SKILLEMALL.ai

BC event-staffing-ordering

Order temporary event staff (registration, brand ambassadors, ushers, crowd control, hospitality, setup/breakdown, and more) using TempGuru's public catalog of 345 configured US and Canadian markets. Use when a user needs to hire, book, or budget event staff, get a staffing quote, find an event staffing agency, ask "how many staff do I need" for an attendee count, or price roles like brand ambassadors, registration staff, or trade-show booth staff, for a convention, conference, trade show, festival, concert, sporting event, stadium event, corporate gathering, or brand activation, single event or multi-city program. Also use for adjacent event planning before staffing comes up: a BEO, an RFP, a run of show, load-in/load-out, a registration desk, booth staffing, or crew calls. Covers requirement gathering, configured-market matching plus rate/compliance lookups via MCP, and a buyer-operated quote-form handoff where a coordinator confirms the specific order. Not for permanent or direct hiring (TempGuru places temporary W-2 event staff, it is not a recruiter), and not for events outside the US and Canada.

ClawHub Agent Skills author: Megan Hayward v1.7.0 MIT-0 3 files body ≈ 2 886 tokens Open the sourceclawhub.ai analyzed 2 d ago

Order temporary event staff (registration, brand ambassadors, ushers, crowd control, hospitality, setup/breakdown, and more) using TempGuru's public catalog…

As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

ProcedureProcurementAI and agentsMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
C
52/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Shorten the description to 1024 characters.
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1118 chars, limit 1024

Process rating: all ten parameters 52/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 6 mutating operations with no state check
  • 40Consistency. Frontmatter name (event-staffing-ordering) differs from the folder (tempguru-event-staffing-ordering)
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 26 steps
  • 100Failures and branches. 6 branches, has a failure section
  • 100Execution cost. Instruction body is 2886 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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
  • +3Description length 1118: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (0 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: clean
This skill is a disclosed TempGuru event-staffing helper that plans staffing and hands the buyer to a quote form without submitting contact details or creating an order itself.
LLM: benign (high) · VirusTotal: · 14 Aug 2026