Control

Organization

ww-w-ai

control

Control bkit automation level (L0-L4), view trust score, and manage guardrails. Trust level directly drives SPRINT_AUTORUN_SCOPE (v2.1.13): L0 manual+stopAfter=prd, L4 full-auto+stopAfter=archived. Also gates PDCA phase transitions and destructive operations. Triggers: control, automation level, trust score, guardrail

Overview

Publisher	ww-w-ai
Repository	`bkit-claude-code`
Skill name	`control`
Stars	601
Forks	154
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

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 ww-w-ai on GitHub. Read the source before you install it.

Installation

Install the Control 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.
Enable the skill in any chat where you want it available.

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/ww-w-ai/bkit-claude-code.git /tmp/bkit-claude-code
mkdir -p .claude/skills
cp -r /tmp/bkit-claude-code/skills/control .claude/skills/control

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

Use it in TypingMind

Enable Control 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 Control 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 Control 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.

Control Skill

User-invocable skill for managing bkit automation level and system status.

Arguments

Argument	Description	Example
(none)	Show current status (same as `status`)	`/control`
`status`	Show automation level, trust score, guardrails	`/control status`
`level <0-4>`	Set automation level manually	`/control level 2`
`pause`	Pause all automation (equivalent to L0)	`/control pause`
`resume`	Resume to previous automation level	`/control resume`
`trust`	Show trust score details and history	`/control trust`

Automation Levels

Level	Name	Description	Approval Gates
L0	Manual	All actions require explicit user approval	Every phase transition
L1	Guided	Suggestions provided, user confirms each step	Every phase transition
L2	Semi-Auto	Routine transitions auto, key decisions gated	do->check, check->report, report->archive
L3	Auto	Most transitions auto, only destructive ops gated	report->archive
L4	Full-Auto	Fully automated PDCA cycle, minimal intervention	Initial feature approval only

Action Details

status (Default)

Display the current automation control state.

Read runtime control state from .bkit/runtime/control-state.json
Read trust score from .bkit/state/trust-score.json
Read active guardrails from lib/control/ configuration
Display formatted status panel

Output Format:


--- bkit Control Panel ----------------------------
Automation Level : L2 (Semi-Auto)
Trust Score      : 72/100
Active Guardrails: 8/8
Paused           : No
Features Active  : 2/3
---------------------------------------------------
Guardrails:
  [ON] Destructive operation detection
  [ON] Blast radius limiter (max 10 files)
  [ON] Loop breaker (max 5 iterations)
  [ON] Checkpoint auto-creation
  [ON] Permission escalation gate
  [ON] Stale feature timeout (7d)
  [ON] Context overflow protection
  [ON] Concurrent write lock
---------------------------------------------------

level <0-4>

Set the automation level manually.

Validate input is a number 0-4
Read current level from .bkit/runtime/control-state.json
If escalating (going higher), warn user about reduced oversight
If de-escalating, apply immediately without confirmation
Update .bkit/runtime/control-state.json with new level
Write audit log entry via lib/audit/audit-logger.js
Display confirmation with new level details

Escalation Rule: Level increases require explicit confirmation via AskUserQuestion. Level decreases are immediate (safe direction).

Level Mapping to Automation:

Level	automationLevel	Description
L0	manual	All manual
L1	guide	Guided suggestions
L2	semi-auto	Semi-automatic (default)
L3	auto	Mostly automatic
L4	full-auto	Fully automatic

pause

Pause all automation immediately.

Save current level to .bkit/runtime/control-state.json as previousLevel
Set level to L0 (Manual)
Set paused: true flag
Write audit log: automation_paused
Display confirmation: "Automation paused. All operations require manual approval."

resume

Resume automation to the previous level before pause.

Read previousLevel from .bkit/runtime/control-state.json
If not paused, display: "Automation is not paused."
Restore level to previousLevel
Clear paused flag
Write audit log: automation_resumed
Display confirmation with restored level

trust

Show trust score details and contributing factors.

Read trust score from .bkit/state/trust-score.json
Calculate score breakdown:
- PDCA completion rate (0-25 points)
- Match rate average (0-25 points)
- Error recovery rate (0-20 points)
- Session stability (0-15 points)
- User override frequency (0-15 points, inverse)
Display detailed breakdown

Output Format:


--- Trust Score Details ---------------------------
Overall Score: 72/100

Breakdown:
  PDCA Completion Rate  : 18/25  (72% cycles completed)
  Match Rate Average    : 22/25  (88% average)
  Error Recovery Rate   : 14/20  (70% recovered)
  Session Stability     : 12/15  (80% stable)
  User Override Freq    :  6/15  (40% override rate)
---------------------------------------------------
Level Recommendation: L2 (Semi-Auto)
  Score 0-30  -> L0 (Manual)
  Score 31-50 -> L1 (Guided)
  Score 51-70 -> L2 (Semi-Auto)
  Score 71-85 -> L3 (Auto)
  Score 86+   -> L4 (Full-Auto)
---------------------------------------------------

State Files

File	Purpose
`.bkit/runtime/control-state.json`	Runtime control state (level, paused, previousLevel)
`.bkit/state/trust-score.json`	Trust score and contributing metrics

Module Dependencies

Module	Function	Usage
`lib/control/automation-controller.js`	`getLevel()`, `setLevel()`	Read/write automation level
`lib/control/automation-controller.js`	`pause()`, `resume()`	Pause/resume automation
`lib/audit/audit-logger.js`	`writeAuditLog()`	Record control changes

Usage Examples

bash
# Check current status
/control

# Set to Semi-Auto
/control level 2

# Pause all automation
/control pause

# Resume previous level
/control resume

# View trust score
/control trust

Frequently asked questions

What does the Control AI skill do?

Why use Control on TypingMind?

Because you install it once and use it with any model. Control 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 Control in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ww-w-ai/bkit-claude-code/tree/main/skills/control. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Control?

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 Control?

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

Is the Control AI skill free?

Yes. It is published on GitHub by ww-w-ai under the Apache-2.0 license. 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.

View all

Caveman Help

JuliusBrussee

CommunityPopular

Quick-reference card for caveman modes, skills and commands. Trigger: /caveman-help or "caveman help".

Full Output Enforcement

Leonxlnx

CommunityPopular

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged…

Mineru

Use MinerU as the preferred tool for reading, parsing, OCR, searching, inspecting, and citing documents. Support parsing PDF, scanned/captured document images, .doc/.docx, .ppt/.pptx, .xls/.xlsx,…

Api2pdf Automation

Automate Api2pdf tasks via Rube MCP (Composio). Always search tools first for current schemas.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Control Skill

Arguments

Automation Levels

Action Details

status (Default)

level <0-4>

pause

resume

trust

State Files

Module Dependencies

Usage Examples

Frequently asked questions

Related AI Skills

Set up your own AI workspace now