 1 https://github.com/cxcscmu/SkillLearnBenchWrote 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/cxcscmu/skilllearnbench/plate-tectonics-analysis)<a href="https://agentmods.dev/skills/cxcscmu/skilllearnbench/plate-tectonics-analysis"><img src="https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/plate-tectonics-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 5.1 | $0.00026 | $0.00571 |
| Opus 5 | $0.00013 | $0.00285 |
| Sonnet 5 | $0.00005 | $0.00114 |
| Haiku 4.5 | $0.00003 | $0.00057 |
Grade A, and why
plate-tectonics-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 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.
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
Plate Tectonics Analysis with PB2002 Dataset
PB2002 Dataset Structure
Plates (PB2002_plates.json)
- GeoJSON FeatureCollection with Polygon geometries
- Properties include
PlateName(e.g., "PA" for Pacific) - Each feature is a tectonic plate polygon
Boundaries (PB2002_boundaries.json)
- GeoJSON FeatureCollection with LineString geometries
- Properties:
PlateA,PlateB(2-letter plate codes),Name,Type - Pacific plate code: "PA"
- Boundaries involving Pacific: PlateA == "PA" or PlateB == "PA"
Common Plate Codes
- PA: Pacific, NA: North America, SA: South America
- EU: Eurasia, AF: Africa, AN: Antarctica
- AU: Australia, IN: India, NZ: Nazca
Workflow: Find Earthquakes Inside a Plate
import geopandas as gpd
# Load plate polygons and earthquake points
plates = gpd.read_file("PB2002_plates.json")
earthquakes = gpd.read_file("earthquakes.json")
# Get Pacific plate polygon
pacific = plates[plates["PlateName"] == "PA"]
# Spatial join: earthquakes within Pacific plate
eq_in_pacific = gpd.sjoin(earthquakes, pacific, predicate="within")
Workflow: Get Plate Boundaries
boundaries = gpd.read_file("PB2002_boundaries.json")
# Filter boundaries of Pacific plate
pa_bounds = boundaries[
(boundaries["PlateA"] == "PA") | (boundaries["PlateB"] == "PA")
]
# Merge all boundary segments into one geometry
pa_boundary_union = pa_bounds.unary_union
Workflow: Distance from Earthquake to Plate Boundary
# Project both to a suitable CRS
proj_crs = "+proj=aeqd +lat_0=0 +lon_0=-160 +datum=WGS84 +units=m"
eq_proj = eq_in_pacific.to_crs(proj_crs)
boundary_proj = pa_bounds.to_crs(proj_crs)
boundary_union_proj = boundary_proj.unary_union
# Calculate distances
eq_proj["dist_to_boundary"] = eq_proj.geometry.distance(boundary_union_proj)
eq_proj["dist_km"] = eq_proj["dist_to_boundary"] / 1000
# Find the earthquake furthest from boundary
furthest = eq_proj.loc[eq_proj["dist_km"].idxmax()]
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 · 73 lines · 26 tokens per session scan A 2ac5e8df55d4
plate-tectonics-analysis is a skill published in the GitHub repository cxcscmu/SkillLearnBench (83 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 571 once invoked, about $0.0001 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 2026-09-03.
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