lingtai-dev-guide

lingtai-dev-guide is a skill for Claude Code, Codex from Lingtai-AI/lingtai. It costs 80 tokens per session (2,919 once invoked), scanned A, original, Apache-2.0.

A routing guide for contributing to LingTai, a project with a Go terminal interface, web portal, Python core, and add-ons. It directs developers to the detailed instructions needed for coding, testing, security checks, and project maintenance.

In plain words
What is it for?
Use it before changing LingTai code or documentation, setting up development tools, navigating its repositories, creating add-ons, troubleshooting the running system, reviewing a change, or maintaining project maps.
Why use it?
It prevents developers from changing code based only on general assumptions or incomplete summaries. The guide explains the required order for finding local instructions, deeper references, source code, and tests.

Skill for Claude CodeCodex

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

Good fit Use it before changing LingTai code or documentation, setting up development tools, navigating its repositories, creating add-ons, troubleshooting the running system, reviewing a change, or maintaining project maps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lingtai-ai/lingtai/lingtai-dev-guide
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 lingtai-dev-guide
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 lingtai-dev-guide

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/lingtai-ai/lingtai/lingtai-dev-guide"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/lingtai-dev-guide.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 2,919 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 $0.00080 $0.02919
Opus 5 $0.00040 $0.01460
Sonnet 5 $0.00016 $0.00584
Haiku 4.5 $0.00008 $0.00292

Measured yesterday against content hash 3efbd84021d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

lingtai-dev-guide 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 yesterday.

The scan reads SKILL.md. This mod also ships 1 executable file (reference/cache-hit-rate/scripts/cache_hit_rate.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/lingtai-dev-guide/SKILL.md · 222 lines

How it starts

The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LingTai Developer Guide

The cross-repository developer router for LingTai. The root stays short on purpose; detailed procedures live under reference/<topic>/.

Repository-local developer guidance takes precedence

Before using this guide, look for developer guidance maintained by the current repository and read it first. When it exists, follow it for repository-specific rules; it takes precedence over this global guide. Use this guide afterward — or when the local guide routes here — to select the deeper cross-repository topic you need, then read that nested reference before touching code. Do not substitute generic procedures here for local guidance, or restate local rules from memory.

Non-negotiable rules

  • Progressive disclosure: router → nested reference → anatomy skill → code + tests. Never jump from memory straight to edits.
  • Code is truth: reference files route and summarize; cited source files, tests, and ANATOMY.md files are authoritative.
  • Anatomy travels with code: if you move/rename/split/delete code cited by an ANATOMY.md, update the anatomy in the same commit, following the ANATOMY frontmatter contract below.
  • Explicit human authorization gates: do not open/merge PRs, push commits, file issues, close/delete resources, or change config unless the human gave an imperative authorization for that side effect.
  • Human-facing deliverables prefer HTML: substantial plans, audits, release notes, and PR-readiness reports should be standalone HTML unless waived.
  • Release/install docs rule: LingTai runtime is normally managed by the TUI-created project venv; do not present bare pip install/upgrade lingtai as the standard user path. Manual pip/venv commands are for developer, diagnostic, or verification contexts only.
  • Patch-to-self ownership rule: a merged PR or rebuilt checkout is not automatically live in the agent. The update/build owner must identify the actual runtime interpreter, imported source/package, HEAD/version, and intended selectors, then hand off the cutover target evidence. Kernel system-manualreference/refresh-precheck/SKILL.md alone owns the refresh transaction and targeted receipt. Load reference/runtime-self-check/SKILL.md only for the relevant provenance assertion or a suspected mismatch; an ordinary same-runtime reload does not invoke its deep diagnostic library.
  • Skill-size/progressive-disclosure rule: when writing or updating skills, treat read/context limits as a reason to keep the router lean and link onward, not as a reason to paste large content into SKILL.md. Put dense material in related/nested reference files and link to skills-manual for current authoring mechanics and limit-aware structure.
  • Launch-session / PYTHONPATH hygiene rule: never launch the TUI or an agent from a shell session that exports PYTHONPATH. A leftover PYTHONPATH pointing at another project's scratch/worktree/temp repo src shadows the venv's own lingtai import, and because the refresh watcher copies os.environ verbatim, the pollution survives refresh — a plain refresh re-inherits it. Debug sessions that export PYTHONPATH=... for one experiment silently infect every agent they launch. See reference/gotchas/SKILL.md ("PYTHONPATH pollution") and reference/runtime-self-check/SKILL.md §1 for the probe and §8 for the clean-relaunch recipe.

Read the full file on GitHub · 222 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. yesterday Changed · +5 lines 3efbd84021d8
  2. 4d ago Changed · -12 tokens per session 8e5a81e9e496
  3. 11d ago First seen · 217 lines · 92 tokens per session scan A e4601cd1df40

Subscribe to this mod's changes

lingtai-dev-guide is a skill published in the GitHub repository Lingtai-AI/lingtai (673 stars, last pushed today), licensed Apache-2.0. It adds 80 tokens to every session and 2,919 once invoked, about $0.0004 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 2026-08-30.

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