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AC pr-description

Automatically generate a structured, high-quality Pull Request (PR) description based on the provided git diff or code changes. Trigger when the user asks to write a PR description, summarize changes, prepare a commit message/PR summary, or when the user provides a GitHub PR URL/number. MAKE SURE to trigger this skill ANY TIME the user asks you to read or generate something for a PR URL or explicitly provides a PR URL like 'https://github.com/xxx/xxx/pull/xxx' or 'https://github.com/xxx/xxx/pr/xxx' or 'https://github.com/xxx/xxx/pull/xxx.diff'.

ClawHub Agent Skills author: Xudong Guo v1.1.3 MIT-0 4 files body ≈ 1 538 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Automatically generate a structured, high-quality Pull Request (PR) description based on the provided git diff or code changes.

As a process C 61/100 · Has gaps — weak spots: result and completion, inputs and preconditions

GeneratorGitHubSoftware developmentWriting and documentstype 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
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 61/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Failures and branches. 7 branches
    • 100Steps. 19 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1538 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • medium 4 test cases, all positive: not one "should refuse" or "should ask first"
    • low No test case covers injection arriving through data

    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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 550: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 19 items
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This skill is a disclosed PR-description helper that can optionally update a GitHub PR only after review and explicit approval.
    LLM: benign (high) · VirusTotal: · 29 May 2026