NodeBenchAI: Skill for Claude Code

.claude/skills/dep-vega/SKILL.md

dep-vega is a skill for Claude Code from HomenShum/NodeBenchAI. It costs 80 tokens per session (1,493 once invoked), scanned A, original, MIT.

A runbook for updating the Vega family of data-visualization packages: Vega, Vega-Lite, and Vega-Embed. It also covers updating the schema reference used by charts and addressing a known cross-site scripting security issue.

In plain words
What is it for?
Use it when upgrading any of the three packages or responding to the specified Vega security alert.
Why use it?
These packages work together, so updating only one can cause installation or chart-rendering failures.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is HomenShum/NodeBenchAI's own configuration. It tells Claude Code how to work on NodeBenchAI 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 NodeBenchAI configures →

Reuse

Borrowing it

Nothing to install: this file belongs to HomenShum/NodeBenchAI. 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/HomenShum/NodeBenchAI/main/.claude/skills/dep-vega/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/HomenShum/NodeBenchAI

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/homenshum/nodebenchai/dep-vega"><img src="https://agentmods.dev/badge/skills/homenshum/nodebenchai/dep-vega.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,493 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: 4 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 71
    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 72
    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]
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 $0.00080 $0.01493
Opus 5.5 $0.00032 $0.00597
Sonnet 5.5 $0.00016 $0.00299
Haiku 4.5 $0.00008 $0.00149

Measured 1mo ago against content hash 8c976f94a432, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dep-vega 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.

.claude/skills/dep-vega/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

vega ecosystem coordinated-bump runbook

Last verified

  • Working versions (since 2026-04-26):
    • vega: ^6.2.0
    • vega-lite: ^6.4.3
    • vega-embed: ^7.1.0
  • Schema URL in SafeVegaChart.tsx: https://vega.github.io/schema/vega-lite/v6.json

Why these three move together

The vega family has tight peer-dependency coupling:

  • vega-lite peers on vega: ^6.0.0
  • vega-embed peers on vega: * and vega-lite: * (loose, but in practice tracks majors)
  • The Vega-Lite spec schema URL is version-locked in our component code

Bumping any one without the others either fails install (peer error) or runtime-fails when the schema URL doesn't match the installed Vega-Lite.

The 2026-04-26 bump in PR #124 was driven by CVE-2025-59840 — a HIGH XSS vulnerability via expression abuse with VEGA_DEBUG.toString calls, fixed in [email protected].

Coupled bumps (always do all three at once)

"vega":         "^6.2.0",
"vega-embed":   "^7.1.0",
"vega-lite":    "^6.4.3"

Plus a schema URL update in code (see Recipe Step 3).

Recipe (bumping to a newer 6.x or 7.x)

Step 1 — Verify peer compatibility

npm view vega-lite@<target> peerDependencies      # confirm "vega: ^6.0.0" range
npm view vega-embed@<target> peerDependencies     # usually "vega: *", "vega-lite: *"

Step 2 — Bump all three in package.json

-"vega":         "^6.2.0",
-"vega-embed":   "^7.1.0",
-"vega-lite":    "^6.4.3",
+"vega":         "^6.X.0",
+"vega-embed":   "^7.X.0",
+"vega-lite":    "^6.X.0",

Then npm install.

Step 3 — Update spec schema URL (if vega-lite major changed)

If vega-lite major version changed (5 → 6 or 6 → 7), update the schema URL in SafeVegaChart.tsx:

- (spec as any).$schema = "https://vega.github.io/schema/vega-lite/v6.json";
+ (spec as any).$schema = "https://vega.github.io/schema/vega-lite/v7.json";

Read the full file on GitHub · 128 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 · 128 lines · 80 tokens per session scan A 8c976f94a432

Subscribe to this mod's changes

dep-vega is a skill published in the GitHub repository HomenShum/NodeBenchAI (15 stars, last pushed 3d ago), licensed MIT. It adds 80 tokens to every session and 1,493 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 2026-08-30.

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