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AF tennis-grand-slam-planner

When a user mentions watching tennis, Grand Slam travel, or planning a trip to the Australian Open, French Open (Roland Garros), Wimbledon, or US Open, activate this skill. It combines the Grand Slam calendar with flyai travel APIs to generate a complete "match-chasing" itinerary — including flights, hotels near the venue, local attractions, and event tickets — all organized around the tournament schedule. Not for general travel planning without a tennis event context.

ClawHub Agent Skills author: lokwq v1.0.1 MIT-0 7 files · 1 script body ≈ 997 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 58/100 · Will not run — References files that are not bundled: {mainPic}, {picUrl}, {jumpUrl}

GeneratorPersonal productivityInfrastructuretype 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
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
F
58/100
Will not run
References files that are not bundled: {mainPic}, {picUrl}, {jumpUrl}
Tools and files w 18
0
Progress reporting w 2
0
Running it twice w 4
30
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: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: {mainPic}
  • warning missing-ref reference to a missing file: {picUrl}
  • warning missing-ref reference to a missing file: {jumpUrl}
  • warning missing-ref reference to a missing file: {detailUrl}

Process rating: all ten parameters 58/100

Will not run. References files that are not bundled: {mainPic}, {picUrl}, {jumpUrl}
  • 0Tools and files. 4 referenced file(s) missing: {mainPic}, {picUrl}, {jumpUrl}
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (tennis-grand-slam-planner) differs from the folder (ace-trip)
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 21 steps
  • 100Failures and branches. 4 branches, has a failure section
  • 100Execution cost. Instruction body is 997 tokens

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
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 473: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 21 items
  • +3Output format is stated explicitly
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: clean
This skill is a coherent tennis travel planner that uses a disclosed third-party travel CLI, with privacy and visa-advice cautions but no evidence of malicious behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026