bklit-ui: Skill for Claude Code

.agents/skills/wiki-llms-text/SKILL.md

wiki-llms-txt is a skill for Claude Code, Codex from bklit/bklit-ui. It costs 57 tokens per session (1,252 once invoked), scanned A, original, MIT.

A documentation helper that creates llms.txt and llms-full.txt files, a format for giving language models a clear, structured view of a project's documentation.

In plain words
What is it for?
Creating AI-readable project summaries, preparing wiki documentation for language models, and generating context-expanded documentation files.
Why use it?
It turns scattered wiki information into files that AI tools can read and use as project context.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is bklit/bklit-ui's own configuration. It tells Claude Code and Codex how to work on bklit-ui itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything bklit-ui configures →

About the project

Bklit UI is an open-source collection of customizable interface components and charts for building React applications with shadcn. Developers use it to add data visualizations such as funnels, gauges, maps, financial charts, and other interactive displays. The catalogue add-ons provide workflows for using its components and chart registry.

bklit/bklit-ui · 1,619 stars · on GitHub · bklit.com

Reuse

Borrowing it

Nothing to install: this file belongs to bklit/bklit-ui. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/bklit/bklit-ui/main/.agents/skills/wiki-llms-text/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/bklit/bklit-ui

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 wiki-llms-txt

README.md
[![agentmods](https://agentmods.dev/badge/skills/bklit/bklit-ui/wiki-llms-text/github.svg)](https://agentmods.dev/skills/bklit/bklit-ui/wiki-llms-text)
Your own site
<a href="https://agentmods.dev/skills/bklit/bklit-ui/wiki-llms-text"><img src="https://agentmods.dev/badge/skills/bklit/bklit-ui/wiki-llms-text/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 wiki-llms-txt

Your own site · 80×15
<a href="https://agentmods.dev/skills/bklit/bklit-ui/wiki-llms-text"><img src="https://agentmods.dev/badge/skills/bklit/bklit-ui/wiki-llms-text.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,252 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 $0.00057 $0.01252
Opus 5 $0.00028 $0.00626
Sonnet 5 $0.00011 $0.00250
Haiku 4.5 $0.00006 $0.00125

Measured 9d ago against content hash c6c9d2b3c938, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

wiki-llms-txt 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 9d 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.

.agents/skills/wiki-llms-text/SKILL.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

llms.txt Generator

Generate llms.txt and llms-full.txt files that provide LLM-friendly access to wiki documentation, following the llms.txt specification.

When This Skill Activates

  • User asks to generate llms.txt or mentions the llms.txt standard
  • User wants to make documentation "LLM-friendly" or "LLM-readable"
  • User asks for a project summary file for language models
  • User mentions llms-full.txt or context-expanded documentation

Source Repository Resolution (MUST DO FIRST)

Before generating, resolve the source repository context:

  1. Check for git remote: Run git remote get-url origin
  2. Ask the user: "Is this a local-only repository, or do you have a source repository URL?"
    • Remote URL → store as REPO_URL
    • Local → use relative paths only
  3. Determine default branch: Run git rev-parse --abbrev-ref HEAD
  4. Do NOT proceed until resolved

llms.txt Format (Spec-Compliant)

The file follows the llms.txt specification:

# {Project Name}

> {Dense one-paragraph summary — what it does, who it's for, key technologies}

{Important context paragraphs — constraints, architectural philosophy, non-obvious things}

## {Section Name}

- [{Page Title}]({relative-path-to-md}): {One-sentence description of what the reader will learn}

## Optional

- [{Page Title}]({relative-path-to-md}): {Description — these can be skipped for shorter context}

Key Rules

  1. H1 — Project name (exactly one, required)
  2. Blockquote — Dense, specific summary (required). Must be unique to THIS project.
  3. Context paragraphs — Non-obvious constraints, things LLMs would get wrong without being told
  4. H2 sections — Organized by topic, each with a list of [Title](url): Description entries
  5. "Optional" H2 — Special meaning: links here can be skipped for shorter context
  6. Relative links — All paths relative to wiki directory
  7. Dynamic — ALL content derived from actual wiki pages, not templates
  8. Section order — Most important first: Onboarding → Architecture → Getting Started → Deep Dive → Optional

Read the full file on GitHub · 129 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. 9d ago First seen · 129 lines · 57 tokens per session scan A c6c9d2b3c938

Subscribe to this mod's changes

wiki-llms-txt is a skill published in the GitHub repository bklit/bklit-ui (1,619 stars, last pushed 1mo ago), licensed MIT. It adds 57 tokens to every session and 1,252 once invoked, about $0.0003 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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