Updated 2w ago
by BootLoops-ai
skills
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 4.0 (text).
23 GitHub stars (23)
+23 in 16 days
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- 13 skills (13 skills found in its SKILL.md files)
- 7 forks (7 forks)
- 2w ago last update (Last updated 2w ago)
Install
Skills CLI
npx skills add BootLoops-ai/skills
Asks which skills and agents to install. Just one: npx skills add BootLoops-ai/skills --skill acceptance-gate — add -g for every project.
Claude Code
git clone https://github.com/BootLoops-ai/skillscp -r "skills/skills/acceptance-gate" ~/.claude/skills/
Copies the acceptance-gate skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add BootLoops-ai/skills
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
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acceptance-gate
The standard a computed result must meet before it may be called done. Use whenever an agent claims an integral is solved, a fit has closed, a formula is identified, or any quantitative answer is ready — the claim is not done until it passes this gate.
skills/acceptance-gate/SKILL.md on GitHub (opens in a new tab) -
constant-recognition
Discipline for integer-relation searches (PSLQ, LLL) that turn high-precision digits into exact constants. Use whenever recognizing a numerical value as a closed form, fitting boundary constants, or reporting that no closed form exists.
skills/constant-recognition/SKILL.md on GitHub (opens in a new tab) -
independence-bookkeeping
Provenance rules that keep checks independent. Use when setting up any comparison, oracle, or reference value — and whenever tempted to certify a result with machinery that helped produce it.
skills/independence-bookkeeping/SKILL.md on GitHub (opens in a new tab) -
lit-review
Deep literature review behind a research project's novelty claims — a protocol whose one job is to prevent shortcuts. It demands the papers be actually read (nothing from memory), makes thoroughness falsifiable (read ledgers, search receipts, gap statements), tracks citation chains in both directions, and lists the places to look. Use before any novelty claim ships, when writing or reviewing a re…
skills/lit-review/SKILL.md on GitHub (opens in a new tab) -
planted-truth
Synthetic-truth controls for analysis pipelines. Use before running any statistical fit, solver, audit, or search on real data — the pipeline must first prove it can recover a known planted answer and catch a deliberately corrupted input.
skills/planted-truth/SKILL.md on GitHub (opens in a new tab) -
prose-lint
use before circulating any scientific text, human- or LLM-drafted — a clarity and integrity linter: hype vocabulary, empty sentence structures, agentless prose, number discipline, and honesty failures; one pass is never enough.
skills/prose-lint/SKILL.md on GitHub (opens in a new tab) -
prove-protocol
Multi-agent protocol for proving or refuting mathematical statements. Use when trying to prove a mathematical statement with agents, when a claimed lemma keeps dying under scrutiny, or when the true statement itself is still unknown (theory-finding regime).
skills/prove-protocol/SKILL.md on GitHub (opens in a new tab) -
reading-contract
Sources-only discipline for any instrument or agent that reads documents and asserts facts from them — literature audits, record replays, data extraction, citation of prior work.
skills/reading-contract/SKILL.md on GitHub (opens in a new tab) -
ref-check
Careful bibliography verification and entry-addition for papers — verify every author, title, journal, volume, pages, year, arXiv ID, and DOI against authoritative online sources (INSPIRE, arXiv, CrossRef/DOI, zbMATH, publisher) before anything enters or stays in a .bib file. Use whenever adding bib entries, auditing a bibliography, checking citations, fixing references, or when asked to "check t…
skills/ref-check/SKILL.md on GitHub (opens in a new tab) -
referee-sim
Use before circulating any outward-facing scientific document — simulate the strongest standard objection from every audience it claims and verify the document answers each where that reader would look.
skills/referee-sim/SKILL.md on GitHub (opens in a new tab) -
timing-discipline
Compute-planning rules. Use before launching any calculation whose runtime is not already measured — and whenever an agent proposes a long run, an overnight grind, or a bigger machine as the way forward.
skills/timing-discipline/SKILL.md on GitHub (opens in a new tab) -
tool-stewardship
How the toolkit is consulted, extended, and documented. Use before writing any new code — and after, when a genuinely new instrument has earned its place.
skills/tool-stewardship/SKILL.md on GitHub (opens in a new tab) -
bootloops-setup
Set up the BootLoops protocol skills for this user. Use when the user asks to set up BootLoops, activate or install its skills, or asks what discipline the toolkit ships with. Presents the roster, asks which skills to activate, and installs only what the user chooses.
.claude/skills/bootloops-setup/SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.