
bootloops-ai/skills
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BootLoops skills: working protocols and research skills for trustworthy quantitative work with AI agents, as plain-markdown Agent Skills and Claude Code / Codex plugins. MIT (scripts), CC BY 4.
概要
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.
README
以下は原文 README の抜粋です。原文を見る。
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
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インストール
npx skillfish add bootloops-ai/skills