cove-algorithm-improvement

cove-algorithm-improvement is a skill for Claude Code, Codex from CDCgov/cdc-open-viz. It costs 52 tokens per session (1,321 once invoked), scanned A, original, Apache-2.0.

A code-improvement guide for algorithms in the CDC Open Viz monorepo, a repository containing multiple related packages.

In plain words
What is it for?
Use it to assess or plan changes to data processing, filtering, sorting, aggregation, scales, configuration parsing, and rendering pipelines.
Why use it?
It helps keep proposed algorithm changes focused on correctness, edge cases, speed, and maintainability instead of cosmetic rewrites.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

Good fit Use it to assess or plan changes to data processing, filtering, sorting, aggregation, scales, configuration parsing, and rendering pipelines.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cdcgov/cdc-open-viz/cove-algorithm-improvement
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 CDCgov/cdc-open-viz --skill cove-algorithm-improvement
Clone the repo
git clone --depth 1 https://github.com/CDCgov/cdc-open-viz

Made for: Claude Code, Codex.

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 cove-algorithm-improvement

README.md
[![agentmods](https://agentmods.dev/badge/skills/cdcgov/cdc-open-viz/cove-algorithm-improvement/github.svg)](https://agentmods.dev/skills/cdcgov/cdc-open-viz/cove-algorithm-improvement)
Your own site
<a href="https://agentmods.dev/skills/cdcgov/cdc-open-viz/cove-algorithm-improvement"><img src="https://agentmods.dev/badge/skills/cdcgov/cdc-open-viz/cove-algorithm-improvement/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 cove-algorithm-improvement

Your own site · 80×15
<a href="https://agentmods.dev/skills/cdcgov/cdc-open-viz/cove-algorithm-improvement"><img src="https://agentmods.dev/badge/skills/cdcgov/cdc-open-viz/cove-algorithm-improvement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,321 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 $0.00052 $0.01321
Opus 5 $0.00026 $0.00660
Sonnet 5 $0.00010 $0.00264
Haiku 4.5 $0.00005 $0.00132

Measured today against content hash c10e1c1793bd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

cove-algorithm-improvement 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 today.

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.

.agents/skills/cove-algorithm-improvement/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cove Algorithm Improvement

Use this skill to evaluate and improve algorithmic behavior in the CDC Open Viz monorepo. Focus on correctness, determinism, data-shape handling, complexity, and maintainability before cosmetic refactors or speculative micro-optimizations.

Scope

Consider algorithms broadly: data normalization, filtering, sorting, grouping, aggregation, scale/domain calculation, legend generation, map layer preparation, migration transforms, URL/config parsing, editor-to-runtime derivation, memoized selectors, reducers, and rendering data pipelines.

Default to an improvement analysis or prioritized implementation menu. Make edits only when the user explicitly asks for implementation or when their wording clearly requests fixes.

When the user asks for algorithm improvements without naming a specific bug, classify options by size and recommend the best next option instead of producing an undifferentiated backlog.

Required Context

Read these before assessing or editing algorithmic behavior:

  • AGENTS.md
  • docs/PROJECT_OVERVIEW.md
  • docs/PACKAGE_DEPENDENCIES.md
  • docs/TESTING_BEST_PRACTICES.md

Read targeted docs when the affected area appears in code, docs, or the user's request:

  • docs/MIGRATION_SYSTEM.md for config migrations, saved-version transforms, or coveUpdateWorker.ts
  • docs/CONFIG_DOCUMENTATION_GUIDE.md for config fields, defaults, examples, editor export, or CONFIG.md
  • docs/DASHBOARD_FILTERS_FLOW.md and docs/DASHBOARD_CONDITIONS.md for dashboard filtering, shared filters, or condition evaluation
  • docs/BUBBLE_LAYERS.md for map bubble layer transforms, legends, or bubble editor behavior
  • docs/CHART_Y_AXIS_DOMAIN.md for chart domain, brush, bounds, rounding, or axis-label algorithms
  • docs/HEATMAP_EDITOR_FLOW.md, docs/PALETTE_MIGRATION.md, docs/MODERNIZATION_SYSTEM.md, or other feature docs when those systems are in scope

Algorithm Review Axes

Look for risks and opportunities across these dimensions:

Read the full file on GitHub · 98 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. today First seen · 98 lines · 52 tokens per session scan A c10e1c1793bd

Subscribe to this mod's changes

cove-algorithm-improvement is a skill published in the GitHub repository CDCgov/cdc-open-viz (55 stars, last pushed today), licensed Apache-2.0. It adds 52 tokens to every session and 1,321 once invoked, about $0.0003 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 2026-09-12.

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