MEMORY/ARCHIVE/skills-deprecated/mcp-smoke/SKILL.md
<!-- CONTENT_HASH: 3500ba9ad1d99cf179c71ea71d756c5d30401724592a3accda58abb61a45d26f --> **required_canon_version:** >=3.0.0 # Skill: mcp-smoke **Version:** 0.1.0 **Status:** Deprecated > **DEPRECATED:** This skill has been consolidated into `mcp-toolkit`. > Use `{"operation": "smoke", ...}` with the mcp-toolkit instead. ## Trigger Use when asked to verify that the AGS MCP server is runnable (stdio mode) and to perform a quick smoke test. ## Inputs - `input.json` with: - `entrypoint
npx skillsauth add reneromero08/agent-governance-system MEMORY/ARCHIVE/skills-deprecated/mcp-smokeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
required_canon_version: >=3.0.0
Version: 0.1.0
Status: Deprecated
DEPRECATED: This skill has been consolidated into
mcp-toolkit. Use{"operation": "smoke", ...}with the mcp-toolkit instead.
Use when asked to verify that the AGS MCP server is runnable (stdio mode) and to perform a quick smoke test.
input.json with:
entrypoint_substring (string, optional): Relative path to the MCP entrypoint.args (array, optional): Arguments to pass to the entrypoint (default: ["--test"]).bridge_smoke (object, optional):
enabled (boolean): If true, call the local terminal bridge after the server check.command (string, optional): Command to execute via the bridge.cwd (string, optional): Working directory for the bridge command.timeout_seconds (integer, optional): Bridge request timeout (default: 30).actual.json with:
ok (boolean)returncode (number)entrypoint (string, relative path)args (array)bridge_smoke (object):
enabled (boolean)ok (boolean)exit_code (number, optional)error (string, optional)CORTEX/query.py for file discovery checks.fixtures/basic/required_canon_version: >=3.0.0
development
<!-- CONTENT_HASH: b22de257a144f83b390075074e3d6a4552ecbc1ec53fc5d4960c6e76dc9807dd --> # Skill: swarm-orchestrator **Version:** 0.1.0 **Status:** Active **required_canon_version:** ">=3.0.0 <4.0.0" **canon_version:** "3.0.0" # Swarm Orchestrator Launches and coordinates Governor + Ant Workers. ## Usage ```bash # Launch Governor python scripts/poll_and_execute.py --role Governor # Launch Ant Workers python scripts/poll_and_execute.py --role Ant-1 python scripts/poll_and_execute.py --role A
tools
<!-- CONTENT_HASH: 9bd07a4ed03d6eea49673a43682a62ca7df8b0cabb7ff424ac91cd35e9e7bea7 --> # Skill: swarm-directive **Version:** 0.1.0 **Status:** Draft **required_canon_version:** ">=2.8.0 <3.0.0" # Swarm Directive Skill Send tasks to your CATALYTIC-DPT swarm from Claude Code, Kilo CLI, or Cline CLI. ## Quick Start ### Option 1: Direct CLI Command (Simplest) ```bash cd "d:\CCC 2.0\AI\agent-governance-system" # Create input cat > /tmp/swarm_task.json << 'EOF' { "directive": "Analyze the
tools
<!-- CONTENT_HASH: 0f69dfe537f3e6cd8b1fdb353c9ab7c031ef8b08379fde8a98c137bb604d799d --> # Qwen CLI - Local AI Assistant **Version:** 1.0.0 **Status:** Active **Required_Canon_Version:** >=2.0.0 **Purpose**: Provides a local CLI interface to Qwen 7B via Ollama for fast, offline AI assistance. **Model**: Qwen2.5 7B (via Ollama) **Use Cases**: - Quick code questions without cloud API costs - Offline development assistance - Fast prototyping and testing - Private/sensitive code analysis ## F
development
<!-- CONTENT_HASH: 7b643dca3adc4d38de7030cb1e962a5130ea4b36ae04ad4bf97ed8889de2a3dc --> # Skill: governor **Version:** 0.1.0 **Status:** Active **required_canon_version:** ">=3.0.0 <4.0.0" **canon_version:** "3.0.0" # Governor The Conductor - analyzes, decomposes, and dispatches tasks to Ant Workers. ## Usage ```bash python scripts/run.py input.json output.json ``` ## Input Schema ```json { "gemini_prompt": "Analyze D:/path/to/files and summarize", "task_id": "analyze-001", "command