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AA linear-ticket-creator

Generate well-structured Linear tickets from bugs, features, and improvements. Explores the codebase to auto-populate technical notes, acceptance criteria, and scope. TRIGGER when: user asks to create a Linear ticket, write a ticket, draft a bug report, or convert a requirement into a ticket. DO NOT TRIGGER when: user is working on code, asking general questions, or managing existing tickets.

ClawHub Agent Skills author: Paolo Antonio Rossi v1.1.0 MIT-0 3 files body ≈ 1 323 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process A 86/100 · Runs to the end — weak spots: result and completion, progress reporting

GeneratorLinearSoftware developmentInfrastructuretype 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
A
86/100
Runs to the end
Progress reporting w 2
0
Result and completion w 14
40
Failures and branches w 10
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "changelog"

    Process rating: all ten parameters 86/100

    • 0Progress reporting. Says nothing while it works
    • 40Result and completion. Does not say what the result is
    • 60Failures and branches. 2 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 14 steps
    • 100When it triggers. States when to use and when not to
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1323 tokens
    • 100Running it twice. No mutating operations
    • medium 7 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
    • +2Single-language instructions
    • +3Description length 395: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 14 items
    • +4Has examples (2 code blocks)
    • +1License stated

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

    External checks

    ClawHub: clean
    This is a straightforward instruction-only skill for drafting Linear tickets, with codebase reading disclosed and aligned to that purpose.
    LLM: benign (high) · VirusTotal: · 29 May 2026