Kimi Code Delegation
CherryHQ/cherry-studio
Delegates one bounded repository task to Kimi Code in non-interactive prompt mode and reads back the final result from its JSON event stream.
Multi-agent orchestration enforcement for /team command. An agent skill from MadAppGang/claude-code.
Install Agent Enforcement
$ npx skills add MadAppGang/claude-code --skill agent-enforcement -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MadAppGang/claude-code agent-enforcement --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/MadAppGang/claude-code.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/multimodel/skills/agent-enforcement .claude/skills/agent-enforcement && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "agent-enforcement" agent skill from https://github.com/MadAppGang/claude-code/tree/main/plugins/multimodel/skills/agent-enforcement into .claude/skills/agent-enforcement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-enforcement", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/MadAppGang/claude-code/tree/main/plugins/multimodel/skills/agent-enforcementType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add MadAppGang/claude-code --skill agent-enforcement -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MadAppGang/claude-code agent-enforcement --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MadAppGang/claude-code.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/multimodel/skills/agent-enforcement .agents/skills/agent-enforcement && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-enforcement" agent skill from https://github.com/MadAppGang/claude-code/tree/main/plugins/multimodel/skills/agent-enforcement into .agents/skills/agent-enforcement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-enforcement", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add MadAppGang/claude-code --skill agent-enforcement -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MadAppGang/claude-code agent-enforcement --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MadAppGang/claude-code.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/multimodel/skills/agent-enforcement .cursor/skills/agent-enforcement && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agent-enforcement" agent skill from https://github.com/MadAppGang/claude-code/tree/main/plugins/multimodel/skills/agent-enforcement into .cursor/skills/agent-enforcement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-enforcement", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/MadAppGang/claude-code.git --path plugins/multimodel/skills/agent-enforcement--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add MadAppGang/claude-code --skill agent-enforcement -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MadAppGang/claude-code agent-enforcement --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MadAppGang/claude-code.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/multimodel/skills/agent-enforcement .gemini/skills/agent-enforcement && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "agent-enforcement" agent skill from https://github.com/MadAppGang/claude-code/tree/main/plugins/multimodel/skills/agent-enforcement into .gemini/skills/agent-enforcement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-enforcement", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install MadAppGang/claude-code agent-enforcementInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add MadAppGang/claude-code --skill agent-enforcement -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MadAppGang/claude-code.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/multimodel/skills/agent-enforcement .github/skills/agent-enforcement && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "agent-enforcement" agent skill from https://github.com/MadAppGang/claude-code/tree/main/plugins/multimodel/skills/agent-enforcement into .github/skills/agent-enforcement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-enforcement", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add MadAppGang/claude-code --skill agent-enforcement -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install MadAppGang/claude-code agent-enforcement --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MadAppGang/claude-code.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/multimodel/skills/agent-enforcement .opencode/skills/agent-enforcement && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agent-enforcement" agent skill from https://github.com/MadAppGang/claude-code/tree/main/plugins/multimodel/skills/agent-enforcement into .opencode/skills/agent-enforcement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-enforcement", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
agent-enforcement- GitHub stars
- 285
- Token cost
- ~895 tokens
- SKILL.md length
- 298 words
- Files
- 1
- Skills in repo
- 69
- Repo updated
- First seen
- Licence
- MIT
At a glance
Multi-agent orchestration enforcement for /team command. An agent skill from MadAppGang/claude-code.
- Works in 2 steps: PreToolUse hook… → Model upgrade (team.md: model: opus) —…
- Debugging /team orchestration failures
- SKILL.md covers Overview, How /team Invokes Models, Hook Rules… and Agent Selection for Task…, plus 3 more sections
- Calls bash
What it does
Agent Enforcement is an agent skill from MadAppGang/claude-code. Multi-agent orchestration enforcement for /team command. Provides claudish CLI validation, validates session directory paths, and ensures /team internal Tasks use dev:researcher. Use when debugging /team orchestration failures.
Its SKILL.md is about 900 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Multi-agent orchestration. It works with Bash. The repository describes itself as: claude code plugins marketplace. The licence is MIT.
When your agent uses it
- Debugging /team orchestration failures
- Tasks that involve Multi-agent orchestration
Example prompts
- “/agent-enforcement”
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- PreToolUse hook (hooks/enforce-team-rules.sh) — runtime violation blocker
- Model upgrade (team.md: model: opus) — better instruction following
What it can do on your machine
Read from SKILL.md and the folder at commit 6097ad4. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
bash
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Agent Enforcement loads about 895 tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 298 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from MadAppGang/claude-code at commit 6097ad4, republished under its MIT licence (© MadAppGang). 298 words, ~895 tokens.
Download SKILL.mdSave it as
.claude/skills/agent-enforcement/SKILL.md (or your agent's skills folder).- name
- agent-enforcement
- description
- Multi-agent orchestration enforcement for /team command. Provides claudish CLI validation, validates session directory paths, and ensures /team internal Tasks use dev:researcher. Use when debugging /team orchestration failures.
- triggers
- team enforcement, agent selection, orchestration failure, claudish agent flag
Agent Enforcement Skill
Overview
Two-layer defense against orchestration violations in /team:
- PreToolUse hook (
hooks/enforce-team-rules.sh) — runtime violation blocker - Model upgrade (
team.md: model: opus) — better instruction following
How /team Invokes Models
| Model Type | Method | Tool | Reliability |
|---|---|---|---|
| Internal (Claude) | Task(dev:researcher) | Task tool | High (same process) |
| External (Grok, Gemini, etc.) | Bash(claudish --model) | Bash tool | 100% (deterministic CLI) |
External models are called via claudish CLI directly from Bash — no LLM delegation needed.
