mx-open-pr

A procedure for creating a GitHub pull request, a proposed change that others can review before it is merged. It checks related issues and pull requests, chooses suitable labels, and prepares a concise description.

In plain words
What is it for?
Use it when you want completed work opened as a pull request through GitHub. It helps identify issues to close or relate and formats the title and body.
Why use it?
It gathers the context needed for a complete pull request instead of leaving issue links, labels, or the explanation of the change to be handled separately. It also distinguishes between showing a draft and submitting the 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/webern/mx/mx-open-pr
Any agent
npx skills add webern/mx --skill mx-open-pr
Clone the repo
git clone --depth 1 https://github.com/webern/mx

Made for: Claude Code, Codex.

Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 540 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00032 $0.00540
Opus 5 $0.00016 $0.00270
Sonnet 5 $0.00006 $0.00108
Haiku 4.5 $0.00003 $0.00054

Measured 2d ago against content hash ef2874e8e9e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mx-open-pr 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 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.

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.

.agents/skills/mx-open-pr/SKILL.md · 65 lines

What it actually says

/mx-open-pr

Use <prompt> and your context to understand what the PR is about. Check to see if there is documentation on the issue available in docs/ai/api-feature-audit.md (which might be the case if it was previously documented by an api-feature-audit).

Use gh for GitHub interactions.

Search the open issues for one that this PR would close or that it is related to. Make a list of issues that it closes and issues that is related to. It might also be related to other PRs.

When writing the PR, the title should be lowercase and start with one keyword, e.g.

  • build: add cache to make fmt for ci
  • chore: clean up stale code comments
  • docs: add a new ai skill
  • feat: add coda to mx::api support

Look at the labels on GitHub, choose the ones that match the pr best.

Write a PR body. Keep it tight and human-readable, but with enough information to understand what was done and why.

Determine from the original prompt whether the user wanted you to YOLO and open or whether the user wanted to see a draft first.

When ready, create the pr and note the pr number. Make sure the PR body contains references to issues closed and issues/PRs related (if any).

No self-attribution in the PR body; add the ai label instead.

Do not use excessive bold and italics in the PR body. Go easy on the keywords since they will add a lot of backtick formatting as well.

Template/sample:

## Human Summary

TODO: human writes here

## Summary

`accidentalMap` in `Converter.cpp` was missing the entry for `sharpSharp`. Added a single item to the map so that the
double sharps are now fully supported in `mx::api`.

## Testing

- [x] `SharpSharp_PitchData` fails before the fix, passes after
- [x] All PitchData tests pass (`*_PitchData`: 37 assertions in 8 test cases)
- [x] Full test suite passes (3917 assertions in 219 test cases)

## References

- Closes #123
- Progresses #456
- Fixes a bug introduced in #789
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 · 65 lines · 32 tokens per session scan A ef2874e8e9e3

Subscribe to this mod's changes

mx-open-pr is a skill published in the GitHub repository webern/mx (93 stars, last pushed 3d ago), licensed MIT. It adds 32 tokens to every session and 540 once invoked, about $0.0002 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.

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