Finn-loop — security grade SAFE, quality 66/100

Security audit verdict: SAFE · quality 66/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by finna · Claude Skill · ★ 296

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About Finn-loop

Finn-loop Three Claude Code skills that turn Linear + GitHub into a small, human-gated AI software factory: idea → interviews you and files the issue → you label it → claims it and opens a PR → posts a verdict → you merge. Three skills, one approval label, one rule: humans merge. — researches the repo, interviews you until the behavior is unambiguous, then files a Linear issue with acceptance criteria () and non-goals (). — claims the next safe issue, implements only its contract, verifies it, and opens a PR. Runs repeatedly with . — reviews open PRs against their linked issue and required GitHub checks, then posts a three-group verdict. Runs repeatedly with . The prefix avoids collisions with Claude Code's bundled commands and with generic personal skills such as or . Requirements A Git repository hosted on GitHub, with a working remote Claude Code 2.1.71 or newer ( was added in that release) A Linear workspace and team The Linear connector enabled in Claude Code The GitHub CLI () authenticated with write access to the target repo At least one required GitHub status che

agentic-workflowsai-agentsclaude-codegithublinearsoftware-factory

Quick Facts

Stars296
Forks54
LanguageJavaScript
CategoryClaude Skill
LicenseMIT
Quality Score66.0808122910945/100
Open Issues4
Last Updated2026-07-23
Created2026-07-22
Platformsclaude-code, node
Est. Tokens~6k

Compatible Skills

These tools work well together with Finn-loop for enhanced workflows:

  • linear-mcp-server — semantic(0.15)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • awesome-agv — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • session-orchestrator — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • cc-plugin-codex — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)

Finn-loop alternative? Top 6 similar tools

Looking for a Finn-loop alternative? If you're comparing Finn-loop with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • SWE-AF by Agent-Field · ⭐ 993

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  • OpenSwarm by Intrect-io · ⭐ 858

    OpenSwarm — Autonomous AI dev team orchestrator powered by Claude Code CLI. Discord control, Linear integratio

  • OpenSwarm by unohee · ⭐ 840

    OpenSwarm — Autonomous AI dev team orchestrator powered by Claude Code CLI. Discord control, Linear integratio

  • openagentskill by Leon-Drq · ⭐ 352

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Frequently Asked Questions

What is Finn-loop?

Finn-loop is The Finn-loop: a 3-skill AI software factory for Claude Code — spec, build, review. Humans merge.. It is categorized as a Claude Skill with 296 GitHub stars.

What programming language is Finn-loop written in?

Finn-loop is primarily written in JavaScript. It covers topics such as agentic-workflows, ai-agents, claude-code.

How do I install or use Finn-loop?

You can find installation instructions and usage details in the Finn-loop GitHub repository at github.com/finna/Finn-loop. The project has 296 stars and 54 forks, indicating an active community.

What license does Finn-loop use?

Finn-loop is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to Finn-loop?

The top alternatives to Finn-loop on Agent Skills Hub include ralph-starter, claude-codex-settings, SWE-AF. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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