powerlifting-coef-calc

powerlifting-coef-calc is a skill for Claude Code, Codex from EtaYang10th/spark-skills. It costs 0 tokens per session (5,152 once invoked), scanned A, original, no licence file.

A workflow for calculating Dots coefficients from International Powerlifting Federation competition data stored in Excel workbooks. A Dots coefficient adjusts lifting totals to compare performances across body weights.

In plain words
What is it for?
Use it to compute Dots values for IPF powerlifting records in .xlsx files.
Why use it?
It removes manual coefficient calculations and the need to extract competition data from spreadsheets by hand.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to compute Dots values for IPF powerlifting records in .xlsx files.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/etayang10th/spark-skills/powerlifting-coef-calc
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 EtaYang10th/spark-skills --skill powerlifting-coef-calc
Clone the repo
git clone --depth 1 https://github.com/EtaYang10th/spark-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.

agentmods badge for powerlifting-coef-calc

README.md
[![agentmods](https://agentmods.dev/badge/skills/etayang10th/spark-skills/powerlifting-coef-calc/github.svg)](https://agentmods.dev/skills/etayang10th/spark-skills/powerlifting-coef-calc)
Your own site
<a href="https://agentmods.dev/skills/etayang10th/spark-skills/powerlifting-coef-calc"><img src="https://agentmods.dev/badge/skills/etayang10th/spark-skills/powerlifting-coef-calc/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.

agentmods 80×15 button for powerlifting-coef-calc

Your own site · 80×15
<a href="https://agentmods.dev/skills/etayang10th/spark-skills/powerlifting-coef-calc"><img src="https://agentmods.dev/badge/skills/etayang10th/spark-skills/powerlifting-coef-calc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,152 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.05152
Opus 5 $0.00000 $0.02576
Sonnet 5 $0.00000 $0.01030
Haiku 4.5 $0.00000 $0.00515

Measured 12d ago against content hash ce1efefc0538, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

powerlifting-coef-calc 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 12d 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.

spark_skills_gen/skills_gen_result/all_model_pdi/powerlifting-coef-calc/SKILL.md · 504 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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.

  1. 12d ago First seen · 504 lines · 0 tokens per session scan A ce1efefc0538

Subscribe to this mod's changes

powerlifting-coef-calc is a skill published in the GitHub repository EtaYang10th/spark-skills (111 stars, last pushed 3mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 5,152 tokens. 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.

Related

Other skills, from other repositories

publication-chart-skill

This skill should be used when the user asks for a publication-quality scientific figure or table, wants help choosing the right chart for results, needs a paper-ready pubfig or pubtab workflow, wants a figure + companion table for a results section, wants an Excel sheet turned into publication-ready LaTeX, or wants…

Galaxy-Dawn/claude-scholar · 77 tokens

csv-export

Export curing simulation results to CSV with node coordinates and displacements. Invoke when user needs CSV output, data export, or result comparison.

Cai-aa/CAE-Agent-Hub · 0 tokens

neqsim-technical-document-reading

Reads and extracts structured engineering data from technical documents (PDFs, Word, Excel, CSV) and engineering images/drawings (P&IDs, vendor datasheets, mechanical arrangements, performance maps). USE WHEN: a user provides engineering documents or images — equipment data sheets, technical requirements, design…

equinor/neqsim · 146 tokens

evo-protein-expression-analysis

Use when populating Excel workbooks for quantitative proteomics tasks - computing expression lookups, group statistics, and log2 fold-change values using Python and writing numeric results via openpyxl while preserving cell formatting. Handles two-sheet workbooks (Task + Data) with 2D protein×sample expression…

OpenLAIR/OpenSkill · 69 tokens

evo-proteomics-excel-formulas

Use when populating Excel workbooks for quantitative proteomics tasks - writing INDEX/MATCH lookups, AVERAGE/STDEV.S group statistics, and log2 fold-change formulas while preserving cell formatting via openpyxl 3.1.5.

OpenLAIR/OpenSkill · 60 tokens

evo-wigner-csv-export

Computes the Wigner function of a bosonic density matrix on a specified phase-space grid using QuTiP and exports the result as a CSV file.

OpenLAIR/OpenSkill · 39 tokens