abilashraghuram/cintegrity-secure-tool-execution
cintegrity/skill-plugin/SKILL.md
Use when search_tools, execute_tool, or execute_workflow tools are available. For multi-step operations, use execute_workflow with proper imports.
tools
Updated Mar 27, 2026
$ install --global
skillsauthnpx skillsauth add abilashraghuram/arrakis cintegrity-secure-tool-executionInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Mar 30, 2026, 7:48 PM56.8s1 file scanned
SKILL.md
- name:
- cintegrity-secure-tool-execution
- description:
- Use when search_tools, execute_tool, or execute_workflow tools are available. For multi-step operations, use execute_workflow with proper imports.
cintegrity Tool Execution
Available Tools
search_tools(query)- Find tools and their schemasexecute_tool(tool_name, args)- Execute single toolexecute_workflow(planner_code)- Execute Python workflow
Workflow Structure
from cintegrity.mcp_tools.<server> import <tool_name>
async def workflow():
result = await <tool_name>(arg=value)
return result
Rules
- Entry point:
async def workflow(): - Use
awaitfor tool calls - Keyword arguments:
tool(arg=value) - Tools return values directly
Return Value Handling
Scalars (int, str, bool): Assign directly to variables
count = await add(a=10, b=5) # Returns: 15
total = await multiply(a=count, b=2) # Returns: 30
Objects (dict): Access fields by name
user = await get_user(id=123) # Returns: {"name": "Alice", "age": 30}
name = user["name"]
age = user["age"]
User Input: Request values with elicit()
c = await elicit(message="Enter value:", response_type=int) # Returns: 42
result = await compute(a=10, b=c)
Complete Example
from cintegrity.mcp_tools.database import get_user, update_score
async def workflow():
# Get user data (returns dict)
user = await get_user(user_id=123)
current_score = user["score"]
# Request bonus points
bonus = await elicit(message="Enter bonus points:", response_type=int)
# Calculate new score (scalar)
new_score = await update_score(user_id=123, score=current_score + bonus)
return {"user": user["name"], "new_score": new_score}
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