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 jimmykane/quantified-self --skill analyze-quantified-self-traininggit clone --depth 1 https://github.com/jimmykane/quantified-selfWrote 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/jimmykane/quantified-self/analyze-quantified-self-training)<a href="https://agentmods.dev/skills/jimmykane/quantified-self/analyze-quantified-self-training"><img src="https://agentmods.dev/badge/skills/jimmykane/quantified-self/analyze-quantified-self-training/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/jimmykane/quantified-self/analyze-quantified-self-training"><img src="https://agentmods.dev/badge/skills/jimmykane/quantified-self/analyze-quantified-self-training.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 | $0.00114 | $0.06387 |
| Opus 5.5 | $0.00046 | $0.02555 |
| Sonnet 5.5 | $0.00023 | $0.01277 |
| Haiku 4.5 | $0.00011 | $0.00639 |
Grade B, and why
analyze-quantified-self-training scanned grade B with 1 finding 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.
Subtle steeringmediumPrompt injection
Instructions that bias recommendations or shape behaviour without the user noticing.
needs a catalog refresh/rescan. Never tell the user to disconnect merely to add a permission. For the built-in Assistant, 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.
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.
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 Changed · +5 lines 5cdbd52be236
- 9d ago Changed · +9 lines f9276cb0c613
- 13d ago Changed · +48 lines af7b45680c3d
- 16d ago Changed · +36 lines · +4 tokens per session 39adf86430a7
- 17d ago Changed · +6 lines 3daa8b28da46
- 18d ago Changed · +28 lines 6c37e9058d14
- 21d ago Changed · +8 lines 5c0fc479d425
- 22d ago Changed · +14 lines 33839ce3820f
- 23d ago Changed · +17 lines 065a9f6d7874
- 28d ago First seen · 174 lines · 110 tokens per session scan B f65b7bf5b8ef
analyze-quantified-self-training is a skill published in the GitHub repository jimmykane/quantified-self (235 stars, last pushed today), with no licence file. It adds 114 tokens to every session and 6,387 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it B with 1 finding (subtle steering). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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