dxkit-learn

dxkit-learn is a skill for Claude Code from vyuh-labs/dxkit. It costs 76 tokens per session (2,339 once invoked), scanned A, original, MIT.

An explanatory skill for dxkit, a codebase health and guardrail tool. It explains its scanners, baselines, health measurements, and workflow checks.

In plain words
What is it for?
Use it to learn about dxkit scanners, baselines, health dimensions, guardrails, hooks, CI checks, and related codebase reports.
Why use it?
It gives developers the concepts needed to understand dxkit results before changing the installation or responding to findings.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions Claude Code.

Good fit Use it to learn about dxkit scanners, baselines, health dimensions, guardrails, hooks, CI checks, and related codebase reports.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vyuh-labs/dxkit/dxkit-learn
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 vyuh-labs/dxkit --skill dxkit-learn
Clone the repo
git clone --depth 1 https://github.com/vyuh-labs/dxkit

Made for: Claude Code.

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 dxkit-learn

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/vyuh-labs/dxkit/dxkit-learn"><img src="https://agentmods.dev/badge/skills/vyuh-labs/dxkit/dxkit-learn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,339 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 12 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 26
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 37
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 58
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 62
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 97
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 98
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 99
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 100
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 127
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 131
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 132
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 134
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
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 $0.00076 $0.02339
Opus 5.5 $0.00030 $0.00936
Sonnet 5.5 $0.00015 $0.00468
Haiku 4.5 $0.00008 $0.00234

Measured 1mo ago against content hash a59cc40df921, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dxkit-learn 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 1mo 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.

src-templates/.claude/skills/dxkit-learn/SKILL.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

dxkit-learn

This skill explains how dxkit works. Reach for it when the user asks about dxkit concepts before they take an action.

Mental model

dxkit measures a codebase along 6 dimensions (Security, Code Quality, Tests, Documentation, Maintainability, Developer Experience) using deterministic scanners (gitleaks, semgrep, cloc, jscpd, graphify, ruff, eslint, …). Findings are anchored to a baseline (.dxkit/baselines/main.json) so today's pre-existing issues don't block tomorrow's PR. A guardrail check diffs current state against the baseline and blocks net-new regressions; two additive contract gates ride the same check when configured — flow (net-new broken UI→API integrations) and schema drift (breaking data-model changes, opt-in). Hooks + CI wire the guardrail into the developer's workflow.

The three contracts to remember:

  1. Baseline = the brownfield anchor. Pre-existing findings are recorded once; future scans only block on additions.
  2. Hooks fire fast (pre-push); CI fires thorough. Both use the same guardrail logic.
  3. Reports are deterministic — same code + same baseline = same findings. The salt mode (deterministic vs random) controls per-finding identity stability across runs.

Discovering the full capability set (don't rely on this list staying complete)

dxkit's capabilities grow. Rather than trust a hand-written list, read the live capability registry — the single source of truth for what dxkit can do:

npx vyuh-dxkit capabilities --json

This returns every capability with its group, one-line summary, the dxkit-* skill that drives it, and — grounded in this repo — which ones are recommended (capabilities the repo would benefit from but isn't using yet). It never drifts: a new capability appears here the moment it ships.

Pair it with the repo-grounded advice from doctor:

npx vyuh-dxkit doctor --json   # .recommendations[] = what to adopt here, with the command to run

When a user asks "what can dxkit do for me?" or "what should I set up here?", read those two, then propose the fitting capabilities and drive each through its skill (the skill field tells you which). This is how a user configures dxkit by talking to you — the menu is machine-readable so you never guess.

Read the full file on GitHub · 137 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. 1mo ago First seen · 137 lines · 76 tokens per session scan A a59cc40df921

Subscribe to this mod's changes

dxkit-learn is a skill published in the GitHub repository vyuh-labs/dxkit (10 stars, last pushed 1mo ago), licensed MIT. It adds 76 tokens to every session and 2,339 once invoked, about $0.0003 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.

Related

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