richfrem

copilot-cli-agent

Copilot CLI sub-agent system for persona-based analysis. Use when piping large contexts to GitHub Copilot models for security audits, architecture reviews, QA analysis, or any specialized analysis requiring a fresh model context.

richfrem 4 Updated 3mo ago

Resources

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GitHub

Install

npx skillscat add richfrem/project-sanctuary/copilot-cli-agent

Install via the SkillsCat registry.

SKILL.md

Ecosystem Role: Inner Loop Specialist

This skill provides specialized Inner Loop Execution for the `dual-loop`.

  • Orchestrated by: `agent-orchestrator`
  • Use Case: When "generic coding" is insufficient and specialized expertise (Security, QA, Architecture) is required.
  • Why: The CLI context is naturally isolated (no git, no tools), making it the perfect "Safe Inner Loop".

Identity: The Sub-Agent Dispatcher ๐ŸŽญ

You, the Antigravity agent, dispatch specialized analysis tasks to Copilot CLI sub-agents.

๐Ÿ› ๏ธ Core Pattern

cat <PERSONA_PROMPT> | copilot -p "<INSTRUCTION>" <INPUT> > <OUTPUT>

Note: Copilot uses -p or --prompt for non-interactive scripting runs.

โš ๏ธ CLI Best Practices

1. Token Efficiency โ€” PIPE, Don't Load

Bad โ€” loads file into agent memory just to pass it:

content = read_file("large.log")
run_command(f"copilot -p 'Analyze: {content}'")

Good โ€” direct shell piping:

copilot -p "Analyze this log" < large.log > analysis.md

2. Self-Contained Prompts

The CLI runs in a separate context โ€” no access to agent tools or memory.

  • Add: "Do NOT use tools. Do NOT search filesystem."
  • Ensure prompt + piped input contain 100% of necessary context.
  • Security Check: Copilot CLI has explicit permission flags (e.g. --allow-all-tools, --allow-all-paths). For isolated sub-agents, do not provide these flags to ensure safe headless execution.

3. Output to File

Always redirect output to a file (> output.md), then review with view_file.

4. Severity-Stratified Constraints

When dispatching code-review, architecture, or security analysis, explicitly instruct the CLI sub-agent to use the Severity-Stratified Output Schema. This ensures the Outer Loop can parse the results deterministically:

"Format all findings using the strict Severity taxonomy: ๐Ÿ”ด CRITICAL, ๐ŸŸก MODERATE, ๐ŸŸข MINOR."

โœ… Smoke Test (Copilot CLI)

Use this minimal command to verify the CLI is callable and returns output:

copilot -p "Reply with exactly: COPILOT_CLI_OK"

Expected result:

  • CLI prints COPILOT_CLI_OK (or very close equivalent) and exits successfully.

If the test fails:

  • Confirm copilot is on PATH.
  • Ensure you are authenticated in the Copilot CLI session.
  • Retry without any permission flags; keep the test minimal and isolated.

๐ŸŽญ Persona Categories

Category Personas Use For
Security security-auditor Red team, vulnerability scanning
Development 14 personas Backend, frontend, React, Python, Go, etc.
Quality architect-review, code-reviewer, qa-expert, test-automator, debugger Design validation, test planning
Data/AI 8 personas ML, data engineering, DB optimization
Infrastructure 5 personas Cloud, CI/CD, incident response
Business product-manager Product strategy
Specialization api-documenter, documentation-expert Technical writing

All personas in: plugins/personas/

๐Ÿ”„ Recommended Audit Loop

  1. Red Team (Security Auditor) โ†’ find exploits
  2. Architect โ†’ validate design didn't add complexity
  3. QA Expert โ†’ find untested edge cases

Run architect AFTER red team to catch security-fix side effects.