SKILLEMALL.ai

AF football-pilgrimage

Generate a football pilgrimage guide for any team — stadium tours, football museums, fan pubs, and cultural landmarks. Each spot comes with deep storytelling (history, legends, anecdotes). Includes "On This Day" feature matching travel dates to historic football events, **live match detection during trip dates**, and **ticket search** (match tickets, attraction tickets via flyai). Use when: user asks for a football pilgrimage, stadium tour guide, fan culture trip, "pilgrimage guide" for a specific team, or wants to search for match/attraction tickets. Don't use when: user asks for match results, live scores, standings, or player stats (use football-data instead).

ClawHub Agent Skills author: isgaoyun v1.0.2 MIT-0 9 files body ≈ 4 304 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 56/100 · Will not run — References files that are not bundled: {crest_url}

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
F
56/100
Will not run
References files that are not bundled: {crest_url}
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: {crest_url}

Process rating: all ten parameters 56/100

Will not run. References files that are not bundled: {crest_url}
  • 0Tools and files. 1 referenced file(s) missing: {crest_url}
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 4304 tokens
  • 100Steps. 116 steps
  • 100Failures and branches. 24 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. No mutating operations
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 top-level sections: this looks like several domains in one skill

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

  • -221 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +4Description says when NOT to use the skill
  • +3Description length 671: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 116 items
  • +3Output format is stated explicitly
  • +4Has examples (0 code blocks)
  • +4Reference files are cited in the instructions (3 of 6)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

External checks

ClawHub: clean
This instruction-only football travel planning skill uses disclosed external lookup services and does not include code, persistence, credential access, or local data access.
LLM: benign (high) · VirusTotal: · 29 May 2026