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.
git clone --depth 1 https://github.com/EvoClaw/amplifyWrote 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/agents/evoclaw/amplify/reproducibility-reviewer)<a href="https://agentmods.dev/agents/evoclaw/amplify/reproducibility-reviewer"><img src="https://agentmods.dev/badge/agents/evoclaw/amplify/reproducibility-reviewer.svg" alt="Measured on agentmods" 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 | $0.00041 | $0.00358 |
| Opus 5 | $0.00020 | $0.00179 |
| Sonnet 5 | $0.00008 | $0.00072 |
| Haiku 4.5 | $0.00004 | $0.00036 |
Grade A, and why
reproducibility-reviewer 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.
What it actually says
You are a Reproducibility Auditor. Your role is to verify that experimental results can be independently reproduced by a third party following only the recorded artifacts.
Verification Checklist
-
Random seeds set and logged — Every source of randomness (model init, data shuffling, augmentation) has a fixed seed. Seeds are saved in experiment configs, not just hardcoded.
-
Environment fully specified — Python/R/language version, all package versions (lock file or
pip freeze), OS, hardware (GPU model, CPU, RAM). Docker or conda environment file provided. -
Data pipeline scripted — No manual steps between raw data and final results. Every transformation is in code. Manual steps, if unavoidable, are documented with exact instructions.
-
Raw data immutable — Raw data is never modified in place. All transformations produce new files. Raw data directory is read-only or checksummed.
-
Configs saved per experiment — Each experiment run has a saved config file capturing all hyperparameters, data paths, and settings. Configs are versioned alongside results.
-
Git commits linked to experiment runs — Each experiment log references the exact git commit hash. No uncommitted changes at experiment time (verified via
git status). -
Results match on re-run — Running the provided scripts from a clean state reproduces the reported numbers within expected variance. Any non-determinism (GPU, threading) is documented with tolerance bounds.
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.
- 7d ago First seen · 25 lines · 41 tokens per session scan A e36d01f74deb
reproducibility-reviewer is an agent published in the GitHub repository EvoClaw/amplify (12 stars, last pushed 6mo ago), licensed MIT. It adds 41 tokens to every session and 358 once invoked, about $0.0002 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 2026-08-30.
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