Hook Rules (enforce-team-rules.sh)
The PreToolUse hook intercepts Task and Bash tool calls at runtime:
| Rule | Condition | Action |
|---|---|---|
| 1 | /team Task with wrong agent | DENY (must be dev:researcher) |
| 2 | /tmp/ in Task prompt | DENY |
Layer 1: PreToolUse Hook
Detects /team workflows by vote template pattern in Task prompts. Blocks:
- Wrong agent for /team Tasks: Only
dev:researcheris allowed for internal model Tasks - Insecure paths: No
/tmp/paths in Task prompts (useai-docs/sessions/)
Layer 2: model: opus
The /team command uses model: opus (Opus 4.6) which follows complex XML instructions
much more reliably than Sonnet (~90% vs ~33% compliance).
Agent Selection for Task Delegation
| Task Type | Primary Agent | Alternatives |
|---|---|---|
| Investigation | dev:researcher | dev:debugger |
| Review | agentdev:reviewer | frontend:reviewer |
| Architecture | dev:architect | frontend:architect, agentdev:architect |
| Implementation | dev:developer | frontend:developer, agentdev:developer |
| Testing | dev:test-architect | frontend:test-architect |
| DevOps | dev:devops | — |
| UI/Design | dev:ui | frontend:designer, frontend:ui-developer |
Pre-processor (resolve-agents.sh)
The /team command can optionally call resolve-agents.sh to determine agent and method
for each model before launching:
bash "${CLAUDE_PLUGIN_ROOT}/scripts/resolve-agents.sh" \
--models "internal,x-ai/grok-code-fast-1" \
--task-type "investigation"Output:
{
"sessionDir": "ai-docs/sessions/team-slug-timestamp-random",
"taskType": "investigation",
"resolutions": [
{ "modelId": "internal", "method": "direct", "agent": "dev:researcher" },
{ "modelId": "x-ai/grok-code-fast-1", "method": "cli", "agent": "dev:researcher" }
]
}Methods:
"direct"— Internal Claude via Task(agent)"cli"— External model via Bash(claudish --model)
Validation
Run the test suite to verify enforcement:
cd autotest/team && bash run-tests.shTroubleshooting
Hook blocking legitimate calls: The hook triggers on /team vote template patterns in Task prompts and claudish in Bash commands. Normal Task usage (without vote templates) is never affected.
resolve-agents.sh not found:
The /team command uses its own built-in logic. The hook still provides runtime protection.
Hook behavior:
The hook skips existence checks (which claudish, command -v claudish).
© MadAppGang, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in plugins/multimodel/skills/agent-enforcement of MadAppGang/claude-code.
Open the folder on GitHubat commit 6097ad4
Compare with similar skills
Agent Enforcement next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Agent Enforcement this skillMadAppGang/claude-code | 285 | — | ~895 | Automated safety check: Pass | MIT | |
| Kimi Code DelegationCherryHQ/cherry-studio | 53k | — | ~504 | Automated safety check: Pass | AGPL-3.0 | |
| Agentlas Core Engine Meta Agentagentlas-ai/Agentlas-OS | 1.6k | — | ~467 | Automated safety check: Pass | Apache-2.0 | |
| Benchmark Agentsvercel/vercel-plugin | 301 | — | ~3.6k | Automated safety check: Pass | Custom licence | |
| Cc GodmodeLeoYeAI/openclaw-master-skills | 2.2k | — | ~5k | Automated safety check: Pass | MIT | |
| Orca CLIstablyai/orca | 89k | 2 repos | ~593 | Automated safety check: Pass | MIT |
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Questions about Agent Enforcement
What does Agent Enforcement do?
Multi-agent orchestration enforcement for /team command. An agent skill from MadAppGang/claude-code. Agent Enforcement is an agent skill from MadAppGang/claude-code. Multi-agent orchestration enforcement for /team command.
When should I use Agent Enforcement?
Agent Enforcement fits situations like: debugging /team orchestration failures; tasks that involve Multi-agent orchestration.
How do I install Agent Enforcement in Claude Code?
Run `npx skills add MadAppGang/claude-code --skill agent-enforcement -a claude-code`. Or copy the skill folder (plugins/multimodel/skills/agent-enforcement in MadAppGang/claude-code) into .claude/skills/agent-enforcement in your project. Claude Code loads it when a task matches its description.
How do I install Agent Enforcement in Codex?
Run `npx skills add MadAppGang/claude-code --skill agent-enforcement -a codex`. Or copy the skill folder (plugins/multimodel/skills/agent-enforcement in MadAppGang/claude-code) into .agents/skills/agent-enforcement in your project. Codex loads it when a task matches its description.
Can I use Agent Enforcement in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add MadAppGang/claude-code --skill agent-enforcement -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-enforcement, .gemini/skills/agent-enforcement, .github/skills/agent-enforcement and .opencode/skills/agent-enforcement in your project.
What does Agent Enforcement need to run?
Going by SKILL.md and its folder, Agent Enforcement needs the command-line tools its instructions call (bash).
Does Agent Enforcement access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Agent Enforcement safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Agent Enforcement use?
Agent Enforcement is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Agent Enforcement use?
About 895 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Agent Enforcement?
Skills that share tags, products or a category with Agent Enforcement: Kimi Code Delegation (CherryHQ/cherry-studio, 53k stars), Agentlas Core Engine Meta Agent (agentlas-ai/Agentlas-OS, 1.6k stars), Benchmark Agents (vercel/vercel-plugin, 301 stars) and Cc Godmode (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agent Enforcement?
MadAppGang (a GitHub organization) maintains it in MadAppGang/claude-code, which has 285 GitHub stars. The repository holds 69 skills in this directory. The repository was last updated on March 15, 2026.
Source: MadAppGang/claude-code on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.