convex: Skill for Claude Code

.agents/skills/cad3-encoding/SKILL.md

cad3-encoding is a skill for Claude Code, Codex from Convex-Dev/convex. It costs 47 tokens per session (149 once invoked), scanned A, original, no licence file.

A reference for the CAD3 encoding format, which defines how data cells and their references are stored and represented.

In plain words
What is it for?
Use it when building or debugging CAD3 encoders, decoders, serialisation, hashing, or other code that reads and writes cell encodings.
Why use it?
It documents value identifiers, validity rules, and reference types needed to read or write CAD3 data correctly.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

This is Convex-Dev/convex's own configuration. It tells Claude Code and Codex how to work on convex itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything convex configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Convex-Dev/convex. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Convex-Dev/convex/develop/.agents/skills/cad3-encoding/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Convex-Dev/convex

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 cad3-encoding

README.md
[![agentmods](https://agentmods.dev/badge/skills/convex-dev/convex/cad3-encoding/github.svg)](https://agentmods.dev/skills/convex-dev/convex/cad3-encoding)
Your own site
<a href="https://agentmods.dev/skills/convex-dev/convex/cad3-encoding"><img src="https://agentmods.dev/badge/skills/convex-dev/convex/cad3-encoding/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 cad3-encoding

Your own site · 80×15
<a href="https://agentmods.dev/skills/convex-dev/convex/cad3-encoding"><img src="https://agentmods.dev/badge/skills/convex-dev/convex/cad3-encoding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 149 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 unknown 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 $0.00047 $0.00149
Opus 5.5 $0.00019 $0.00060
Sonnet 5.5 $0.00009 $0.00030
Haiku 4.5 $0.00005 $0.00015

Measured 2mo ago against content hash 02b1cd169c64, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cad3-encoding 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.

.agents/skills/cad3-encoding/SKILL.md · 14 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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 · 14 lines · 47 tokens per session scan A 02b1cd169c64

Subscribe to this mod's changes

cad3-encoding is a skill published in the GitHub repository Convex-Dev/convex (119 stars, last pushed yesterday), with no licence file. It adds 47 tokens to every session and 149 once invoked, about $0.0002 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 2026-08-30.

Related

cad3-encoding compared with skills from other repositories

cad3-encoding next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
cad3-encodingConvex-Dev/convexSkill119yesterdaynoneA47Claude Code, Codex
jpa-patternsaffaan-m/ECCSkill299kyesterdayMITA33Claude Code, Kiro
tika-eval-h2-queryapache/tikaSkill4.1ktodayApache-2.0A51Claude Code, Codex
azure-data-tables-javamicrosoft/skillsSkill3.2kyesterdayMITA47Claude Code
azure-cosmos-javamicrosoft/skillsSkill3.2kyesterdayMITA59Claude Code
cudf-query-engine-builderNVIDIA/skillsSkill3.9kyesterdayApache-2.0A99Claude Code, Codex
jpa-patternspiomin/claude-ai-spring-bootSkill1.4k8d agoApache-2.0A47Claude Code