SKILLEMALL.ai

AD etix

Search Etix events, venues, and performers and pull event/venue details via MCP. Triggers on phrases like "find events on etix", "etix tickets for", "what's playing at <venue> on etix", "etix event details for", "search etix for <artist>", or any request involving Etix events, venues, performers, or showtimes. Requires etix-mcp installed and the fetchproxy extension active with an open etix.com tab (see Setup below).

ClawHub Agent Skills author: chrischall v0.6.2 MIT-0 2 files body ≈ 800 tokens Open the sourceclawhub.ai analyzed 2 d ago

Search Etix events, venues, and performers and pull event/venue details via MCP.

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

ReferenceGitHubAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

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
  • 50Steps. 2 steps
  • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
  • 70When it triggers. States when to use, but not when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 800 tokens
  • 100Running it twice. No mutating operations

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)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 420: enough signal without eating the budget
  • +4Structure: 7 headings
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: suspicious
The skill is transparent about Etix search, but it asks users to run unpinned third-party code and load a browser extension that uses their live Etix browser session.
LLM: suspicious (high) · 10 Sept 2026