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BD PR Size Splitter

Pull request size analyzer and split planner. Measures diff stats for any open or local PR using the gh CLI, classifies it as atomic / reviewable / oversized / unmergeable against configurable line thresholds, detects independent logical chunks (schema migrations, business logic, test additions, config changes, refactors), and proposes a named split plan with branch names and dependency order. Generates a ready-to-post PR comment with the split checklist. Works on open GitHub PRs, local git branches, or raw diff files. Zero external API — uses only the local gh CLI and git diff. Triggers on "PR too large", "split this PR", "pr size", "review this diff", "break up this PR", "atomic commits", "/pr-size".

ClawHub Agent Skills author: Lucius Pang v1.0.3 MIT-0 2 files body ≈ 3 530 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process D 45/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerGitHubSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
D
45/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 45/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 6 mutating operations with no state check
  • 40Consistency. Frontmatter name (PR Size Splitter) differs from the folder (phy-pr-size-splitter)
  • 60Tools and files. Uses tools (bash, git) that frontmatter does not declare
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 17 steps
  • 100Execution cost. Instruction body is 3530 tokens

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +3Description length 711: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 17 items
  • +4Has examples (10 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This skill is a transparent PR-size analysis helper that reads git or GitHub PR diffs and produces split guidance, with no hidden code or persistence shown.
LLM: benign (high) · VirusTotal: · 29 May 2026