SKILLEMALL.ai

BB Flight

Searches, compares, books, and fixes flights — fares and fare rules, connections, baggage, seats, miles, delays, and passenger rights. Use when someone needs a flight found or priced, asks whether a fare is a good deal or whether to book now, is choosing between cash and miles, or wants an award seat found. Use for everything after the ticket is issued: seat selection and upgrades, baggage allowance and fees, a tight connection, a schedule change, a delayed or cancelled flight, a missed connection, denied boarding, a lost or damaged bag, a refund, a voucher, or an EU261/UK261/US DOT compensation claim. Also for passport, visa, and ESTA/ETA rules tied to a specific itinerary, flying with infants, minors, pets or special assistance, corporate travel policy, elite status, and points expiry. Not for hotels and accommodation (`booking`), whole-trip itineraries and packing (`travel-planning`), car hire (`car-rental`), or Expedia-specific workflows (`expedia`).

ClawHub Agent Skills author: Iván v1.0.3 MIT-0 19 files body ≈ 6 657 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 69/100 · Nearly there — weak spots: inputs and preconditions, progress reporting

ProcedureInfrastructureCommercetype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
B
69/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 19. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning body-long SKILL.md body ≈ 6657 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "changelog"

Process rating: all ten parameters 69/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 60Tools and files. Uses tools (bash, read) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70Failures and branches. 5 branches
  • 70Execution cost. Instruction body is 6657 tokens
  • 100Steps. 47 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +3Description length 968: 120–800 characters recommended
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 47 items
  • +3Output format is stated explicitly

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This is a disclosed flight-assistance skill that stores local travel notes, with meaningful privacy considerations but no evidence of hidden, destructive, or exfiltrating behavior.
LLM: benign (medium) · VirusTotal: · 27 Jul 2026