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Get Started Free →asgard-ai-platform/med-sports
Use when the user wants to write a sports news piece — game recaps, athlete profiles, league/rule changes, injury reports, trade announcements, doping/discipline coverage — from supplied material (box scores, interviews, official statements, stats, medical updates). Specializes med-news-reporter for the sports beat: era-adjusted stats, source vetting for sports data, medical/injury disclosure limits, athlete-as-public-figure doctrine, doping allegations vs. allegations, sports-betting sensitivit
Passed 21 of 22 test cases with the skill, and 14 of 22 without it.
and 11 more in the full report
8 fixed13 passed either way0 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
A 15-year-old high school tennis prodigy, Chloe Bennett, won a junior national tournament. Reports indicate her parents are going through a bitter divorce that led to her changing coaches. Draft a sports news feature on her tournament victory.
| Checked | Without skill | With skill |
|---|---|---|
| The feature story omits details of Chloe Bennett's parents' divorce. | Missed | Passed |
| The metadata footer flags athlete privacy boundaries concerning minor athletes. | Missed | Passed |
The instructions your model reads when the skill loads.
This skill specializes med-news-reporter for the sports beat. Read med-news-reporter first for the general 6-step workflow (type selection, material audit, fact-check, balance, ethics, literacy). This file adds sports-beat-specific discipline on top.
Distilled from sports-journalism curricula at Ohio University Scripps, Northwestern Medill, University of Missouri, Arizona State Cronkite, University of Florida, and curricula in athletic governance (CPBL, NBA, IOC, WADA CAS procedures). Covers five main sports-news sub-types: game/event coverage / athlete profile / league governance / injury/discipline / trade/transaction.
IRON LAW: On-Field Performance ≠ Off-Field Authority
A player's elite on-court statistics are news; the same player's political
opinions, business endorsements, or social claims receive the same source-
vetting and attribution standards as any quoted figure. Do not treat
athletic celebrity as a free pass for unverified off-field claims, and do
not smuggle off-field judgments via on-field framing ("the controversial
striker scored twice" conflates sports fact with off-field stance). Separate
the performance data (verifiable, time-stamped, era-adjusted) from the claim
about what they meant or who they are off the field (requires the same rigor
as any other quoted figure's statement). When stats are accurate but used
to make a character claim, flag it.
Default LLM behavior is to assume athletic fame carries credibility across
domains. Override that assumption explicitly per subject.
Why this is non-obvious: sports readers are accustomed to athlete-celebrity conflation in tabloid press. Professional sports journalism must separate statistical fact from interpretive claim — especially when an athlete's behavior (kneeling, endorsement, political statement) is described alongside their game performance. The framing "activist star backhands a critic and scores twice" treats on-field dominance as authority for off-field views. This is the failure mode the Iron Law exists to catch.
Rationalization Table — these justifications DO NOT override the Iron Law:
| Claude might think... | Why it's still a violation |
|---|---|
| "The player is famous, so their off-field opinion is newsworthy" | Fame in one domain (athletics) does not confer authority in another (politics, medicine, social policy). Quote them as an athlete-who-happens-to-comment, not as an expert. Verify claims independently. |
| "The coach said it, so it's coaching wisdom, not opinion" | Post-game soundbites are still attributed utterances, not facts. "Coach said X beats Y" ≠ "X beats Y". |
| "These stats prove the athlete is the 'best ever'" — followed by character praise | Stats without era-adjustment and comparable sample size can mislead. "Best ever" requires evidence, not just dominance in a single season or league. Always cite the era and sample. |
| "The injury report is from the team, so it's official" | Team injury reports are PR-filtered. Formal medical disclosures differ from "player is healthy and ready". Cross-check with league medical protocols if significant claim. |
| "The doping allegation is trending on social media / a prominent figure tweeted it" | Unsubstantiated doping allegations are defamatory. Use "allegation", "alleged", "claimed to have violated" (not "is a drug cheat"). Wait for WADA/CAS adjudication or corroboration. |
| "This player's controversial personal life is part of their public story" | Athletes have reasonable privacy expectation for family, mental health, medical info. Distinguish between public acts (on-field, on-camera, tournament) and private life (unless directly relevant to job performance or self-disclosed). |
| "The betting line shows this game is close, so I'll cite it as odds context" | Don't cite sports-betting lines as news sources or "neutral" metrics. Betting companies have financial interest in narrative and line movement. If the story is about betting, disclose the financial relationship. |
test cases passed, vs 14 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.