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.
npx skills add Lingtai-AI/lingtai --skill swiss-knifegit clone --depth 1 https://github.com/Lingtai-AI/lingtaiWrote 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.
[](https://agentmods.dev/skills/lingtai-ai/lingtai/swiss-knife)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00152 | $0.02392 |
| Opus 5 | $0.00076 | $0.01196 |
| Sonnet 5 | $0.00030 | $0.00478 |
| Haiku 4.5 | $0.00015 | $0.00239 |
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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 182 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: vision
location: reference/vision/SKILL.md
description: >
Nested swiss-knife reference for image understanding. Read this when you
need to describe, OCR, or critique an image and aren't sure which path
applies — it routes between the built-in `vision` tool, the sibling
`minimax-cli` reference, and a local Hugging Face VLM fallback.
- name: listen
location: reference/listen/SKILL.md
description: >
Nested swiss-knife reference for local audio analysis. Read this when the
human asks you to transcribe a voice note, extract lyrics, critique
generated music, or measure audio characteristics — all local, no API key
(Whisper transcription and librosa music analysis).
- name: academic-research
location: reference/academic-research/SKILL.md
description: >
Nested swiss-knife reference for academic literature work. Read this to
fetch full-text papers by DOI/arXiv-ID/PMID, trace citation networks, run
scholar analysis, or write/compile LaTeX manuscripts — indexes 12 API
references and 6 pipeline workflows.
- name: dj
location: reference/dj/SKILL.md
description: >
Nested swiss-knife reference for composing one music track from a project
journal entry. Read this when the human asks for music for a journal day,
project vibe, session mood, or a specific generated genre.
- 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: headless-bot
location: reference/headless-bot/SKILL.md
description: >
Nested swiss-knife reference for creating and operating headless LingTai
bot projects from `lingtai-tui spawn`. The current helper provisions a
Telegram MCP bot, and the workflow also covers preset-policy replication,
addon wiring, secret hygiene, refresh/relaunch, and verification.
- name: find-something-to-do
location: reference/find-something-to-do/SKILL.md
description: >
Nested swiss-knife reference for idle curiosity practice. Read this when
you have no pending task, no human waiting, and want a reflective way to
notice quiet impulses or choose a small autonomous exploration.
- 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.
What ships with it
50 files 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.
- reference/academic-research/reference/anti-pattern-text-consistency-vs-data-correspondence.md 7.3 KB
- reference/academic-research/reference/api-arxiv.md 7.0 KB
- reference/academic-research/reference/api-core.md 4.3 KB
- reference/academic-research/reference/api-crossref.md 7.0 KB
- reference/academic-research/reference/api-doi-resolver.md 6.9 KB
- reference/academic-research/reference/api-europe-pmc.md 4.1 KB
- reference/academic-research/reference/api-google-scholar.md 7.9 KB
- reference/academic-research/reference/api-inspire-hep.md 3.8 KB
- reference/academic-research/reference/api-nasa-ads.md 3.8 KB
- reference/academic-research/reference/api-openalex.md 8.1 KB
- reference/academic-research/reference/api-pubmed.md 6.0 KB
- reference/academic-research/reference/api-semantic-scholar-batch.md 8.8 KB
- reference/academic-research/reference/api-semantic-scholar.md 6.8 KB
- reference/academic-research/reference/api-unpaywall.md 6.2 KB
- reference/academic-research/reference/authorized-publisher-access.md 10 KB
- reference/academic-research/reference/decision-tree.md 9.7 KB
- reference/academic-research/reference/error-handling.md 5.4 KB
- reference/academic-research/reference/evidence-verification-gate.md 9.3 KB
- reference/academic-research/reference/libgen-fallback.md 7.0 KB
- reference/academic-research/reference/pipeline-citation-tracking.md 5.2 KB
- reference/academic-research/reference/pipeline-discovery.md 4.4 KB
- reference/academic-research/reference/pipeline-latex-writing.md 10 KB
- reference/academic-research/reference/pipeline-obtain-pdf.md 7.6 KB
- reference/academic-research/reference/pipeline-scholar-analysis.md 5.0 KB
- reference/academic-research/reference/publisher-page-extraction.md 7.8 KB
- reference/academic-research/reference/zotero-institutional-fulltext-handoff.md 14 KB
- reference/academic-research/scripts/fetch_paper.py 38 KB runs code
- reference/academic-research/scripts/test_authorized_publisher.py 10 KB runs code
- reference/academic-research/scripts/test_fetch_paper.py 12 KB runs code
- reference/academic-research/SKILL.md 15 KB
- reference/dj/SKILL.md 8.4 KB
- reference/find-something-to-do/SKILL.md 13 KB
- reference/headless-bot/scripts/create_telegram_bot_project.py 7.2 KB runs code
- reference/headless-bot/SKILL.md 9.4 KB
- reference/html-report/assets/template.html 6.0 KB
- reference/html-report/SKILL.md 6.9 KB
- reference/listen/scripts/appreciate.py 5.2 KB runs code
- reference/listen/scripts/transcribe.py 2.8 KB runs code
- reference/listen/SKILL.md 5.9 KB
- reference/minimax-cli/SKILL.md 10 KB
- reference/preset-health/SKILL.md 10 KB
- reference/token-usage/scripts/cost_report.py 14 KB runs code
- reference/token-usage/scripts/custom_pricing.json 600 B
- reference/token-usage/scripts/tool_calls_per_api_call_trend.py 17 KB runs code
- reference/token-usage/SKILL.md 5.2 KB
- reference/vision/reference/local-models.md 5.3 KB
- reference/vision/scripts/describe.py 8.7 KB runs code
- reference/vision/SKILL.md 4.2 KB
- reference/xiaomi-mimo/SKILL.md 9.6 KB
- reference/zhipu-coding-plan/SKILL.md 8.9 KB
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.
- 6d ago Changed · -5 lines · -79 tokens per session f4834f0bc7ce
- 9d ago First seen · 187 lines · 231 tokens per session scan A 534694b2fc29
swiss-knife is a skill published in the GitHub repository Lingtai-AI/lingtai (677 stars, last pushed yesterday), licensed Apache-2.0. It adds 152 tokens to every session and 2,392 once invoked, about $0.0008 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 2026-09-03.
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