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 agentmods add skills/plurigrid/asi/map-projectionnpx skills add plurigrid/asi --skill map-projectiongit clone --depth 1 https://github.com/plurigrid/asiWrote 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/plurigrid/asi/map-projection)<a href="https://agentmods.dev/skills/plurigrid/asi/map-projection"><img src="https://agentmods.dev/badge/skills/plurigrid/asi/map-projection.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 | $0.00000 | $0.01890 |
| Opus 5 | $0.00000 | $0.00945 |
| Sonnet 5 | $0.00000 | $0.00378 |
| Haiku 4.5 | $0.00000 | $0.00189 |
Grade A, and why
map-projection 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.
How it starts
The opening of the file, as written. The whole thing — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Map Projection Skill
Category theory of map projections: functors between manifolds with distortion analysis.
Trigger
- Map projection selection and analysis
- Distortion metrics (Tissot's indicatrix)
- Coordinate system transformations
- Cartographic design decisions
GF(3) Trit: +1 (Generator)
Generates projections from sphere to plane, creating new coordinate representations.
Category Theory of Projections
A map projection is a functor:
P: Sphere → Plane
S² → ℝ²
Different projections preserve different properties:
- Conformal (angle-preserving): Mercator, Stereographic
- Equal-area: Albers, Lambert, Mollweide
- Equidistant: Azimuthal equidistant
- Compromise: Robinson, Winkel Tripel
Projection Functors
import math
class Projection:
"""Base projection functor."""
def forward(self, lat, lon):
"""S² → ℝ²"""
raise NotImplementedError
def inverse(self, x, y):
"""ℝ² → S²"""
raise NotImplementedError
@property
def distortion_type(self):
raise NotImplementedError
class Mercator(Projection):
"""Conformal cylindrical projection."""
def forward(self, lat, lon):
x = math.radians(lon)
y = math.log(math.tan(math.pi/4 + math.radians(lat)/2))
return x, y
def inverse(self, x, y):
lon = math.degrees(x)
lat = math.degrees(2 * math.atan(math.exp(y)) - math.pi/2)
return lat, lon
@property
def distortion_type(self):
return "conformal" # Preserves angles
class LambertAzimuthal(Projection):
"""Equal-area azimuthal projection."""
def __init__(self, lat0=0, lon0=0):
self.lat0 = math.radians(lat0)
self.lon0 = math.radians(lon0)
def forward(self, lat, lon):
phi = math.radians(lat)
lam = math.radians(lon)
k = math.sqrt(2 / (1 + math.sin(self.lat0)*math.sin(phi) +
math.cos(self.lat0)*math.cos(phi)*math.cos(lam - self.lon0)))
x = k * math.cos(phi) * math.sin(lam - self.lon0)
y = k * (math.cos(self.lat0)*math.sin(phi) -
math.sin(self.lat0)*math.cos(phi)*math.cos(lam - self.lon0))
return x, y
@property
def distortion_type(self):
return "equal-area" # Preserves area
class Stereographic(Projection):
"""Conformal azimuthal projection."""
def __init__(self, lat0=90, lon0=0):
self.lat0 = math.radians(lat0)
self.lon0 = math.radians(lon0)
def forward(self, lat, lon):
phi = math.radians(lat)
lam = math.radians(lon)
k = 2 / (1 + math.sin(self.lat0)*math.sin(phi) +
math.cos(self.lat0)*math.cos(phi)*math.cos(lam - self.lon0))
x = k * math.cos(phi) * math.sin(lam - self.lon0)
y = k * (math.cos(self.lat0)*math.sin(phi) -
math.sin(self.lat0)*math.cos(phi)*math.cos(lam - self.lon0))
return x, y
@property
def distortion_type(self):
return "conformal"
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 · 241 lines · 0 tokens per session scan A 722165bd6320
map-projection is a skill published in the GitHub repository plurigrid/asi (62 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,890 tokens. 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 2026-09-01.
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