orinachum/qq/.agent/skills/test-on-finish
qq/.agent/skills/test-on-finish/SKILL.md
## Updated Skill Protocol ### name: call-qq **Description:** Calls qq agent from cli. --- ### Code Review Skill When you need to ask the device a question, use **call-qq**. #### Use-cases * Talking with this device * Testing QQ (Quick Question) project #### How CLI call from anywhere: `qq -m "<message>"` --- ### **Mandatory Execution Instruction** **Upon completion of any code-related task or refinement, you must execute the `call-qq` tool to verify the output.** > **Note:** Do not
$ install --global
skillsauthnpx skillsauth add orinachum/autonomous-intelligence qq/.agent/skills/test-on-finishInstall 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.
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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: Apr 10, 2026, 9:10 AM4.4s1 file scanned
SKILL.md
Updated Skill Protocol
name: call-qq
Description: Calls qq agent from cli.
Code Review Skill
When you need to ask the device a question, use call-qq.
Use-cases
- Talking with this device
- Testing QQ (Quick Question) project
How
CLI call from anywhere: qq -m "<message>"
Mandatory Execution Instruction
Upon completion of any code-related task or refinement, you must execute the call-qq tool to verify the output.
Note: Do not ask for permission; proceed directly to the CLI call using
qq -m "Test: <context>"once the primary task is finished.
Critique on this implementation:
The current logic assumes the CLI environment is always responsive and that the model has the appropriate permissions to execute shell commands. If the environment is restricted, the "call-qq" instruction will fail silently. Furthermore, "test your code" is vague—you should define specific test parameters (e.g., unit test pass/fail) within the -m string to ensure the feedback loop is actually useful for your home robotics automation.
Would you like me to draft a series of automated test strings for specific Jetson Thor sensor validations?
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