analyze-quantified-self-activity

analyze-quantified-self-activity is a skill for Codex from jimmykane/quantified-self. It costs 110 tokens per session (3,953 once invoked), scanned A, original, no licence file.

A read-only tool for examining authorized workouts and other recorded activities in Quantified Self data.

In plain words
What is it for?
Use it to review workout summaries, laps, pace, power, swim lengths, mountain-bike jumps, route traces, or activities near a location.
Why use it?
It gathers workout details that would otherwise require searching through activity records manually.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to review workout summaries, laps, pace, power, swim lengths, mountain-bike jumps, route traces, or activities near a location.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jimmykane/quantified-self/analyze-quantified-self-activity
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 jimmykane/quantified-self --skill analyze-quantified-self-activity
Clone the repo
git clone --depth 1 https://github.com/jimmykane/quantified-self

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.

agentmods badge for analyze-quantified-self-activity

README.md
[![agentmods](https://agentmods.dev/badge/skills/jimmykane/quantified-self/analyze-quantified-self-activity/github.svg)](https://agentmods.dev/skills/jimmykane/quantified-self/analyze-quantified-self-activity)
Your own site
<a href="https://agentmods.dev/skills/jimmykane/quantified-self/analyze-quantified-self-activity"><img src="https://agentmods.dev/badge/skills/jimmykane/quantified-self/analyze-quantified-self-activity/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 analyze-quantified-self-activity

Your own site · 80×15
<a href="https://agentmods.dev/skills/jimmykane/quantified-self/analyze-quantified-self-activity"><img src="https://agentmods.dev/badge/skills/jimmykane/quantified-self/analyze-quantified-self-activity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,953 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 $0.00110 $0.03953
Opus 5.5 $0.00044 $0.01581
Sonnet 5.5 $0.00022 $0.00791
Haiku 4.5 $0.00011 $0.00395

Measured 7d ago against content hash 368db6bbc982, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

analyze-quantified-self-activity 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 7d 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.

plugins/quantified-self/skills/analyze-quantified-self-activity/SKILL.md · 220 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

1 file 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. 7d ago Changed · +10 lines 368db6bbc982
  2. 9d ago Changed · +9 lines 921aeb0c0ad0
  3. 13d ago Changed · +4 lines 29978fead01f
  4. 16d ago Changed · +47 lines · +11 tokens per session b60ad5645b1c
  5. 18d ago Changed · +9 lines 7d86f9db2e9c
  6. 23d ago Changed · +11 lines 7ff5c75e9275
  7. 29d ago Changed · +7 lines · +9 tokens per session 994dac60a6d7
  8. 1mo ago Changed · +14 lines · +7 tokens per session 854047587b95
  9. 1mo ago Changed · +4 lines 09b70853647f
  10. 1mo ago First seen · 105 lines · 83 tokens per session scan A 057d1e7f38fb

Subscribe to this mod's changes

analyze-quantified-self-activity is a skill published in the GitHub repository jimmykane/quantified-self (235 stars, last pushed today), with no licence file. It adds 110 tokens to every session and 3,953 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.

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