Control

Q: 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.

Q: How do I install Control in TypingMind?

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

Q: 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.

Q: 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.

Q: 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.

Q: 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.

Q: 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.

Organization

ww-w-ai

control

View and change bkit automation settings. Shows current automation level, feature flags, trust score, and guardrail configuration. Use proactively when user asks about automation settings, trust level, or guardrails. Triggers: control, automation, settings, level, guardrail, trust, 제어, 자동화, 설정, 레벨, 가드레일, 신뢰도, 制御, 自動化, 設定, レベル, ガードレール, 控制, 自动化, 设置, 级别, 护栏, control, automatización, configuración, nivel, contrôle, automatisation, paramètres, niveau, Kontrolle, Automatisierung, Einstellungen, Stufe, controllo, automazione, impostazioni, livello Do NOT use for: deployment (use /deploy), code changes

Overview

Publisher	ww-w-ai
Repository	`bkit-gemini`
Skill name	`control`
Stars	66
Forks	16
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-gemini.git /tmp/bkit-gemini
mkdir -p .claude/skills
cp -r /tmp/bkit-gemini/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

View and manage bkit automation levels and guardrail settings

Commands

Command	Description	Example
`/control status`	Show current automation state	`/control status`
`/control level L0`	Set automation to manual	`/control level L0`
`/control level L1`	Set automation to semi-auto	`/control level L1`
`/control level L2`	Set automation to auto-confirm	`/control level L2`
`/control level L3`	Set automation to full-auto (read-only)	`/control level L3`
`/control level L4`	Set automation to autonomous	`/control level L4`
`/control stop`	Emergency stop (immediate L0 + halt)	`/control stop`
`/control rollback`	Rollback last N decisions	`/control rollback 5`

Automation Levels (v2.0.7+ L3/L4 unlocked via bkit hook automation channel)

Level	Name	Behavior
L0	Manual	Agent asks before every action. No automatic file writes. Emergency-stop default.
L1	Semi-Auto	Agent executes known-safe operations. Asks for destructive actions.
L2	Auto-Confirm	Agent executes all operations. Confirms only for irreversible actions. Default for new bkit projects.
L3	Full-Auto	Read-only tools (Read/Glob/Grep/list_directory/web_fetch) auto-allowed via bkit before-tool hook. Destructive ops always asked. Requires `trustScore >= 60`.
L4	Autonomous	All non-destructive tools auto-allowed. PDCA phase transitions automatic (via before-phase hook). Destructive ops always hard-denied (D6, 16 patterns matrix). Requires `trustScore >= 80 + no recent rejections + no active 24h cooldown`.

Hard Deny (영구 차단, L4 무관)

다음 16 destructive 패턴은 어떤 level에서도 항상 차단됩니다 (cmd-parser AST 분석): rm -rf, git push --force, drop table, truncate, delete from (no WHERE), sudo, chmod 777, /etc/* write, ~/.ssh/* write, gpg --delete-key, .env write, id_rsa* / *.pem / *.p12 write/delete, npm publish --force, git config --unset credential.*, rm .git, drop database.

Auto-Downgrade (안전망)

5 consecutive rejections → L4/L3 → L2 + 24h cooldown
Hard deny detected (destructive op) → L4 → L3 (no cooldown)
Emergency stop (Ctrl+C 2회 또는 /control stop) → 즉시 L0

Gemini CLI 호환성 (v2.0.7 Wave 0 RCA로 입증)

Non-interactive gemini -p 모드: 'allow' decision suppress 정상 작동 ✓
Interactive mode: CC issue #52822와 유사 가능성, Track B PR 검증 중
모든 결정은 .bkit/state/audit/{date}/decisions.jsonl에 영구 기록 (90d retention)

How to Execute

Show Status

Read .bkit/config.json for current settings
Display:
- Current automation level (L0-L2)
- Active feature flags
- Trust score (if tracked)
- Hook configuration summary
- Guardrail rules in effect

Change Level

Read .bkit/config.json
Validate the requested level (L0, L1, or L2 only)
Update the automationLevel field
Write back to .bkit/config.json using write_file
Confirm the change and explain what it means

Configuration File

Settings are stored in .bkit/config.json:

json
{
  "automationLevel": "L1",
  "features": {
    "auditLog": true,
    "checkpointOnDeploy": true,
    "autoIterate": false,
    "maxIterations": 5
  },
  "guardrails": {
    "denyPatterns": [".env", "credentials", "secret"],
    "maxFileSize": 10000,
    "requireCheckpoint": true
  }
}

Feature Flags

Flag	Default	Description
`auditLog`	`true`	Enable audit trail logging
`checkpointOnDeploy`	`true`	Auto-create checkpoint before deploy
`autoIterate`	`false`	Auto-run iterate when match rate < 90%
`maxIterations`	`5`	Maximum PDCA iteration cycles

Guardrail Rules

Guardrails are enforced by Extension hooks (before-model, before-agent):

File deny patterns: Block writes to sensitive files
Max file size: Prevent accidentally large file writes
Checkpoint requirement: Require checkpoint before destructive operations
Review requirement: Require human review for production changes

Output Format

markdown
## bkit Control Status

| Setting | Value |
|---------|-------|
| Automation Level | L1 (Semi-Auto) |
| Audit Logging | Enabled |
| Checkpoint on Deploy | Enabled |
| Auto-Iterate | Disabled |
| Max Iterations | 5 |

### Active Guardrails
- File deny patterns: .env, credentials, secret
- Max file size: 10,000 lines
- Checkpoint required: Yes

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-gemini/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

Ask Matt

mattpocock

CommunityPopular

Ask which skill or flow fits your situation. A router over the skills in this repo.

Code Review

Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what…

Codebase Design

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or…

Diagnosing Bugs

Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Control Skill

Commands

Automation Levels (v2.0.7+ L3/L4 unlocked via bkit hook automation channel)

Hard Deny (영구 차단, L4 무관)

Auto-Downgrade (안전망)

Gemini CLI 호환성 (v2.0.7 Wave 0 RCA로 입증)

How to Execute

Show Status

Change Level

Configuration File

Feature Flags

Guardrail Rules

Output Format

Frequently asked questions

Related AI Skills

Set up your own AI workspace now