issue-to-pr-resolver

issue-to-pr-resolver is a skill for Claude Code from homeassistant-ai/ha-mcp. It costs 85 tokens per session (1,126 once invoked), scanned A, original, MIT.

An end-to-end workflow for implementing a GitHub issue in the homeassistant-ai/ha-mcp repository and preparing it for merge. It includes a separate worktree, code and tests, a draft pull request, and follow-up fixes for CI and review comments.

In plain words
What is it for?
Use it to turn an issue into tested code and a clean draft pull request, following the repository's documentation, conventions, and end-to-end test commands.
Why use it?
It keeps issue implementation, testing, review feedback, and build failures in one repeatable process instead of leaving the work partly finished.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions AGENTS.md.

Good fit Use it to turn an issue into tested code and a clean draft pull request, following the repository's documentation, conventions, and end-to-end test commands.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/homeassistant-ai/ha-mcp/issue-to-pr-resolver
About the project

ha-mcp is an unofficial Model Context Protocol server that lets AI assistants interact with Home Assistant, including controlling devices, checking states, running services, and managing automations. Home Assistant users can connect it through the HA-MCP custom component or another supported setup. The catalogue entries are skills, agents, instructions, settings, and an MCP configuration for working with it.

homeassistant-ai/ha-mcp · 4,682 stars · on GitHub · homeassistant-ai.github.io

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.

Any agent
npx skills add homeassistant-ai/ha-mcp --skill issue-to-pr-resolver
Clone the repo
git clone --depth 1 https://github.com/homeassistant-ai/ha-mcp

Made for: Claude Code.

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 issue-to-pr-resolver

README.md
[![agentmods](https://agentmods.dev/badge/skills/homeassistant-ai/ha-mcp/issue-to-pr-resolver/github.svg)](https://agentmods.dev/skills/homeassistant-ai/ha-mcp/issue-to-pr-resolver)
Your own site
<a href="https://agentmods.dev/skills/homeassistant-ai/ha-mcp/issue-to-pr-resolver"><img src="https://agentmods.dev/badge/skills/homeassistant-ai/ha-mcp/issue-to-pr-resolver/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.

agentmods 80×15 button for issue-to-pr-resolver

Your own site · 80×15
<a href="https://agentmods.dev/skills/homeassistant-ai/ha-mcp/issue-to-pr-resolver"><img src="https://agentmods.dev/badge/skills/homeassistant-ai/ha-mcp/issue-to-pr-resolver.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,126 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 pass 7 Sept 2026
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 $0.00085 $0.01126
Opus 5 $0.00043 $0.00563
Sonnet 5 $0.00017 $0.00225
Haiku 4.5 $0.00009 $0.00113

Measured 9d ago against content hash 3fb43107488e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

issue-to-pr-resolver 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 9d 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:

.claude/skills/issue-to-pr-resolver/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Issue-to-PR Resolver

Implement GitHub issue #$ARGUMENTS in homeassistant-ai/ha-mcp end-to-end.

Phase 1: Setup

Read the issue:

gh issue view "$ARGUMENTS" --repo homeassistant-ai/ha-mcp --json title,body,labels,comments,author

Create a worktree from repo root:

cd "$(git rev-parse --show-toplevel)"
git checkout master && git pull origin master
git worktree add "worktree/issue-$ARGUMENTS" -b "feature/issue-$ARGUMENTS"
git -C "worktree/issue-$ARGUMENTS" submodule update --init --recursive
cd "worktree/issue-$ARGUMENTS"

Phase 2: Implement

  • Analyze codebase structure and patterns before writing code
  • Follow project conventions (see AGENTS.md for patterns, naming, error handling)
  • Write tests — all new MCP tools in src/ha_mcp/tools/ need E2E tests
  • Run tests locally: cd tests && uv run pytest src/e2e/ -n2 --dist loadscope -v --tb=short
  • Make atomic, well-described commits using conventional commit prefixes

Philosophy: Work autonomously. Don't ask about every small decision. Fix unrelated test failures encountered. Document all choices for the final summary.

If a non-obvious choice has significant consequences, present the available options to the user and let them choose.

Phase 3: Create PR

git push -u origin "feature/issue-$ARGUMENTS"
PR_NUMBER=$(gh pr create --draft \
  --repo homeassistant-ai/ha-mcp \
  --title "<descriptive title>" \
  --body "Closes #$ARGUMENTS

## What does this PR do?
[description]
" | grep -oE '[0-9]+$')

Wait for CI:

gh pr checks "$PR_NUMBER" --repo homeassistant-ai/ha-mcp --watch

Before marking ready (gh pr ready), update the PR description to reflect all changes made.

Phase 4: Resolution Loop

Repeat until all checks green and no unresolved threads:

Check for issues:

gh pr checks "$PR_NUMBER" --repo homeassistant-ai/ha-mcp
gh api repos/homeassistant-ai/ha-mcp/pulls/"$PR_NUMBER"/comments \
  --jq '.[] | {id, path, line, author: .user.login, body}'
gh api graphql -F pr="$PR_NUMBER" -f query='query($pr: Int!) { repository(owner:"homeassistant-ai", name:"ha-mcp") { pullRequest(number:$pr) { reviewThreads(first:100) { nodes { id isResolved comments(first:1) { nodes { databaseId body } } } } } } }'

Read the full file on GitHub · 114 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. 9d ago Changed 3fb43107488e
  2. 11d ago First seen · 114 lines · 85 tokens per session scan A 97fc9693f185

Subscribe to this mod's changes

issue-to-pr-resolver is a skill published in the GitHub repository homeassistant-ai/ha-mcp (4,682 stars, last pushed 2d ago), licensed MIT. It adds 85 tokens to every session and 1,126 once invoked, about $0.0004 per session on Opus 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

Other skills, from other repositories

github

GitHub via gh CLI: PRs, issues, reviews, repos, auth.

NousResearch/hermes-agent · 19 tokens

github

GitHub operations via gh CLI: issues, PRs, CI runs, code review, API queries. Use when: (1) checking PR status or CI, (2) creating/commenting on issues, (3) listing/filtering PRs or issues, (4) viewing run logs. NOT for: complex web UI interactions requiring manual browser flows (use browser tooling when available)…

opensquilla/opensquilla · 101 tokens

meta-codereview-current-diff

Read the current uncommitted diff, run three independent reviewers (safety + tests-coverage + style) in parallel, then arbitrate a single BLOCK / BLOCKWITHOVERRIDE / PASSWITHNOTES verdict. Use before commit when you want a multi-perspective second-opinion instead of a single-reviewer agent loop.

opensquilla/opensquilla · 73 tokens

goal-pr

Drive a pull request to a clean state and merge it: run the review-pr skill, fix every mid-or-above finding, and repeat until no mid-or-above findings remain, then merge. Use when the user wants to finish a PR by reviewing, fixing, and merging it, or triggers on "the goal-pr skill".

dyoshikawa/rulesync · 74 tokens

prs-awaiting-maintainer

List open pull requests where the ball is in the maintainer's court: CI is green and the PR is ready for a maintainer to review, re-review, or merge. Use when the user wants to see PRs awaiting maintainer action.

dyoshikawa/rulesync · 56 tokens

post-review-comments

Post line-level review comments and an overall review comment on a PR in English with a natural, concise writing style.

dyoshikawa/rulesync · 26 tokens