Borrowing it
Nothing to install: this file belongs to hadidwirsty/intervals-icu-mcp. 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/hadidwirsty/intervals-icu-mcp/main/.agents/skills/calc-vdot/SKILL.mdgit clone --depth 1 https://github.com/hadidwirsty/intervals-icu-mcpWrote 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/hadidwirsty/intervals-icu-mcp/calc-vdot)<a href="https://agentmods.dev/skills/hadidwirsty/intervals-icu-mcp/calc-vdot"><img src="https://agentmods.dev/badge/skills/hadidwirsty/intervals-icu-mcp/calc-vdot/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/hadidwirsty/intervals-icu-mcp/calc-vdot"><img src="https://agentmods.dev/badge/skills/hadidwirsty/intervals-icu-mcp/calc-vdot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00051 | $0.00761 |
| Opus 5 | $0.00026 | $0.00380 |
| Sonnet 5 | $0.00010 | $0.00152 |
| Haiku 4.5 | $0.00005 | $0.00076 |
Grade A, and why
calc-vdot 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 2d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: /calc-vdot
Skill ini digunakan untuk menghitung VDOT (estimasi VO₂max) dan 5 Zona Pace Latihan dari hasil race atau sesi tempo menggunakan MCP tool calculate_vdot dan calculate_pace_zones.
Format Prompt Penggunaan
Dari hasil race:
/calc-vdot
- Hasil Race: [HH:MM:SS atau MM:SS] — [Jarak]
- Contoh: 45:30 — 10K
Dari threshold pace:
/calc-vdot threshold [MM:SS]/km
- Contoh: /calc-vdot threshold 5:30/km
Langkah Eksekusi Sistem
Step 1: Parse Input User
Ekstrak dari input user:
raceTime: Waktu race formatMM:SSatauHH:MM:SS.distance: Jarak dalam km (misal: 5, 10, 21.1, 42.2).- Jika mode threshold:
thresholdPacePerKmformatMM:SS.
Step 2: Panggil MCP Calculator Tools
Mode Race Result:
-
calculate_vdot:raceTime: Waktu race.distanceKm: Jarak dalam kilometer.
-
calculate_pace_zones:vdot: Hasil dari langkah 1.
Mode Threshold Pace:
calculate_pace_zoneslangsung:thresholdPacePerKm: Pace threshold per km.
Step 3: Generate VDOT & Pace Zone Report
### Hasil Kalkulasi VDOT
**Input**: [Waktu] — [Jarak] (atau Threshold Pace: [Pace])
**VDOT Score**: [X] ([Kategori: Beginner/Intermediate/Advanced/Elite])
### Zona Pace Latihan (Jack Daniels)
| Zona | Tipe Lari | Target Pace (/km) | Penggunaan |
|---|---|---|---|
| Easy | Recovery / Long Run | [X:XX – X:XX] | Lari santai, bisa ngobrol |
| Marathon | Race Pace HM/FM | [X:XX – X:XX] | Pace lomba maraton |
| Threshold | Tempo Run | [X:XX – X:XX] | Comfortably hard, 20–60 menit |
| Interval | VO₂max Reps | [X:XX – X:XX] | Repetisi 3–5 menit |
| Repetition | Speed Reps | [X:XX – X:XX] | Sprint 200–400m |
**Catatan**: [Bandingkan dengan threshold pace dan FTP yang terkonfigurasi di profil atlet]
Step 4: Kontekstualisasi ke Program Latihan Atlet
Setelah kalkulasi, berikan catatan singkat:
- Bandingkan Threshold Pace dari VDOT dengan nilai
threshold_pacedi profil atlet. - Apakah nilai FTP/CP di Intervals.icu sudah sesuai dengan performa race terkini?
- Rekomendasi: apakah CP/FTP perlu diupdate di Intervals.icu jika ada gap signifikan.
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.
- 2d ago First seen · 86 lines · 51 tokens per session scan A 954950cbe355
calc-vdot is a skill published in the GitHub repository hadidwirsty/intervals-icu-mcp (1 stars, last pushed 2d ago), licensed MIT. It adds 51 tokens to every session and 761 once invoked, about $0.0003 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 2026-09-10.
Other skills, from other repositories
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
matlab
Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.
exploratory-data-analysis
Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…
phylogenetics
Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
mapping-to-snomed
Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…