helper

helper is a skill for Claude Code, Codex from V3r7ig0/skillvet. It costs 5 tokens per session (14 once invoked), scanned A, original, MIT.

A skill described only as a Node tool. Node usually refers to Node.js, a program used to run JavaScript outside a web browser.

In plain words
What is it for?
Using an unspecified Node.js tool.
Why use it?
The input does not identify what the tool does or which Node.js task it handles.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Using an unspecified Node.js tool.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/v3r7ig0/skillvet/sc-postinstall
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 V3r7ig0/skillvet --skill sc-postinstall
Clone the repo
git clone --depth 1 https://github.com/V3r7ig0/skillvet

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 helper

README.md
[![agentmods](https://agentmods.dev/badge/skills/v3r7ig0/skillvet/sc-postinstall.svg)](https://agentmods.dev/skills/v3r7ig0/skillvet/sc-postinstall)
Your own site
<a href="https://agentmods.dev/skills/v3r7ig0/skillvet/sc-postinstall"><img src="https://agentmods.dev/badge/skills/v3r7ig0/skillvet/sc-postinstall.svg" alt="Measured on agentmods" height="20"></a>
Per session 5 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 14 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 $0.00005 $0.00014
Opus 5 $0.00003 $0.00007
Sonnet 5 $0.00001 $0.00003
Haiku 4.5 $0.00001 $0.00001

Measured 7d ago against content hash a1216559a746, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

helper 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 7d 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.

benchmark/malicious/sc-postinstall/SKILL.md · 8 lines

What it actually says

Helper

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago First seen · 8 lines · 5 tokens per session scan A a1216559a746

Subscribe to this mod's changes

helper is a skill published in the GitHub repository V3r7ig0/skillvet (2 stars, last pushed 13d ago), licensed MIT. It adds 5 tokens to every session and 14 once invoked, about $0.0000 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 2026-08-31.

Related

Other skills, from other repositories

investigate

Systematic debugging with root cause investigation. Four phases: investigate, analyze, hypothesize, implement. Iron Law: no fixes without root cause. Use when asked to "debug this", "fix this bug", "why is this broken", "investigate this error", or "root cause analysis". Proactively invoke this skill (do NOT debug…

GCWing/BitFun · 112 tokens

pr-review-canvas

Create a OpenBitFun Canvas for reviewing a pull request, branch diff, or change set with Cursor-style diff cards, review maps, risk callouts, and focused reviewer flow. Use when the user asks for a PR review canvas, diff walkthrough, change-set overview, or visual review summary.

GCWing/BitFun · 64 tokens

office-hours

YC Office Hours — two modes. Startup mode: six forcing questions that expose demand reality, status quo, desperate specificity, narrowest wedge, observation, and future-fit. Builder mode: design thinking brainstorming for side projects, hackathons, learning, and open source. Saves a design doc. Use when asked to…

GCWing/BitFun · 168 tokens

openbitfun-frontend-dev

Safely customize the running packaged OpenBitFun desktop frontend through a draft, a provisional hot apply, and a 15-second user-confirmed rollback window. Use only in OpenBitFun Creative mode when the user asks to change OpenBitFun's own client UI.

GCWing/BitFun · 60 tokens

performing-container-security-scanning-with-trivy

Scan container images, filesystems, and Kubernetes manifests for vulnerabilities, misconfigurations, exposed secrets, and license compliance issues using Aqua Security Trivy with SBOM generation and CI/CD integration.

xalgorix/xalgorix · 48 tokens

qualitative-filtering

Qualitative stock analysis, management operating plan MOP assessment, key performance indicator KPI identification, catalyst identification and classification, earnings call transcript analysis, qualitative evidence gathering for investment thesis.

agentii-ai/agentii-investment-intelligence · 39 tokens