ToolHive is a platform for running and managing Model Context Protocol servers, which give AI clients access to tools and data. Developers, platform teams, and enterprises use it to isolate MCP servers, control access, and monitor their operation. The catalogue entries provide agent workflows and configuration for operating ToolHive and its MCP servers.
Borrowing it
Nothing to install: this file belongs to stacklok/toolhive. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/stacklok/toolhive/main/.claude/skills/split-pr/SKILL.mdgit clone --depth 1 https://github.com/stacklok/toolhiveWrote 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.
[](https://agentmods.dev/skills/stacklok/toolhive/split-pr)<a href="https://agentmods.dev/skills/stacklok/toolhive/split-pr"><img src="https://agentmods.dev/badge/skills/stacklok/toolhive/split-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.
<a href="https://agentmods.dev/skills/stacklok/toolhive/split-pr"><img src="https://agentmods.dev/badge/skills/stacklok/toolhive/split-pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00020 | $0.01785 |
| Opus 5.5 | $0.00008 | $0.00714 |
| Sonnet 5.5 | $0.00004 | $0.00357 |
| Haiku 4.5 | $0.00002 | $0.00178 |
Grade A, and why
split-pr scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Split Large PR into Smaller Changes
Purpose
Help developers break down large changesets into logical, reviewable pull requests. This skill analyzes the current diff and proposes a splitting strategy that keeps changes atomic and reviewable.
Instructions
1. Analyze Current Changes
Run these commands to understand the scope:
# Get detailed file statistics
git diff main...HEAD --stat
# List all changed files
git diff main...HEAD --name-only
# Show commit history for context
git log main...HEAD --oneline
# Count non-generated files changed
git diff main...HEAD --name-only | grep -v 'vendor/' | grep -v '\.pb\.go$' | grep -v 'zz_generated' | grep -v '^docs/' | wc -l
# Count lines changed (excluding generated code)
git diff main...HEAD --stat -- . ':(exclude)vendor/*' ':(exclude)*.pb.go' ':(exclude)zz_generated*' ':(exclude)docs/*' | tail -1
2. Evaluate Size and Complexity
Assess whether the changes exceed recommended limits:
- Target limits per PR:
- < 10 files changed (excluding tests, generated code, docs)
- < 400 lines of code changed (excluding tests, generated code, docs)
- Changes represent one logical unit of work
If changes exceed these limits or mix multiple concerns, proceed to split analysis.
3. Identify Logical Groupings
Examine the changed files and identify natural boundaries:
- By component/package: Group changes by the package or component they affect
- By layer: Separate model changes, business logic, API changes, CLI changes
- By concern: Separate refactoring from new features, bug fixes from enhancements
- By dependency: Identify which changes depend on others
Use these commands to help:
# Group changed files by directory
git diff main...HEAD --name-only | grep -v 'vendor/' | grep -v '\.pb\.go$' | cut -d'/' -f1-2 | sort | uniq -c
# Show changes by package
git diff main...HEAD --name-only | grep '\.go$' | grep -v '_test\.go$' | cut -d'/' -f1-3 | sort | uniq -c
4. Propose Split Strategy
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.
- 1mo ago First seen · 212 lines · 20 tokens per session scan A 2dea7c48dbba
split-pr is a skill published in the GitHub repository stacklok/toolhive (2,307 stars, last pushed today), licensed Apache-2.0. It adds 20 tokens to every session and 1,785 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.
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