swiss-knife

swiss-knife is a skill for Claude Code, Codex from Lingtai-AI/lingtai. It costs 41 tokens per session (1,737 once invoked), scanned A, original, Apache-2.0.

A routing guide for choosing among small command-line utilities and integrations, such as image tools, audio tools, and vision tools.

In plain words
What is it for?
Use it to select the appropriate bundled tool for media generation, image understanding, audio analysis, or other command-line tasks.
Why use it?
It helps an agent find the right focused utility without loading every procedure or reference.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for aider. Also seen: mentions Claude Code; mentions Codex; built for aider.

Good fit Use it to select the appropriate bundled tool for media generation, image understanding, audio analysis, or other command-line tasks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lingtai-ai/lingtai/swiss-knife
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 Lingtai-AI/lingtai --skill swiss-knife
Clone the repo
git clone --depth 1 https://github.com/Lingtai-AI/lingtai

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 swiss-knife

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/lingtai-ai/lingtai/swiss-knife"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/swiss-knife.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,737 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 pass 7 Sept 2026
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 $0.00041 $0.01737
Opus 5.5 $0.00016 $0.00695
Sonnet 5.5 $0.00008 $0.00347
Haiku 4.5 $0.00004 $0.00174

Measured 16d ago against content hash 6bb9aaf8e026, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

swiss-knife 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 16d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (reference/token-usage/scripts/cost_report.py, reference/token-usage/scripts/tool_calls_per_api_call_trend.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.

tui/internal/preset/skills/swiss-knife/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.

Swiss Knife — Utility Toolkit Router

Swiss Knife is a top-level router for small, focused utility references. Enter through this file, choose exactly one nested reference from the catalog below, then read that nested SKILL.md for the actual procedure, examples, scripts, and assets.

Nested reference catalog

nested_references:
  - name: bash-cli-harnesses
    # Virtual cross-skill redirect, not a local reference/<name>/SKILL.md file.
    location: bash-manual reference/bash-*/SKILL.md
    description: >
      Coding-agent CLIs such as Claude Code, OpenAI Codex, OpenCode, Cursor
      Agent, MiMo Code, Qwen Code, Oh-My-Pi, Gemini CLI, Aider, Goose,
      OpenHands, and Crush are now owned by `bash-manual` because they run as
      long-lived shell subprocesses. Read `bash-manual` and then the matching
      nested `reference/bash-*/SKILL.md`; Swiss Knife only keeps non-bash utility
      references.
  - name: minimax-cli
    location: reference/minimax-cli/SKILL.md
    description: >
      Nested swiss-knife reference for the MiniMax `mmx` CLI. Read this for
      MiniMax-backed image, video, music, TTS, or ad-hoc shell vision tasks.
  - name: academic-research
    location: reference/academic-research/SKILL.md
    description: >
      Nested swiss-knife reference for citation and empirical evidence gates.
      Verify sources before drafting and anchor claims to data and runner code;
      no bundled paper-fetch scripts or API/pipeline cookbook.
  - name: token-usage
    location: reference/token-usage/SKILL.md
    description: >
      Nested swiss-knife reference for network-wide token, cost, cache, and tool-call/API-call trend reports. Read
      this when the human asks about token usage, budget, model costs, spending, cache behavior, or tools per API call
      across agent ledgers.
  - name: html-report
    location: reference/html-report/SKILL.md
    description: >
      Nested swiss-knife reference for standalone HTML deliverables. Read this
      when the human asks for a polished browser-openable report, dashboard,
      memo, comparison, or any HTML artifact with MathJax equations.
  - name: xiaomi-mimo
    location: reference/xiaomi-mimo/SKILL.md
    description: >
      Nested swiss-knife reference for Xiaomi MiMo provider discovery. Read this
      when the human asks to use or configure Xiaomi MiMo / 小米MiMo, or when you
      need to understand the MiMo model family and compatible endpoints.
  - name: zhipu-coding-plan
    location: reference/zhipu-coding-plan/SKILL.md
    description: >
      Nested swiss-knife reference for the Zhipu / Z.AI / BigModel coding-plan
      subscription. Read this when the human asks about Zhipu credentials or the
      plan's vision, web search, web-read, and zread MCP capabilities.
  - name: preset-health
    location: reference/preset-health/SKILL.md
    description: >
      Nested swiss-knife reference for read-only saved-preset health checks.
      Read this when the human asks whether saved presets still work, which one
      is expired or misconfigured, or why `system(action="presets")` shows a bad
      connectivity status. It enumerates saved presets, classifies failures
      (expired key, missing credentials, unreachable endpoint, invalid
      model/config, connectivity failure), and reports actionable fixes without
      printing or mutating any secret.

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. 16d ago Changed · -7 lines · -7 tokens per session 6bb9aaf8e026
  2. 17d ago Changed · -38 lines · -104 tokens per session d5b5b518ff18
  3. 1mo ago Changed · -5 lines · -79 tokens per session f4834f0bc7ce
  4. 1mo ago First seen · 187 lines · 231 tokens per session scan A 534694b2fc29

Subscribe to this mod's changes

swiss-knife is a skill published in the GitHub repository Lingtai-AI/lingtai (509 stars, last pushed 12d ago), licensed Apache-2.0. It adds 41 tokens to every session and 1,737 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 2026-09-03.

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