AC infersports
Live football & basketball odds and scores from InferSports — who's favored, the live score, today's matches and what's worth watching, a specific day's schedule (in your timezone), a one-line pre-match brief, one normalized sharp betting line, the sharp de-vigged fair probability, the market-implied most likely scorelines, whether an external prediction-market (Polymarket/Kalshi) price is good vs that fair line, today's value spots (where a book beats the sharp fair line), odds-format conversion, and finished-match results. Use whenever the user asks about a match, the score, who's winning or favored, kickoff time, what's on or worth watching today, the fixtures on a specific day, a pre-match preview, a betting line or Asian handicap, the fair/de-vigged odds, the most likely score or correct-score probabilities, whether a Polymarket/Kalshi price is fair or good, where today's value/edges are, odds in another format, or a past result. Read-only; keyless, no account or API key needed.
Live football & basketball odds and scores from InferSports — who's favored, the live score, today's matches and what's worth watching, a specific day's…
As a process C 53/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice
How to improve
- 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: 32. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 53/100
- 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. 1 mutating operations with no state check
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 60Failures and branches. 2 branches
- 70When it triggers. States when to use, but not when not to
- 85Steps. 12 steps, 1 vague phrases
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3084 tokens
- 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
- low The response is described with custom markup (6 tags): a typed call is more reliable
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
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 998: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -32 of 14 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +4Structure: 11 headings
- +3Step-by-step instructions: 12 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.