Wal Status

Organization

vibevm

wal-status

Read the project WAL end to end and emit a ten-line orientation — current phase, attention items, next step — warning first when the WAL is stale. Use at session start or whenever the user asks where things stand.

Overview

Publisher	vibevm
Repository	`vibevm`
Skill name	`wal-status`
Stars	285
Forks	83
Bundled files	Instructions only
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by vibevm on GitHub. Read the source before you install it.

Installation

Install the Wal Status AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/vibevm/vibevm/tree/main/vibevm/vibedeps/org.vibevm.fractality.delegation-rules/1.0.0/vibevm/vibedeps/org.vibevm.world.wal/1.0.0/vibevm/vibespecs/skills/wal-status
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/vibevm/vibevm/tree/main/vibevm/vibedeps/org.vibevm.fractality.delegation-rules/1.0.0/vibevm/vibedeps/org.vibevm.world.wal/1.0.0/vibevm/vibespecs/skills/wal-status

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/vibevm/vibevm.git /tmp/vibevm
mkdir -p .claude/skills
cp -r /tmp/vibevm/vibevm/vibedeps/org.vibevm.fractality.delegation-rules/1.0.0/vibevm/vibedeps/org.vibevm.world.wal/1.0.0/vibevm/vibespecs/skills/wal-status .claude/skills/wal-status

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wal Status in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Wal Status on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Wal Status is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

WAL status — the ten-line orientation {#root}

@fact:PRODUCING-THE-FAST-MORNING-READ You are producing the fast morning read of the project WAL — the skim form of the ritual in spec/flows/wal/morning-routine.md. @status:impl/done

Procedure {#procedure}

@fact:READ-THE-WAL-END-TO-END Read spec/WAL.md end to end. If the file does not exist, say so, point at spec/flows/wal/WAL-PROTOCOL.md, and stop. @status:impl/done
@fact:STALENESS-WARNING-IS-THE-FIRST-OUTPUT-LINE Check the _Updated: line (the first line after the title). Older than 24 hours? The warning is your FIRST output line: WARNING: WAL updated <N> hours ago — may be stale. @status:impl/done
@fact:FLAG-A-CONTINUE-DIVERGENCE-AND-TREAT-THE-WAL-AS-CANONICAL If CONTINUE.md exists at the repository root and disagrees with the WAL on phase, blockers, or next step, flag the divergence and treat the WAL as canonical. @status:impl/done

Output — at most ten lines {#output}

@fact:OUTPUT-ONE-LINE-CURRENT-PHASE One line: current phase and its status. @status:impl/done
@fact:OUTPUT-UP-TO-THREE-ATTENTION-BULLETS Up to three bullets: what needs attention (blockers, risks, pending decisions). @status:impl/done
@fact:OUTPUT-ONE-LINE-NEXT-PRIORITY-STEP One line: the next priority step. @status:impl/done

@fact:example-shape-lead Example shape: @status:impl/done


WARNING: WAL updated 26 hours ago — may be stale.

Phase: PROP-003 verification engine, ~70% done

Needs attention:
- reconcile_pending() is a stub, blocked by issue #12
- media_refs protobuf schema (#15) — needed before PROP-004

Next step: resolve #12, or start PROP-004 in parallel.

@fact:REPORT-ONLY-DO-NOT-EDIT-OR-EXECUTE Report only: do not edit the WAL, and do not start the next step. @status:impl/done

Frequently asked questions

What does the Wal Status AI skill do?

Why use Wal Status on TypingMind?

Because you install it once and use it with any model. Wal Status is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Wal Status in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vibevm/vibevm/tree/main/vibevm/vibedeps/org.vibevm.fractality.delegation-rules/1.0.0/vibevm/vibedeps/org.vibevm.world.wal/1.0.0/vibevm/vibespecs/skills/wal-status. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Wal Status?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Wal Status?

As many as you like. As long as a model supports skills, you can use Wal Status with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Wal Status AI skill free?

It is published on GitHub by vibevm. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

WAL status — the ten-line orientation {#root}

Procedure {#procedure}

Output — at most ten lines {#output}

Frequently asked questions

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