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 AlexShchuka/neuro-matrix --skill paper-to-codegit clone --depth 1 https://github.com/AlexShchuka/neuro-matrixWrote 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/alexshchuka/neuro-matrix/paper-to-code)<a href="https://agentmods.dev/skills/alexshchuka/neuro-matrix/paper-to-code"><img src="https://agentmods.dev/badge/skills/alexshchuka/neuro-matrix/paper-to-code/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/alexshchuka/neuro-matrix/paper-to-code"><img src="https://agentmods.dev/badge/skills/alexshchuka/neuro-matrix/paper-to-code.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 | $0.00065 | $0.00857 |
| Opus 5 | $0.00032 | $0.00428 |
| Sonnet 5 | $0.00013 | $0.00171 |
| Haiku 4.5 | $0.00006 | $0.00086 |
Grade A, and why
paper-to-code 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.
How it starts
The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paper-to-code: implementation without invention
BLUF: the paper is the only source of truth; every implementation decision is either anchored to it or explicitly flagged as our choice. The dominant failure mode is silent gap-filling — plausible defaults presented as the paper's content. That is neuroslop in code form, and this skill exists to make it structurally impossible.
Stage 0 — acquire the full text
- Prefer arxiv-mcp tools (
download_paper/read_paper) when available; otherwise WebFetch the abstract page and PDF. - Appendices, footnotes, table captions, and figure captions are first-class sources — missing hyperparameters usually live there, not in the method section.
- If the authors published official code, locate it; it is a second, separately-tagged source — never a silent one.
Stage 1 — ambiguity audit, before any code
Classify every implementation-relevant decision; the tags below are this skill's specialization of the harness claim-typing discipline (epistemic boundary: confirmed ≠ associative):
| Tag | Meaning | Obligation |
|---|---|---|
FACT §X.Y / Eq. N |
stated in the paper | anchor to the exact section/equation |
PARTIAL §X.Y |
mentioned but ambiguous | quote the passage verbatim, list the readings |
UNSPECIFIED |
paper is silent | our default + alternatives, never filled silently |
ASSUMPTION |
inference from context | reasoning stated next to it |
FROM-CODE |
taken from the authors' implementation | tagged as code-derived, not paper-derived |
QUESTION |
load-bearing gap that cannot be defaulted safely | ask the developer before coding — not a guess |
A QUESTION blocks its code path until answered (mental model gate).
Stage 2 — implementation
- Non-trivial decisions carry their
§/Eq.anchor in the audit table; inline flags ([UNSPECIFIED],[ASSUMPTION]) appear only at load-bearing lines. These are constraint provenance the code cannot show by itself — not decoration, so they do not conflict with the no-decoration rule (invariant #9). - Variable names follow paper notation where that stays readable.
- Standard components are imports: "standard transformer encoder" means a library call plus a dependency note, never a rewrite.
- Scope is the core contribution only, unless training / data / evaluation pipelines are explicitly requested. No baselines, no infrastructure beyond what the contribution needs.
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 · 52 lines · 65 tokens per session scan A 446d2821ae7d
paper-to-code is a skill published in the GitHub repository AlexShchuka/neuro-matrix (3 stars, last pushed 2mo ago), licensed MIT. It adds 65 tokens to every session and 857 once invoked, about $0.0003 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 2026-08-31.
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