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pr-summarizer

pr-summarizer is a skill for Claude Code, Codex from oxbshw/LLM-Agents-Ecosystem-Handbook. It costs 34 tokens per session (457 once invoked), scanned A, original, MIT.

A tool that drafts a pull request description from the changes between a code branch and its base branch. A pull request is a proposed code change for review; the draft covers what changed, why, verification, risks, and linked issues.

In plain words
What is it for?
Use it just before opening a pull request or after a substantial update. Provide the base and branch when the defaults—origin/main and the current branch—are not appropriate.
Why use it?
It saves time when turning a branch's commits and diff into a review-ready explanation. It also highlights missing tests and sensitive areas such as authentication, billing, or database migrations.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 558repo 4mo ago A scan SkillSpector: pass 34 tokens original MIT

Good fit Use it just before opening a pull request or after a substantial update. Provide the base and branch when the defaults—origin/main and the current branch—are not appropriate.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/oxbshw/llm-agents-ecosystem-handbook/pr-summarizer
View source ↗ oxbshw/LLM-Agents-Ecosystem-Handbook
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 oxbshw/LLM-Agents-Ecosystem-Handbook --skill pr-summarizer
Clone the repo
git clone --depth 1 https://github.com/oxbshw/LLM-Agents-Ecosystem-Handbook

Made for: Claude Code, 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 pr-summarizer

README.md
[![agentmods](https://agentmods.dev/badge/skills/oxbshw/llm-agents-ecosystem-handbook/pr-summarizer/github.svg)](https://agentmods.dev/skills/oxbshw/llm-agents-ecosystem-handbook/pr-summarizer)
Your own site
<a href="https://agentmods.dev/skills/oxbshw/llm-agents-ecosystem-handbook/pr-summarizer"><img src="https://agentmods.dev/badge/skills/oxbshw/llm-agents-ecosystem-handbook/pr-summarizer/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 pr-summarizer

Your own site · 80×15
<a href="https://agentmods.dev/skills/oxbshw/llm-agents-ecosystem-handbook/pr-summarizer"><img src="https://agentmods.dev/badge/skills/oxbshw/llm-agents-ecosystem-handbook/pr-summarizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 457 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 $0.00034 $0.00457
Opus 5.5 $0.00014 $0.00183
Sonnet 5.5 $0.00007 $0.00091
Haiku 4.5 $0.00003 $0.00046

Measured 2mo ago against content hash 495397162b01, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pr-summarizer 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.

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.

skills/catalog/pr-summarizer/SKILL.md · 49 lines

What it actually says

PR Summarizer

When to use

  • Just before opening a PR
  • After force-pushing a substantive update to an existing PR (refresh description)

When NOT to use

  • Drafts the user is still iterating on (the summary will go stale immediately)
  • Massive diffs (> 1000 lines) — ask the user to scope first

Inputs

Name Type Required Notes
base string no default origin/main
branch string no default current HEAD

Outputs

A markdown PR body with sections: Summary, Why, How tested, Risks, Linked.

Workflow

  1. git diff <base>...HEAD --stat and git log <base>..HEAD --oneline to see scope
  2. git diff <base>...HEAD for content
  3. Group changes by area (one bullet per logical concern, not per file)
  4. Pull "why" from commit messages + linked tickets if mentioned
  5. Identify test artifacts touched; surface as How tested (or flag if none)
  6. Risks: any High-risk paths touched? auth, billing, migrations? mention.
  7. Linked: parse Fixes # / Refs # from commits

References

Success criteria

  • Description ≤ 25 lines
  • Every "why" claim is supported by a commit message or visible in the diff
  • Risks section honest about unknowns ("untested in production data shape")

Failure modes

  • No commit messages worth quoting → "Why" sourced from diff only; flag this
  • Diff touches secrets / .env* → STOP and surface; PR shouldn't include them
Files

What ships with it

1 file 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 · 49 lines · 34 tokens per session scan A 495397162b01

Subscribe to this mod's changes

pr-summarizer is a skill published in the GitHub repository oxbshw/LLM-Agents-Ecosystem-Handbook (558 stars, last pushed 4mo ago), licensed MIT. It adds 34 tokens to every session and 457 once invoked, about $0.0001 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 2026-08-30.

Git and workflowWriting and docsaiai-agentai-agentsengineeringfine-tuningfinetuning-llmsfreameworkread-onlywrites-files
Related

pr-summarizer compared with skills from other repositories

pr-summarizer next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
pr-summarizeroxbshw/LLM-Agents-Ecosystem-HandbookSkill5584mo agoMITA34Claude Code, Codex
ce-commitEveryInc/compound-engineering-pluginSkill26kyesterdayMITA38Claude Code
ce-worktreeEveryInc/compound-engineering-pluginSkill26kyesterdayMITA46Claude Code
ce-babysit-prEveryInc/compound-engineering-pluginSkill26kyesterdayMITA63Claude Code
ce-commit-push-prEveryInc/compound-engineering-pluginSkill26kyesterdayMITA42Claude Code
ce-resolve-pr-feedbackEveryInc/compound-engineering-pluginSkill26kyesterdayMITA60Claude Code
atlas-changelogtonone-ai/tononeSkill7723d agoMITA45Claude Code