run-pr-cycle

run-pr-cycle is a skill for Codex from ShivaeDev/pardes. It costs 38 tokens per session (746 once invoked), scanned A, original, MIT.

A workflow for publishing and managing a GitHub pull request, which is a proposed code change sent for review. It also handles problems such as failed checks, review comments, merge conflicts, and merging.

In plain words
What is it for?
Use it to create or update pull requests, connect them to issues, open them in a browser, and track what still needs action.
Why use it?
It gives a defined process for moving verified code through review and responding when the pull request needs attention.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it to create or update pull requests, connect them to issues, open them in a browser, and track what still needs action.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shivaedev/pardes/run-pr-cycle
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 ShivaeDev/pardes --skill run-pr-cycle
Clone the repo
git clone --depth 1 https://github.com/ShivaeDev/pardes

Made for: 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 run-pr-cycle

README.md
[![agentmods](https://agentmods.dev/badge/skills/shivaedev/pardes/run-pr-cycle/github.svg)](https://agentmods.dev/skills/shivaedev/pardes/run-pr-cycle)
Your own site
<a href="https://agentmods.dev/skills/shivaedev/pardes/run-pr-cycle"><img src="https://agentmods.dev/badge/skills/shivaedev/pardes/run-pr-cycle/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 run-pr-cycle

Your own site · 80×15
<a href="https://agentmods.dev/skills/shivaedev/pardes/run-pr-cycle"><img src="https://agentmods.dev/badge/skills/shivaedev/pardes/run-pr-cycle.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 746 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.
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 $0.00038 $0.00746
Opus 5.5 $0.00015 $0.00298
Sonnet 5.5 $0.00008 $0.00149
Haiku 4.5 $0.00004 $0.00075

Measured 2mo ago against content hash 277b608f3f0d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

run-pr-cycle 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 2mo ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/test_watch_pr.py, scripts/watch_pr.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.

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.

plugins/codex-workstreams/skills/run-pr-cycle/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Run PR Cycle

Publish a verified owner-worker branch, hand the pull request to the user, and block until GitHub reports activity that needs attention.

Publish

  1. Check accepted commits, diffstat, verifier conclusions, and worker validation without reading the full diff.
  2. Use write-pr-description.
  3. Push the owner-worker branch and create or update the pull request with the correct base branch and issue links.
    • When using gh, write the PR body to ${CODEX_ARTIFACTS_DIR:-$HOME/codex-artifacts}/pr-bodies/codex-pr-body-<branch-slug>.md, pass it with --body-file <path>, and delete it immediately after GitHub accepts the pull request. Do not use a system temporary directory or the ignored .worktrees/ directory.
    • Keep the host-executed gh pr create command simple so persisted prefix approval can match it. Do not embed a multiline body with $'...', a heredoc, redirection, command substitution, or a pipeline.
  4. Open the pull request in the user's browser with gh pr view --web <pr-url>. Run this outside the sandbox because it launches a host GUI.
  5. Record the PR URL and waiting state in the workstream note.

The manager publishes. Workers commit but do not push. Never amend, force-push, or merge.

Wait

Run the monitor outside the sandbox from the outset because gh needs local authentication and GitHub access:

uv run "<run-pr-cycle-skill>/scripts/watch_pr.py" <pr-url>

The helper always blocks until attention is required. Give the shell command a wait of at least 30 minutes when the tool supports a timeout. If the shell yields a running session, block on that process with long waits. Do not create a model-side polling loop.

When the helper returns, treat its JSON as an immediate notification. Read attention, action_types, and observation before deciding what to do next. observation: initial_snapshot means an actionable state was already present when monitoring began; it does not mean the helper is still waiting.

Read the full file on GitHub · 76 lines

Files

What ships with it

3 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. 2mo ago First seen · 76 lines · 38 tokens per session scan A 277b608f3f0d

Subscribe to this mod's changes

run-pr-cycle is a skill published in the GitHub repository ShivaeDev/pardes (5 stars, last pushed 3mo ago), licensed MIT. It adds 38 tokens to every session and 746 once invoked, about $0.0002 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 2026-08-31.

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