iterate-pr

iterate-pr is a skill for Claude Code from ratnesh-maurya/cursor-claude-personas. It costs 47 tokens per session (1,886 once invoked), scanned A, original, MIT.

A workflow for repeatedly fixing a pull request until its automated checks pass and review feedback has been handled. A pull request is a proposed code change submitted for review.

In plain words
What is it for?
It is for reading failed CI logs, sorting review feedback by urgency, applying fixes, pushing updates, and checking the results again.
Why use it?
It brings CI failures, test results, and reviewer comments into one fix-and-check cycle, reducing manual follow-up.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions Claude Code.

Good fit It is for reading failed CI logs, sorting review feedback by urgency, applying fixes, pushing updates, and checking the results again.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ratnesh-maurya/cursor-claude-personas/iterate-pr
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 ratnesh-maurya/cursor-claude-personas --skill iterate-pr
Clone the repo
git clone --depth 1 https://github.com/ratnesh-maurya/cursor-claude-personas

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 iterate-pr

README.md
[![agentmods](https://agentmods.dev/badge/skills/ratnesh-maurya/cursor-claude-personas/iterate-pr/github.svg)](https://agentmods.dev/skills/ratnesh-maurya/cursor-claude-personas/iterate-pr)
Your own site
<a href="https://agentmods.dev/skills/ratnesh-maurya/cursor-claude-personas/iterate-pr"><img src="https://agentmods.dev/badge/skills/ratnesh-maurya/cursor-claude-personas/iterate-pr/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 iterate-pr

Your own site · 80×15
<a href="https://agentmods.dev/skills/ratnesh-maurya/cursor-claude-personas/iterate-pr"><img src="https://agentmods.dev/badge/skills/ratnesh-maurya/cursor-claude-personas/iterate-pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,886 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 $0.00047 $0.01886
Opus 5 $0.00023 $0.00943
Sonnet 5 $0.00009 $0.00377
Haiku 4.5 $0.00005 $0.00189

Measured 8d ago against content hash 5b811ba279d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

iterate-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 8d 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

2 near-identical copies found in the catalogue:

.claude/skills/iterate-pr/SKILL.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Iterate on PR Until CI Passes

Continuously iterate on the current branch until all CI checks pass and review feedback is addressed.

Requires: GitHub CLI (gh) authenticated.

Important: All scripts must be run from the repository root directory (where .git is located), not from the skill directory. Use the full path to the script via ${CLAUDE_SKILL_ROOT}.

Bundled Scripts

scripts/fetch_pr_checks.py

Fetches CI check status and extracts failure snippets from logs.

uv run ${CLAUDE_SKILL_ROOT}/scripts/fetch_pr_checks.py [--pr NUMBER]

Returns JSON:

{
  "pr": {"number": 123, "branch": "feat/foo"},
  "summary": {"total": 5, "passed": 3, "failed": 2, "pending": 0},
  "checks": [
    {"name": "tests", "status": "fail", "log_snippet": "...", "run_id": 123},
    {"name": "lint", "status": "pass"}
  ]
}

scripts/fetch_pr_feedback.py

Fetches and categorizes PR review feedback using the LOGAF scale.

uv run ${CLAUDE_SKILL_ROOT}/scripts/fetch_pr_feedback.py [--pr NUMBER]

Returns JSON with feedback categorized as:

  • high - Must address before merge (h:, blocker, changes requested)
  • medium - Should address (m:, standard feedback)
  • low - Optional (l:, nit, style, suggestion)
  • bot - Informational automated comments (Codecov, Dependabot, etc.)
  • resolved - Already resolved threads

Review bot feedback (from Sentry, Warden, Cursor, Bugbot, CodeQL, etc.) appears in high/medium/low with review_bot: true — it is NOT placed in the bot bucket.

Each feedback item may also include:

  • thread_id - GraphQL node ID for inline review comments (used for replies)

Workflow

1. Identify PR

gh pr view --json number,url,headRefName

Stop if no PR exists for the current branch.

2. Gather Review Feedback

Run ${CLAUDE_SKILL_ROOT}/scripts/fetch_pr_feedback.py to get categorized feedback already posted on the PR.

Read the full file on GitHub · 188 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. 8d ago First seen · 188 lines · 47 tokens per session scan A 5b811ba279d8

Subscribe to this mod's changes

iterate-pr is a skill published in the GitHub repository ratnesh-maurya/cursor-claude-personas (8 stars, last pushed 5mo ago), licensed MIT. It adds 47 tokens to every session and 1,886 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 2026-09-03.

Related

Other skills, from other repositories

chinese-git-workflow

A reference for configuring Git with Chinese code-hosting services such as Gitee, Coding.net, GitLab China, and CNB, including SSH, HTTPS, credentials, CI, and repository mirroring.

jnMetaCode/superpowers-zh · 69 tokens

gentle-ai-collab-perfect

Trigger: contributing to Gentleman-Programming/gentle-ai as an external collaborator. Strict issue-first workflow, honest PR bodies, contributor-vs-maintainer scope, chained-PR strategy, verification protocol, docstring coverage. Load whenever the active repo is Gentleman-Programming/gentle-ai and any part of the…

Gentleman-Programming/gentle-ai · 106 tokens

branch-pr

Create Gentle AI pull requests with issue-first checks. Trigger: creating, opening, or preparing PRs for review.

Gentleman-Programming/gentle-ai · 26 tokens

work-unit-commits

Plan commits as reviewable work units. Trigger: implementation, commit splitting, chained PRs, or keeping tests and docs with code.

Gentleman-Programming/gentle-ai · 33 tokens

github-release-briefing-skill

Create a source-linked briefing for the latest published GitHub release of a public repository. Use for engineering teams tracking a dependency release; do not use it to publish releases or change repositories.

FrancyJGLisboa/agent-skill-creator · 45 tokens

turborepo-caching

Configure Turborepo for efficient monorepo builds with local and remote caching. Use when setting up Turborepo, optimizing build pipelines, or implementing distributed caching.

wshobson/agents · 42 tokens