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AD eventbrite

Query eventbrite.com from a shell — your tickets/orders, your organizations' events and attendees via the documented token API (curl), and public event discovery/search via the fpx browser bridge (the search API is WAF-walled and absent from the documented API). Use when you want Eventbrite data without an MCP server, in a script, or one-shot.

ClawHub Agent Skills author: chrischall v0.3.1 MIT-0 4 files body ≈ 677 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Query eventbrite.com from a shell — your tickets/orders, your organizations' events and attendees via the documented token API (curl), and public event…

As a process D 42/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

IntegrationAI and agentstype 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
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
D
42/100
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

    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: 1. 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 42/100

    • 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
    • 30Running it twice. 4 mutating operations with no state check
    • 40Consistency. Frontmatter name (eventbrite) differs from the folder (eventbrite-mcp)
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 85Steps. 7 steps, 1 vague phrases
    • 100Execution cost. Instruction body is 677 tokens
    • 100Progress reporting. Reports progress

    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 345: enough signal without eating the budget
    • +4Structure: 4 headings
    • +3Step-by-step instructions: 7 items
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: suspicious
    The skill is read-only and purpose-aligned, but it deserves review because it installs an unpinned global browser-bridge tool that persists and can use a signed-in Eventbrite session to access private account and attendee data.
    LLM: suspicious (high) · 10 Sept 2026