A data interface for NCAA cross-country and track-and-field athletes, using public TFRRS profiles and news from The Stride Report. NCAA is the US college sports organisation, and TFRRS stores athletes’ competition results.

Use it to retrieve an athlete profile with personal records, eligibility year, school, season-by-season results, or to fetch recent cross-country and track-and-field news.

It avoids manually collecting athlete records, eligibility details, season results, and related news from different pages.

xctf-data — Skill for Claude Code and Codex by machina-sports

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add machina-sports/sports-skills --skill xctf-data

Clone the repo

git clone --depth 1 https://github.com/machina-sports/sports-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/machina-sports/sports-skills/xctf-data/github.svg)](https://agentmods.dev/skills/machina-sports/sports-skills/xctf-data)

Your own site

<a href="https://agentmods.dev/skills/machina-sports/sports-skills/xctf-data"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/xctf-data/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/machina-sports/sports-skills/xctf-data"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/xctf-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 186 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,471 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

Socket pass 1 Oct 2026
Snyk warn 1 Oct 2026
NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high YARA Match · line 27
YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).

Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00186	$0.02471
Opus 5.5	$0.00074	$0.00988
Sonnet 5.5	$0.00037	$0.00494
Haiku 4.5	$0.00019	$0.00247

Measured 9d ago against content hash 2eb6b8fa773e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

xctf-data scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate_params.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/xctf-data/SKILL.md · 184 lines

How it starts

The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.

XC/TF Data (TFRRS — NCAA Cross Country & Track and Field)

Before writing queries, consult references/api-reference.md for parameters, URL conventions, and return shapes.

Setup

Before first use, check if the CLI is available:

which sports-skills || pip install sports-skills

If pip install fails, install from GitHub:

pip install git+https://github.com/machina-sports/sports-skills.git

Requires Python 3.10+. No API keys required. All data comes from TFRRS public pages and The Stride Report RSS feed.

Quick Start

CLI (preferred):

sports-skills xctf get_athlete_profile --athlete_id=9230145 --school=BYU --name=Jane_Hedengren
sports-skills xctf get_news --limit=5

Python SDK:

from sports_skills import xctf

profile = xctf.get_athlete_profile(
    athlete_id="9230145",
    school="BYU",
    name="Jane_Hedengren",
)

CRITICAL: Before Any Query

All three parameters are required and must match the athlete's TFRRS URL exactly:

https://www.tfrrs.org/athletes/{athlete_id}/{school}/{name}.html

athlete_id — numeric ID (e.g. 9230145)
school — school slug with underscores, not spaces (e.g. BYU)
name — athlete name slug (e.g. Jane_Hedengren)

Do NOT guess slugs. Find them by navigating to the athlete on tfrrs.org and copying the URL.

Commands

Command	Description
`search_athlete`	Search the current team roster by name; returns `athlete_id`, `school`, and `name` slugs for use with `get_athlete_profile`. Searches both genders automatically. Current athletes only — graduated athletes require a direct TFRRS URL
`get_athlete_profile`	Athlete name, school, eligibility, all PRs, and full season-by-season meet results
`get_team_roster`	Full XC and/or TF roster for a team
`get_meet_results`	All event results and team scores from a TFRRS meet
`get_news`	Recent XC/TF articles from The Stride Report (thestridereport.com)

See references/api-reference.md for full parameter details and return shapes.

Read the full file on GitHub · 184 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

9d ago Changed · +19 lines 2eb6b8fa773e
1mo ago Changed · +2 lines 17fc001e94f9
2mo ago First seen · 163 lines · 186 tokens per session scan A 7c5f5777be30

Subscribe to this mod's changes

xctf-data is a skill published in the GitHub repository machina-sports/sports-skills (264 stars, last pushed yesterday), licensed MIT. It adds 186 tokens to every session and 2,471 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Research Scientific

xctf-data next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
xctf-datamachina-sports/sports-skills	Skill	264	yesterday	MIT	A	186	Claude Code, Codex
instrument-data-to-allotropeanthropics/knowledge-work-plugins	Skill	35k	2d ago	Apache-2.0	A	123	Claude Code
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matlabK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	44	Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	71	Claude Code, Codex
research-engineerdavila7/claude-code-templates	Skill	33k	yesterday	MIT	A	43	Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmed	Skill	5.8k	yesterday	Apache-2.0	A	205	Claude Code