What is fit-ride-studio?

A tool for analysing FIT or KML activity tracks, which are recorded routes from cycling, running, or hiking activities.

Use it to create reports for individual or combined activities, inspect local route-report pages, and produce PNG or H.264 MP4 route stories.

It turns raw route files into evidence-based reports and shareable route stories, with optional public location context confirmed by the user.

fit-ride-studio — Skill for Codex by op7418/guizang-sports-skill

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 op7418/guizang-sports-skill --skill guizang-sports-skill

Clone the repo

git clone --depth 1 https://github.com/op7418/guizang-sports-skill

Made for: 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/op7418/guizang-sports-skill/guizang-sports-skill/github.svg)](https://agentmods.dev/skills/op7418/guizang-sports-skill/guizang-sports-skill)

Your own site

<a href="https://agentmods.dev/skills/op7418/guizang-sports-skill/guizang-sports-skill"><img src="https://agentmods.dev/badge/skills/op7418/guizang-sports-skill/guizang-sports-skill/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/op7418/guizang-sports-skill/guizang-sports-skill"><img src="https://agentmods.dev/badge/skills/op7418/guizang-sports-skill/guizang-sports-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 106 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,374 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.

Origin unknown 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	$0.00106	$0.02374
Opus 5.5	$0.00042	$0.00950
Sonnet 5.5	$0.00021	$0.00475
Haiku 4.5	$0.00011	$0.00237

Measured 2mo ago against content hash 500fcc53694a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fit-ride-studio 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 2mo ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/analyze-fit.mjs, scripts/check-export-config.mjs, scripts/check-install.mjs, …), 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.

SKILL.md · 154 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

10 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.

2mo ago First seen · 154 lines · 106 tokens per session scan A 500fcc53694a

Subscribe to this mod's changes

fit-ride-studio is a skill published in the GitHub repository op7418/guizang-sports-skill (151 stars, last pushed 2mo ago), licensed AGPL-3.0. It adds 106 tokens to every session and 2,374 once invoked, about $0.0004 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.

Analytics and metrics Claude Code activity-tracker agent-skill ai-agent claude-skill codex

fit-ride-studio next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
fit-ride-studioop7418/guizang-sports-skill	Skill	151	2mo ago	AGPL-3.0	A	106	Codex
os-check-workkharmanskyi/open-steps	Skill	1.3k	1mo ago	MIT	A	118	Claude Code
os-done-or-notkharmanskyi/open-steps	Skill	1.3k	1mo ago	MIT	A	136	Claude Code
os-step-by-stepkharmanskyi/open-steps	Skill	1.3k	1mo ago	MIT	A	180	Claude Code
os-what-could-go-wrongkharmanskyi/open-steps	Skill	1.3k	1mo ago	MIT	A	149	Claude Code
os-whats-nextkharmanskyi/open-steps	Skill	1.3k	1mo ago	MIT	A	155	Claude Code
os-big-picturekharmanskyi/open-steps	Skill	1.3k	1mo ago	MIT	A	180	Claude Code