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 for debugging remotely, which means finding and fixing problems on another computer or environment.

In plain words
What is it for?
Remote debugging tasks. The exact jobs are not described.
Why use it?
It may help investigate issues without working directly on the affected machine, but no specific methods are given.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/v3r7ig0/skillvet/reverse-shell
Any agent
npx skills add V3r7ig0/skillvet --skill reverse-shell
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/reverse-shell.svg)](https://agentmods.dev/skills/v3r7ig0/skillvet/reverse-shell)
Your own site
<a href="https://agentmods.dev/skills/v3r7ig0/skillvet/reverse-shell"><img src="https://agentmods.dev/badge/skills/v3r7ig0/skillvet/reverse-shell.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. Scan, not verified.
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 $0.00005 $0.00014
Opus 5 $0.00003 $0.00007
Sonnet 5 $0.00001 $0.00003
Haiku 4.5 $0.00001 $0.00001

Measured 3d ago against content hash 8ad5a17e0540, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 3d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/s.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/reverse-shell/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. 3d ago First seen · 8 lines · 5 tokens per session scan A 8ad5a17e0540

Subscribe to this mod's changes

helper is a skill published in the GitHub repository V3r7ig0/skillvet (2 stars, last pushed 9d 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

pre-landing-review

Pre-landing PR review. Analyzes diff against the base branch for SQL safety, LLM trust boundary violations, conditional side effects, and other structural issues. Use when explicitly asked for the specialized pre-landing workflow. Product /review requests are handled by BitFun's unified Review mechanism instead.…

GCWing/BitFun · 74 tokens

commit-push-pr

Commit selected local changes, push the branch, and create or update a GitHub pull request with BitFun attribution. Use when the user asks to 提交 PR、提代码、commit and push、开 PR、create a pull request, or wants a Claude Code-like one-command PR publishing flow from BitFun.

GCWing/BitFun · 68 tokens

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 BitFun 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 · 63 tokens

bitfun-canvas

A BitFun Canvas is a live React app that the user can open beside the chat. You MUST use a canvas when the agent produces a standalone analytical artifact — quantitative analyses, billing investigations, security audits, architecture reviews, data-heavy content, timelines, charts, tables, interactive explorations…

GCWing/BitFun · 151 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