gh-aw: Skill for Claude Code

.github/skills/gh-agent-session/SKILL.md

gh-agent-session is a skill for Claude Code, Codex from github/gh-aw. It costs 16 tokens per session (2,342 once invoked), scanned A, original, MIT.

A GitHub CLI extension for creating and managing coding-agent sessions. Each session is a GitHub issue containing plain-language instructions that can trigger automated code changes and a pull request.

In plain words
What is it for?
Use it to create agent tasks from text or a file, choose a base branch, and manage automated coding sessions.
Why use it?
It provides a command-line way to send coding work to GitHub Copilot and track the result as an issue and pull request. It requires GitHub CLI installation and suitable authentication.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

This is github/gh-aw's own configuration. It tells Claude Code and Codex how to work on gh-aw itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything gh-aw configures →

About the project

GitHub Agentic Workflows is a GitHub CLI extension that lets developers define AI-assisted repository automation in Markdown and run it through GitHub Actions. It is intended for tasks requiring interpretation or reasoning, such as issue triage, pull-request review, CI investigation, documentation maintenance, and dependency analysis. The catalogue entries provide skills and agents for working with these workflows.

github/gh-aw · 5,406 stars · on GitHub · gh.io

Reuse

Borrowing it

Nothing to install: this file belongs to github/gh-aw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/github/gh-aw/main/.github/skills/gh-agent-session/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/github/gh-aw

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for gh-agent-session

README.md
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Your own site
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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.

agentmods 80×15 button for gh-agent-session

Your own site · 80×15
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Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,342 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 5 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 29
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 195
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 386
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • medium Excessive Agency · line 17
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • low Privilege Escalation · line 181
    Skill requests more permissions than appear necessary for its stated functionality. Review if elevated access is justified.
    Fix: Request only the minimum permissions required. Document why each permission is needed. Remove broad permissions like '*' or 'all'.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00016 $0.02342
Opus 5.5 $0.00006 $0.00937
Sonnet 5.5 $0.00003 $0.00468
Haiku 4.5 $0.00002 $0.00234

Measured 1mo ago against content hash 5940cbc12a45, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gh-agent-session 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.github/skills/gh-agent-session/SKILL.md · 387 lines

How it starts

The opening of the file, as written. The whole thing — 387 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub CLI Agent Session Extension

The gh agent-task extension creates GitHub Copilot coding agent sessions from the CLI. A session is a GitHub issue that triggers automated code changes from natural language instructions.

Repository: https://github.com/github/agent-task (internal GitHub extension)

Overview

Agent sessions are GitHub issues that:

  • Contain natural language instructions for code changes
  • Trigger GitHub Copilot to autonomously execute the task
  • Create pull requests with the implemented changes
  • Provide a workflow for reviewing and merging automated code modifications

Installation

Install via GitHub CLI:

gh extension install github/agent-task

Note: This extension requires authentication with a Personal Access Token (PAT) that has appropriate permissions for creating issues and pull requests.

Core Commands

Create Agent Task

Create a new agent session from a description:

# Create task with inline description
gh agent-task create "Fix the bug in authentication flow"

# Create task from file
gh agent-task create --from-file task-description.md

# Specify base branch
gh agent-task create --base develop "Implement new feature"

# Create in different repository
gh agent-task create --repo owner/repo "Update documentation"

Command Parameters:

  • Description (positional): Natural language description of the task
  • --from-file <path>: Read task description from file
  • --base <branch>: Base branch for the pull request (default: repository default branch)
  • --repo <owner/repo>: Target repository (default: current repository)

Output Format: The command outputs the URL of the created agent session:

https://github.com/owner/repo/issues/123

List Agent Tasks

List agent sessions in a repository:

# List all agent sessions
gh agent-task list

# List with filters
gh agent-task list --state open
gh agent-task list --state closed
gh agent-task list --state all

Read the full file on GitHub · 387 lines

Changes

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.

  1. 1mo ago First seen · 387 lines · 16 tokens per session scan A 5940cbc12a45

Subscribe to this mod's changes

gh-agent-session is a skill published in the GitHub repository github/gh-aw (5,406 stars, last pushed today), licensed MIT. It adds 16 tokens to every session and 2,342 once invoked, about $0.0001 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.

Related

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