Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add neverinfamous/memory-journal-mcp --skill github-copilot-cligit clone --depth 1 https://github.com/neverinfamous/memory-journal-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/neverinfamous/memory-journal-mcp/github-copilot-cli)<a href="https://agentmods.dev/skills/neverinfamous/memory-journal-mcp/github-copilot-cli"><img src="https://agentmods.dev/badge/skills/neverinfamous/memory-journal-mcp/github-copilot-cli/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/neverinfamous/memory-journal-mcp/github-copilot-cli"><img src="https://agentmods.dev/badge/skills/neverinfamous/memory-journal-mcp/github-copilot-cli.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00102 | $0.00654 |
| Opus 5.5 | $0.00041 | $0.00262 |
| Sonnet 5.5 | $0.00020 | $0.00131 |
| Haiku 4.5 | $0.00010 | $0.00065 |
Grade A, and why
github-copilot-cli scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Copilot CLI
The new GitHub Copilot agentic CLI is integrated directly into the GitHub CLI (gh). The older standalone github-copilot-cli package and the gh-copilot extension are deprecated. You must use gh copilot which now triggers the new agentic experience natively.
When integrated into an AI workflow (AI evaluating AI), it acts as a robust secondary reviewer mapping against different context windows and potentially different foundational models than the primary agent, significantly reducing confirmation bias during PR or full-repository reviews.
⚠️ CRITICAL — Non-Interactive Mode: The
gh copilotCLI must be run in non-interactive mode using the-p(or--prompt) flag. Omitting this flag will launch an interactive UI and hang the agent indefinitely. Use-s(silent) to suppress styling/decorations and output raw text.
Installation & Authentication Baseline
Before using the CLI in automated pipelines, ensure the terminal environment is equipped and authenticated:
# 1. Verify availability
gh copilot --version || echo "Copilot not installed"
# 2. Pre-check / Authenticate
# Check auth status first. If this fails, the environment cannot use Copilot.
gh auth status
# If unauthenticated, human interaction is required (which agents cannot do).
# Fallback: Gracefully skip the Copilot execution step, log the skip reason, and proceed with other tasks.
# gh auth login
Agentic Interaction Strategies
Because the Copilot CLI is primarily interactive, standalone non-interactive agents cannot easily navigate its interactive UI natively for arbitrary open-ended tasks.
However, you can leverage its single-shot non-interactive mode (-p) for targeted tasks:
Direct Tool Commands
For precise shell suggestions or file explanations in automated workflows:
# Shell Suggestion (Evaluates context and produces command)
gh copilot -p -s "find all files over 5mb in the current directory"
# File Explanation
gh copilot -p -s "explain src/utils/crypto.ts"
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 60 lines · 102 tokens per session scan A b77e1ea07278
github-copilot-cli is a skill published in the GitHub repository neverinfamous/memory-journal-mcp (20 stars, last pushed 3mo ago), licensed MIT. It adds 102 tokens to every session and 654 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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skill-creator
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context-end
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context-setup
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context-start
Load this workspace's current state, recent decisions, blockers, priorities, and session continuity, then give a concise briefing. Use only when the user explicitly asks to begin or resume a workspace session.
context-update
Save a brief mid-session checkpoint to this workspace and update current state only when a priority or open thread changed. Use only when the user explicitly asks to checkpoint or save current progress.
migrate-gemini
Migrate selected Gemini CLI instructions, commands, skills, hooks, and MCP configuration into this workspace with a dry run, review gates, and parity checks.