github-issue-to-pr

An automation that turns labeled GitHub issues into pull requests. It watches repositories for a chosen label, asks an OpenHands coding session to implement the issue, and handles the repository work around it.

In plain words
What is it for?
Use it to implement issues from one or more repositories on a schedule, track each label event once, and let the resulting agent work become a pull request.
Why use it?
It removes the manual steps of detecting eligible issues, creating a branch, starting the agent, committing changes, pushing them, and opening a pull request.

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/openhands/extensions/github-issue-to-pr
Any agent
npx skills add OpenHands/extensions --skill github-issue-to-pr
Clone the repo
git clone --depth 1 https://github.com/OpenHands/extensions

Made for: Claude Code, Codex.

Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,074 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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 $0.00057 $0.04074
Opus 5 $0.00028 $0.02037
Sonnet 5 $0.00011 $0.00815
Haiku 4.5 $0.00006 $0.00407

Measured 2d ago against content hash 906571a53315, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

github-issue-to-pr 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/main.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

curl -s https://api.github.com/user \
skills/github-issue-to-pr/SKILL.md · 374 lines

How it starts

The opening of the file, as written. The whole thing — 374 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Issue to PR Automation

Create a cron automation that watches one or more GitHub repositories for issues with a trigger label, starts an OpenHands conversation once per label event with the repository's default branch already checked out, and opens a pull request with whatever the agent produced.

The automation script is deterministic: issue discovery, label-event tracking, state persistence, the clone, the branch, the commit, the push, the pull request, the issue comments, and the clone's removal are all handled in Python. The LLM is invoked only to write the code.

The agent is told which issue to implement, not what it says. It fetches the description, the discussion, and whatever they link to itself, so nothing in the prompt goes stale between dispatch and the moment the agent reads it.

That needs read access, so the conversation is handed exactly one secret, GITHUB_PERSONAL_ACCESS_TOKEN, and no MCP servers. AGENT_SECRET_NAMES stays an allow-list: the rest of the deployment's secret store is not reachable from a conversation whose instructions came from an issue.

The agent also finishes the job: it commits, pushes its branch, and opens the pull request, so the pull request appears when the agent stops rather than on the next poll. The script does not trust that it happened - when the conversation ends it asks GitHub whether the pull request exists, and opens it itself when it does not. origin still carries no credential, so every GitHub command the agent runs has to name GITHUB_PERSONAL_ACCESS_TOKEN; the SDK only puts a secret in the environment of a command that mentions it, and masks it in the output.


Prerequisites

Required secret

Verify that the following secret is set in OpenHands Settings -> Secrets:

Secret name Token type Minimum permissions
GITHUB_PERSONAL_ACCESS_TOKEN Classic PAT repo, plus workflow
GITHUB_PERSONAL_ACCESS_TOKEN Fine-grained PAT Contents: Read and write, Metadata: Read, Issues: Read and write, Pull requests: Read and write, Workflows: Read and write

Read the full file on GitHub · 374 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 374 lines · 57 tokens per session scan A 906571a53315

Subscribe to this mod's changes

github-issue-to-pr is a skill published in the GitHub repository OpenHands/extensions (137 stars, last pushed 4d ago), licensed MIT. It adds 57 tokens to every session and 4,074 once invoked, about $0.0003 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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