Mathlib Quality

REVIEW · 67
Community indexed

Claude Code skill plugin for cleaning up, golfing, and bringing Lean 4 code up to mathlib standards

Downloads0
Stars27
Version1.0.0
Quality72/100 · Strong
Trust67/100 · Sandbox only
Audit81/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add CBirkbeck/mathlib-quality

Maintenance

fresh

Pushed today

Risk

Needs review

Low GitHub adoption signal

GitHub quality

27

72/100 Quality · 75/100 Trust

Coverage tags

CodingCoding agentscoding-agentslean4mathlib

Review notes

Low GitHub adoption signal · Quality score needs review

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Strong
72

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
67

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
81

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

ShellCodexClaude CodeCursorOpenAgentSkill CLI

Stars

27 GitHub stars

Repo activity

27 stars, 3 forks

Maintenance

Pushed today

License

MIT

Install

npx skills add CBirkbeck/mathlib-quality

Install safety

standard package or runtime install path

Permission surface

shell or command execution, network or browser access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 27 GitHub stars
  • Stars/forks activity: 27 stars, 3 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Coding agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect source files

Suited agents

ShellCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add CBirkbeck/mathlib-quality
Policy
review
Human review
yes

Trust and risk

Trust
67/100
Audit
81/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add CBirkbeck/mathlib-quality

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet
  • High-risk permission hints: Shell or command execution

Agent safety v2

57/100 · Review before install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

  • High-risk permission hints: Shell or command execution
  • Low GitHub adoption signal

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add CBirkbeck/mathlib-quality

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Mathlib Quality in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Mathlib%20Quality%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/cbirkbeck-mathlib-quality/install
Install command: npx skills add CBirkbeck/mathlib-quality
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use Mathlib Quality for this task. Review https://www.openagentskill.com/api/skills/cbirkbeck-mathlib-quality/install, then install with: npx skills add CBirkbeck/mathlib-quality

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

71/100

Coding agents

Platforms

Shell, Claude Code

Audit report

Needs review · 81/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Coding agents

Prototype with this skill first; keep a fallback candidate ready.

71
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Coding agents

Trust label

Prototype first

Install path

Command ready

Use when

  • Coding agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 72/100 quality profile

review first

  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Coding agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

67
OpenAgentSkill Trust Score

GitHub adoption

CHECK

27 GitHub stars

Stars/forks activity

CHECK

27 stars, 3 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

Pushed today

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 27 GitHub stars
  • Stars/forks activity: 27 stars, 3 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

72
GitHub stars
27
Freshness
Today
Install ready
Yes
License
MIT
Review before install: Low GitHub adoption signal

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

# mathlib-quality

A [Claude Code](https://docs.anthropic.com/en/docs/claude-code) skill plugin for developing, proving, cleaning up, and bringing Lean 4 code up to [mathlib](https://github.com/leanprover-community/mathlib4) standards.

Twenty-two commands spanning the whole workflow: **plan → prove → cleanup → assess mathlib-fit → blueprint → self-review → PR**. Every workflow is methodical, phase-numbered, and gated (missing artifacts fail the step); mathematical judgement is enforced through required evidence rather than through post-hoc review.

## Sibling: [`MQSlim`](https://github.com/CBirkbeck/MQSlim)

A [parallel slim plugin](https://github.com/CBirkbeck/MQSlim) that shadows this one — same workflows, same load-bearing rails, restated in the "trust frontier- model judgement; minimal instructions" style Anthropic's skill-authoring guide explicitly recommends. Load both together and pick per task by typing `/cleanup` (verbose, gated) vs. `/clnup` (slim). MQSlim tests the hypothesis that frontier models produce better output when the prompts state the goal + the gates that catch real failures, and then get out of the way.

## What It Does

### Develop New Mathematics — Plan with `/develop`, then Execute with `/beastmode`

The development workflow is **split into planning and execution** to prevent the "agent reconsiders the whole approach mid-proof" failure mode. `/develop` does the strategic thinking; `/beastmode` does the tactical implementation; neither does the other's job.

**`/develop` — planning only.**

- **Comprehensive plan** from your references; exhaustive mathlib search; API design for every new declaration. - **One conclusion per declaration.** A result whose statement would bundle several independently-provable conclusions (a top-level `∧`-chain, source parts (i)/(ii)/(iii)) is split at planning time — one lemma per part, each with its own name and minimal hypotheses; any kept bundle is a one-line `⟨…⟩` assembly. Long theorem statements never get

Platform compatibility

shellFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Jul 30, 2026
Published
Jul 30, 2026

Frameworks & tools

Shell

Decision snapshot

Fallback candidate

71
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

81
Needs review
Security
81/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for Mathlib Quality, ready for a manual X post.

Curator note
Before you hand an agent the next repo task, give it a repeatable starting point.

Mathlib Quality: Claude Code skill plugin for cleaning up and bringing Lean 4 code to mathlib standards.

27 stars

https://www.openagentskill.com/skills/cbirkbeck-mathlib-quality?ref=x
Open X draft
Optional reply with install command
Listing + install path for Mathlib Quality:
https://www.openagentskill.com/skills/cbirkbeck-mathlib-quality?ref=x

Install: npx skills add CBirkbeck/mathlib-quality

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
CBirkbeck
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to CBirkbeck but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/cbirkbeck-mathlib-quality?metric=listed&label=Listed)](https://www.openagentskill.com/skills/cbirkbeck-mathlib-quality)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/cbirkbeck-mathlib-quality?metric=trust&label=Trust)](https://www.openagentskill.com/skills/cbirkbeck-mathlib-quality)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/cbirkbeck-mathlib-quality?metric=audit&label=Audit)](https://www.openagentskill.com/skills/cbirkbeck-mathlib-quality/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/cbirkbeck-mathlib-quality?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/cbirkbeck-mathlib-quality)

Author

C

CBirkbeck

@cbirkbeck

Platform fit

Health signals

GitHub stars
27
Quality score
45/100
Last GitHub push
Jul 30, 2026
Framework hints
1
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

67
  • GitHub adoption27 GitHub starsCHECK
  • Stars/forks activity27 stars, 3 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenancePushed todayPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surface, network or browser surfaceINFO