Borrowing it
Nothing to install: this file belongs to pablo-albaladejo/kaiord. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/pablo-albaladejo/kaiord/main/.claude/skills/generate-gcn/SKILL.mdgit clone --depth 1 https://github.com/pablo-albaladejo/kaiordWrote 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.
[](https://agentmods.dev/skills/pablo-albaladejo/kaiord/generate-gcn)<a href="https://agentmods.dev/skills/pablo-albaladejo/kaiord/generate-gcn"><img src="https://agentmods.dev/badge/skills/pablo-albaladejo/kaiord/generate-gcn/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.
<a href="https://agentmods.dev/skills/pablo-albaladejo/kaiord/generate-gcn"><img src="https://agentmods.dev/badge/skills/pablo-albaladejo/kaiord/generate-gcn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00042 | $0.02107 |
| Opus 5 | $0.00021 | $0.01053 |
| Sonnet 5 | $0.00008 | $0.00421 |
| Haiku 4.5 | $0.00004 | $0.00211 |
Grade A, and why
generate-gcn scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate a valid Garmin Connect (.gcn) workout INPUT JSON file from a natural language workout description.
CRITICAL: Generate INPUT format (what Garmin Connect API accepts), NOT output format. Only include required and relevant fields. Do NOT include server-generated fields like workoutId, ownerId, author, createdDate, updatedDate, shared, sharedWithUsers, or any field set to null that is optional.
Instructions
- Parse the user's natural language workout description ($ARGUMENTS)
- Identify sport type, steps, durations, targets, and repeat blocks
- Generate valid GCN INPUT JSON following the schema below
- Write the file to disk with
.gcnextension
If the user doesn't specify an output filename, derive one from the workout name in kebab-case (e.g., sweet-spot-intervals.gcn).
Sport Type Detection
Infer from context. Default to cycling if ambiguous.
| Sport | sportTypeId | sportTypeKey |
|---|---|---|
| Running | 1 | "running" |
| Cycling | 2 | "cycling" |
| Swimming | 4 | "swimming" |
| Multisport | 10 | "multi_sport" |
Multisport detection
If the user describes any of: multisport / multi-sport, brick, triathlon / triatlón, duathlon / duatlón, aquathlon, transitions / transiciones, OR a single workout that alternates between two or more sports — switch to multisport mode and read multisport.md before generating the JSON. Multisport has its own segment-composition, target-ordering, and stepOrder rules; following the single-sport templates in reference.md will produce a workout that Garmin's server silently corrupts.
Step Types (Intensity)
| Intensity | stepTypeId | stepTypeKey |
|---|---|---|
| Warmup | 1 | "warmup" |
| Cooldown | 2 | "cooldown" |
| Interval/Work | 3 | "interval" |
| Recovery | 4 | "recovery" |
| Rest | 5 | "rest" |
| Repeat (internal) | 6 | "repeat" |
What ships with it
3 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.
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.
- 11d ago First seen · 177 lines · 42 tokens per session scan A 0542e04161a2
generate-gcn is a skill published in the GitHub repository pablo-albaladejo/kaiord (9 stars, last pushed 2d ago), licensed MIT. It adds 42 tokens to every session and 2,107 once invoked, about $0.0002 per session on Opus 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 2026-08-31.
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