Borrowing it
Nothing to install: this file belongs to Cenrax/researchswarm. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Cenrax/researchswarm/main/.claude/skills/paper-alignment-check/SKILL.mdgit clone --depth 1 https://github.com/Cenrax/researchswarmWrote 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/cenrax/researchswarm/paper-alignment-check)<a href="https://agentmods.dev/skills/cenrax/researchswarm/paper-alignment-check"><img src="https://agentmods.dev/badge/skills/cenrax/researchswarm/paper-alignment-check/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/cenrax/researchswarm/paper-alignment-check"><img src="https://agentmods.dev/badge/skills/cenrax/researchswarm/paper-alignment-check.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 | $0.00030 | $0.00465 |
| Opus 5 | $0.00015 | $0.00233 |
| Sonnet 5 | $0.00006 | $0.00093 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
paper-alignment-check 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 59 lines · 30 tokens per session scan A cee36e1ab9c3
paper-alignment-check is a skill published in the GitHub repository Cenrax/researchswarm (24 stars, last pushed 4mo ago), with no licence file. It adds 30 tokens to every session and 465 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.
Other skills, from other repositories
review-paper-code
Review research code for reproducibility and quality, extract the paper's main empirical claims, compare paper to code, and write a constructive markdown report. Designed for social science / economics projects with LaTeX papers and Stata, R, or Python code.
review-r
Read-only R code review protocol for .R scripts. Checks code quality, reproducibility, domain correctness, tidyverse idioms, and professional standards; produces a report without editing. Use when user says "review this R script", "check the R code", "audit the analysis code", "code review on the R", or when an R file…
paperlab_neqsim_api_claim_verification
Verify NeqSim API references in PaperLab books against Java source, tests, notebooks, and documented setup patterns. Use for code snippets, method names, constructor signatures, units, and API claims in book chapters.
aris-experiment-bridge
Code review focused on experiment integrity, not general code quality. Check reproducibility, config-driven design, baseline fairness, seed handling. Triggers: "review experiment code", "check implementation", "bridge review", "is this code reproducible", "audit experiment implementation".
workflows:review
Run multi-agent econometric review on estimation code, identification arguments, and research artifacts.
referee2
Systematic audit and review by Referee 2. Two modes — "deck" reviews slide presentations for rhetoric, visual quality, and compile cleanliness; "code" performs cross-language replication and econometric audit of empirical pipelines. Use when reviewing slides, auditing code, or verifying replication.