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 niels-emmer/myace --skill experiment-trackinggit clone --depth 1 https://github.com/niels-emmer/myaceWrote 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/niels-emmer/myace/experiment-tracking)<a href="https://agentmods.dev/skills/niels-emmer/myace/experiment-tracking"><img src="https://agentmods.dev/badge/skills/niels-emmer/myace/experiment-tracking/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/niels-emmer/myace/experiment-tracking"><img src="https://agentmods.dev/badge/skills/niels-emmer/myace/experiment-tracking.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 | $0.00027 | $0.00327 |
| Opus 5 | $0.00014 | $0.00163 |
| Sonnet 5 | $0.00005 | $0.00065 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
Experiment Tracking 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 9d 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.
What it actually says
Purpose
Ensure every experiment is reproducible from its logged state alone.
When to use it
Every training run, every data transformation, every evaluation.
Checklist
- Run naming:
{date}-{objective}-{attempt}(e.g.2026-08-12-classifier-lr-search-03). - Seed everything: numpy, python
random, torch, tensorflow — log which seeds were used. - Log parameters: hyperparameters, data splits, preprocessing choices, model architecture.
- Log metrics: final metrics per split (train/val/test), per-epoch metrics if relevant.
- Log artifacts: model weights, predictions, feature importance plots, confusion matrices.
- Log environment: Python version, dependency versions (lockfile or
pip freeze), git commit hash. - Compare runs: use the tracker's comparison view or export to a structured format.
- Recover: from a logged run, you should be able to reproduce the exact result.
Expected output
A tracked run that another person or agent can reproduce without asking the original author for details.
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.
- 9d ago First seen · 31 lines · 27 tokens per session scan A 3d1838b272a0
Experiment Tracking is a skill published in the GitHub repository niels-emmer/myace (1 stars, last pushed 5d ago), licensed MIT. It adds 27 tokens to every session and 327 once invoked, about $0.0001 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 2026-09-03.
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