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.
npx skills add mickpletcher/AI-Skills --skill obsidian-workout-exportgit clone --depth 1 https://github.com/mickpletcher/AI-SkillsWrote 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/mickpletcher/ai-skills/obsidian-workout-export)<a href="https://agentmods.dev/skills/mickpletcher/ai-skills/obsidian-workout-export"><img src="https://agentmods.dev/badge/skills/mickpletcher/ai-skills/obsidian-workout-export/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/mickpletcher/ai-skills/obsidian-workout-export"><img src="https://agentmods.dev/badge/skills/mickpletcher/ai-skills/obsidian-workout-export.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 | $0.00087 | $0.01520 |
| Opus 5.5 | $0.00035 | $0.00608 |
| Sonnet 5.5 | $0.00017 | $0.00304 |
| Haiku 4.5 | $0.00009 | $0.00152 |
Grade A, and why
obsidian-workout-export 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 1mo 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Obsidian Workout Export Skill
Intent
Convert workout session data into clean Obsidian-ready Markdown logs with body stats, session details, PRs, and notes.
Use When
- The user explicitly asks for
obsidian-workout-export. - The request matches the triggers or workflow described below.
- The task benefits from a reusable, structured output instead of a one-off answer.
Do Not Use When
- Do not use for programming future training blocks, diagnosing injuries, or inventing workout details missing from the source.
- Required context is missing and cannot be reasonably inferred.
- A more specific skill in this repo is a better match.
Validation Checklist
- The output matches the skill's intended task and platform.
- Required inputs, assumptions, and uncertainty are explicit.
- Safety, scope, and source limits are respected.
- The response follows the requested format or the skill's default output format.
- The result is practical enough to use without another cleanup pass.
Export logged workout sessions into Markdown files for an Obsidian WorkoutData/ folder.
Primary Trigger
Use this skill immediately when the user types owd in a chat that contains workout data.
Other triggers:
export workoutobsidian workoutsave workout to obsidianworkout to obsidianlog to obsidian
Workflow
1. Locate the workout data
Always check the current conversation first. If the current chat already contains logged workout data such as exercises, sets, reps, weights, or body stats, use it directly instead of searching older history.
If the current chat does not contain workout data, search the most recent prior session using workout-related terms such as:
workout log sets repsleg press chest press fitnessDay 1 Day 2 upper lower workout
Use the date of the chat that contains the workout data as the filename date.
2. Extract all available session data
What ships with it
4 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.
- 1mo ago First seen · 200 lines · 87 tokens per session scan A 76d67647fcb9
obsidian-workout-export is a skill published in the GitHub repository mickpletcher/AI-Skills (20 stars, last pushed today), licensed MIT. It adds 87 tokens to every session and 1,520 once invoked, about $0.0003 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.
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