gh-issues

An automated workflow for handling GitHub issues, where reported bugs and tasks are tracked. It can assign agents to implement fixes and prepare pull requests for review.

In plain words
What is it for?
Use it to process selected issues by repository, label, milestone, or assignee; run review-only or dry-run workflows; and monitor or schedule the work.
Why use it?
It reduces the manual work of finding issues, starting fixes, following review feedback, and watching the resulting pull requests.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/fufankeji/vibecodingcourse_v1/gh-issues
Any agent
npx skills add fufankeji/VibeCodingCourse_v1 --skill gh-issues
Clone the repo
git clone --depth 1 https://github.com/fufankeji/VibeCodingCourse_v1

Made for: Claude Code, Codex.

Per session 116 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,786 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown 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 $0.00116 $0.08786
Opus 5 $0.00058 $0.04393
Sonnet 5 $0.00023 $0.01757
Haiku 4.5 $0.00012 $0.00879

Measured 2d ago against content hash 9cfc67329014, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gh-issues scanned grade A with 1 finding 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 2d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

{ "openclaw": { "requires": { "bins": ["curl", "git", "gh"] }, "primaryEnv": "GH_TOKEN" } }
Week2_Cursor_Deep_Dive/Lesson03_OpenClaw_Architecture_Digital_Employee/openclaw/skills/gh-issues/SKILL.md · 866 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2d ago First seen · 866 lines · 116 tokens per session scan A 9cfc67329014

Subscribe to this mod's changes

gh-issues is a skill published in the GitHub repository fufankeji/VibeCodingCourse_v1 (121 stars, last pushed 5mo ago), with no licence file. It adds 116 tokens to every session and 8,786 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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