find-convex-hull

find-convex-hull is a skill for Claude Code from jimmc414/claude-code-plugin-marketplace. It costs 31 tokens per session (842 once invoked), scanned A, original, MIT.

A guide to finding the convex hull: the smallest convex polygon that contains a set of points.

In plain words
What is it for?
Use it for point enclosure, collision bounds, polygon work, and map or geographic calculations.
Why use it?
It helps avoid designing the geometry procedure from scratch and explains when this method is unsuitable, such as for concave shapes.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the norvig-patterns plugin — 54 skills shipped together

Good fit Use it for point enclosure, collision bounds, polygon work, and map or geographic calculations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jimmc414/claude-code-plugin-marketplace/find-convex-hull
Install

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.

Any agent
npx skills add jimmc414/claude-code-plugin-marketplace --skill find-convex-hull
Clone the repo
git clone --depth 1 https://github.com/jimmc414/claude-code-plugin-marketplace

Made for: Claude Code.

Or install norvig-patterns, the plugin that ships this one along with the rest of its 54 skills.

Wrote 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.

agentmods badge for find-convex-hull

README.md
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Your own site
<a href="https://agentmods.dev/skills/jimmc414/claude-code-plugin-marketplace/find-convex-hull"><img src="https://agentmods.dev/badge/skills/jimmc414/claude-code-plugin-marketplace/find-convex-hull/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.

agentmods 80×15 button for find-convex-hull

Your own site · 80×15
<a href="https://agentmods.dev/skills/jimmc414/claude-code-plugin-marketplace/find-convex-hull"><img src="https://agentmods.dev/badge/skills/jimmc414/claude-code-plugin-marketplace/find-convex-hull.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 842 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00031 $0.00842
Opus 5.5 $0.00012 $0.00337
Sonnet 5.5 $0.00006 $0.00168
Haiku 4.5 $0.00003 $0.00084

Measured 2mo ago against content hash d3c4251f20a6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

find-convex-hull 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.

plugins/norvig-patterns/skills/find-convex-hull/SKILL.md · 104 lines

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.

find-convex-hull

When to Use

  • Finding convex hull of point set
  • Determining if point is inside polygon
  • Computational geometry problems
  • Collision detection bounds
  • Geographic/map computations

When NOT to Use

  • When hull is given (just use it)
  • Very few points (< 5, just check manually)
  • When you need concave hull

The Pattern

Monotone Chain Algorithm: Sort points, build upper and lower hulls separately using stack.

def convex_hull(points):
    """Find convex hull using monotone chain algorithm. O(n log n)."""
    points = sorted(set(points))  # Sort by x, then y

    if len(points) <= 3:
        return points

    # Build upper hull
    upper = []
    for p in points:
        while len(upper) >= 2 and turn(upper[-2], upper[-1], p) != 'left':
            upper.pop()
        upper.append(p)

    # Build lower hull
    lower = []
    for p in reversed(points):
        while len(lower) >= 2 and turn(lower[-2], lower[-1], p) != 'left':
            lower.pop()
        lower.append(p)

    return upper[:-1] + lower[:-1]  # Remove duplicate endpoints

def turn(A, B, C):
    """Determine turn direction A -> B -> C using cross product."""
    cross = (B[0] - A[0]) * (C[1] - B[1]) - (B[1] - A[1]) * (C[0] - B[0])
    if cross > 0:
        return 'left'
    elif cross < 0:
        return 'right'
    else:
        return 'straight'

Example (from pytudes Convex Hull.ipynb)

from collections import namedtuple

Point = namedtuple('Point', 'x y')

def turn(A, B, C):
    """Cross product determines turn direction."""
    diff = (B.x - A.x) * (C.y - B.y) - (B.y - A.y) * (C.x - B.x)
    return 'right' if diff < 0 else 'left' if diff > 0 else 'straight'

def half_hull(sorted_points):
    """Build one half of the hull."""
    hull = []
    for C in sorted_points:
        # Pop points that don't make left turn
        while len(hull) >= 2 and turn(hull[-2], hull[-1], C) != 'left':
            hull.pop()
        hull.append(C)
    return hull

def convex_hull(points):
    """Complete convex hull from two half-hulls."""
    if len(points) <= 3:
        return list(points)

    sorted_pts = sorted(points)
    upper = half_hull(sorted_pts)
    lower = half_hull(reversed(sorted_pts))

    return upper + lower[1:-1]  # Avoid duplicate endpoints

# Usage
points = [Point(0, 0), Point(1, 1), Point(2, 0), Point(1, 2), Point(0.5, 0.5)]
hull = convex_hull(points)
# Returns: [Point(0, 0), Point(2, 0), Point(1, 2)]

Read the full file on GitHub · 104 lines

Changes

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.

  1. 2mo ago First seen · 104 lines · 31 tokens per session scan A d3c4251f20a6

Subscribe to this mod's changes

find-convex-hull is a skill published in the GitHub repository jimmc414/claude-code-plugin-marketplace (4 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 842 once invoked, about $0.0001 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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