cladding-init

cladding-init is a skill for Claude Code, Codex from qwerfunch/cladding. It costs 54 tokens per session (649 once invoked), scanned A, original, MIT.

Contributor guidance for Claude Code when working on the kaijutsu project, with a pointer to the main AGENTS.md instructions.

In plain words
What is it for?
It helps Claude Code understand which instructions to read and how to avoid depending on unfinished features.
Why use it?
It keeps Claude Code aligned with the project’s canonical rules and warns against adding work beyond the current development stage.

Skill for Claude CodeCodex

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

Good fit It helps Claude Code understand which instructions to read and how to avoid depending on unfinished features.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/qwerfunch/cladding/cladding-init
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 qwerfunch/cladding --skill cladding-init
Clone the repo
git clone --depth 1 https://github.com/qwerfunch/cladding

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 cladding-init

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/qwerfunch/cladding/cladding-init"><img src="https://agentmods.dev/badge/skills/qwerfunch/cladding/cladding-init.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 649 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.
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 $0.00054 $0.00649
Opus 5.5 $0.00022 $0.00260
Sonnet 5.5 $0.00011 $0.00130
Haiku 4.5 $0.00005 $0.00065

Measured 1mo ago against content hash 6b4a9955697a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cladding-init 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 1mo 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/cladding-init/SKILL.md · 29 lines

How it starts

The opening of the file, as written. The whole thing — 29 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cladding init

Use this workflow only when the user explicitly asks to initialize, adopt, or refresh Cladding. Opening a repository alone is not consent to initialize it.

Required host workflow

If the current user message itself matches APPLY CLADDING XXXXXX, do not call prepare or stage again. Call clad_init once and copy the entire user message, including the APPLY CLADDING prefix, into confirmation.

  1. If a greenfield request has no project intent, ask for one short description.
  2. Call clad_prepare_init with exactly one starting mode:
    • idea with the user's description.
    • document with a project-relative planning-document path.
    • existing for an existing codebase; include an optional adoption goal.
  3. Read the returned prompt and observations. Draft the structured object required by clad_init using the current host model, then call clad_stage_init with the preparation token and that draft. Staging validates the draft and stores only ignored runtime state under .cladding/host/; it does not modify authored project files.
  4. Show plannedChanges, the staged confirmationQuestion, and its one-time approvalChallenge to the user, then stop and wait for a separate reply. The original initialization request is not confirmation.
  5. Only when the user's separate reply exactly matches approvalChallenge, call clad_init with the entire reply verbatim as confirmation—never strip the APPLY CLADDING prefix. Include the draft and token when the host retained them; process-per-turn hosts may omit both because Cladding resolves the exact staged draft from its short-lived machine-local cache. Questions, paraphrases, and generic acknowledgements are not approval.
  6. If nextQuestion is present, show it verbatim and end the assistant turn immediately. Never answer it, infer an answer, or call either clarify tool during the initialization-approval turn. Continue with the Cladding clarify workflow only after a new user message supplies the answer. If no question remains, report that ordinary development can begin.

Read the full file on GitHub · 29 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. 1mo ago First seen · 29 lines · 54 tokens per session scan A 6b4a9955697a

Subscribe to this mod's changes

cladding-init is a skill published in the GitHub repository qwerfunch/cladding (16 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 649 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 2026-08-30.

Related

Other skills, from other repositories

maintaining-windows-health

Hands-on playbook for Windows 11 disk cleanup, dev-machine optimization, and proactive health alerting. Use when the PC is full or slow, when a BSOD / Kernel-Power 41 / crash dump / commit-memory pressure happened, when the user asks to free disk space, audit storage, set up disk/memory alerts, or restore the same…

CodeAlive-AI/ai-driven-development · 191 tokens

prompt-engineering

Universal prompt engineering techniques for any LLM. Use when crafting, optimizing, or reviewing prompts for AI models. Triggers on requests like "improve this prompt", "write a system prompt", "optimize my instructions", "help me prompt engineer", "audit this prompt", "review my prompt", or when building agentic…

CodeAlive-AI/ai-driven-development · 76 tokens

installing-cli-tools

Install, upgrade, configure, and verify developer CLI tools safely. Use when a user asks to install a new CLI, command-line app, SDK tool, package-manager binary, GitHub release binary, language runtime tool, or AI/vendor CLI; configure shell PATH/completions; run first login; set API keys, tokens, or env variables…

CodeAlive-AI/ai-driven-development · 94 tokens

repo-activity-summary

Summarize a repository's recent engineering activity from git history — technologies, work types, churn hotspots, contributor patterns, and velocity. Use when asking "what has this repo been working on", "is this project active", "who contributes what", "where are the hotspots", or before onboarding onto an unfamiliar…

CodeAlive-AI/ai-driven-development · 70 tokens

clipboard

Copy text to clipboard with optional rich formatting. Triggers on "copy to clipboard", "copy that", "pbcopy", "copy formatted", "copy rich text".

CodeAlive-AI/ai-driven-development · 36 tokens

grok-cli

Delegate bounded tasks to Grok Build from a supervising agent such as Codex. Use when the user asks Grok to investigate, review, implement, or provide another perspective, or when a distinct coding agent would materially help. Includes a background ACP client for progress, follow-up prompts, permissions, and…

scarletkc/agents · 66 tokens