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 fcakyon/phd-skills --skill reproducegit clone --depth 1 https://github.com/fcakyon/phd-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/fcakyon/phd-skills/reproduce)<a href="https://agentmods.dev/skills/fcakyon/phd-skills/reproduce"><img src="https://agentmods.dev/badge/skills/fcakyon/phd-skills/reproduce/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/fcakyon/phd-skills/reproduce"><img src="https://agentmods.dev/badge/skills/fcakyon/phd-skills/reproduce.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00075 | $0.00972 |
| Opus 5.5 | $0.00030 | $0.00389 |
| Sonnet 5.5 | $0.00015 | $0.00194 |
| Haiku 4.5 | $0.00007 | $0.00097 |
Grade A, and why
reproduce 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 14d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reproduce: paper reproduction from scratch
Reproducing an ML paper often means filling gaps the authors didn't ship, training scripts, hyperparameter tables, augmentation specifics, exact dataset splits. This skill walks seven stages from "I have an arxiv link" to "I have a replication run with measurable delta vs the paper's number."
Each stage has a separate reference file under references/ so this overview stays scannable.
When to run
The user just said any of:
- "reproduce / implement / replicate / re-run paper X"
- pasted an arxiv URL with reproduction intent ("can you redo this", "let's try this approach")
- pointed at an OpenReview / proceedings link with the same intent
- said "the paper has no code, can we build it"
Workflow
| Stage | What | Reference |
|---|---|---|
| 1 | Paper acquisition (CLI + PDF → structured extract) | references/01-paper-fetch.md |
| 2 | Existing code discovery + inventory | references/02-code-clone.md |
| 3 | Gap analysis (extract every missing hyperparam from the prose) | references/03-gap-analysis.md |
| 4 | Implementation (uv venv, fill gaps, commit per gap) | references/04-implement.md |
| 5 | Dataset acquisition (HF datasets first; substitute if private) | references/05-dataset.md |
| 6 | Smoke runs (forward pass → 1 step → 20 iters) | references/06-smoke.md |
| 7 | Replication runs + comparison at paper's reported epochs | references/07-replicate.md |
What ships with it
7 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.
- 14d ago Changed 9753115dc8d0
- 1mo ago First seen · 70 lines · 75 tokens per session scan A 2c9b2c8635eb
reproduce is a skill published in the GitHub repository fcakyon/phd-skills (433 stars, last pushed 14d ago), licensed MIT. It adds 75 tokens to every session and 972 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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