BootLoops 1.0은 큰 언어 모델을 위한 하네스입니다. 정량 과학. 그것은 2개의 반 있습니다. 컴퓨팅 패키지, 포트 및 엔진 업그레이드는 자체 저장소에 살고있는 툴킷입니다. bootloops, 같은 조직에 의해 이 것 외에 출판. 이 저장소, skills, 다른 절반: 프로그램의 작업 프로토콜, 독립 명령 파일로 작성된 LLM 에이전트는 로드 및 후속, 플러스 Claude Code 및 Codex 플러그인으로 포장. 프로토콜은 훨씬 a 패키지로 하네스의 일부 : 코드 공급 능력, 이러한 출력을 신뢰할 수 있는 분야를 공급합니다.

이 기술은 에이전트 스킬에 일반 마작입니다. format (a SKILL.md with frontmatter: name, when to use, self-contained body), Claude 부호 및 다른 대리인 공구의 수가 읽는 체재. 아무도는 어떤 개인 인프라에 의존하고, 그들은 모든 것을 썼습니다. 가능한 대리인은 그(것)들을 따를 수 있습니다. 그들은 "done"가 의미하는 것을 인코딩합니다 : 결과가 재현합니다. 점에서 독립적 인 경로는 이제까지 보았습니다. 긍정적 인 통제가 있습니다. 체크는 실패할 수 있습니다; 일정한 반지를 가진 정수 관계 분야

BootLoops skills

BootLoops 1.0 is a harness for large language models doing precision quantitative science. It has two halves. The computing packages, ports and engine upgrades are the toolkit, which lives in its own repository, bootloops, published beside this one by the same organization. This repository, skills, is the other half: the working protocols of the program, written as standalone instruction files an LLM agent can load and follow, plus their packaging as Claude Code and Codex plugins. The protocols are as much a part of the harness as the packages: the code supplies capability, these supply the discipline that makes its output trustworthy.

The skills are plain markdown in the Agent Skills format (a SKILL.md with frontmatter: name, when to use, and a self-contained body), the format that Claude Code and a number of other agent tools read. None depends on any private infrastructure, and they are written so that any capable agent can follow them. They encode what “done” means: a result reproduces an independent route at points no fit ever saw, with a positive control proving the check can fail; integer-relation discipline with the constant ring declared before the search and refusal over invention when no relation is found; planted-truth controls that recover a known answer before any real data is touched; provenance bookkeeping so no oracle that fed a fit ever certifies the result; timing discipline (measure a small run before a big one); and the heavier protocols for proving with agents, simulating referees, auditing the literature behind a novelty claim, verifying bibliographies, and linting scientific prose for hype and honesty failures.

The roster

Twelve skills in two groups; skills/README.md has one line per skill on what each governs.

• The protocol layer (general purpose; load these for any quantitative work): acceptance-gate, constant-recognition, planted-truth, independence-bookkeeping, timing-discipline, reading-contract, tool-stewardship.
• The research skills (heavier machinery for specific kinds of work): prove-protocol, referee-sim, lit-review, ref-check, prose-lint.

The two groups are also the two plugins, bootloops-protocols and bootloops-research.

Scope and responsibility

These protocols make agent-produced results checkable; they do not replace review by a qualified person. The verdict labels used in the skills (CLOSED, VERIFIED-CLOSED) are internal grades; every BootLoops result was reviewed by the author before release.

Repository map

• skills/: the library, one directory per skill. This is the single source of truth; every other copy in the repository is generated from it.
• .claude/skills/bootloops-setup/: the installer skill, the only skill that is active when you open Claude Code