Writ — security grade SAFE, quality 71/100

Security audit verdict: SAFE · quality 71/100

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 infinri · Claude Skill · ★ 206

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

🔒 Is Writ safe to install? View the security audit →

About Writ

Writ A Claude Code harness that gives every coding session two helpers: a fast librarian that picks the rules that fit the current task, and a process keeper that blocks risky writes until you have approved a plan and tests. At the live 276-rule production corpus (post Phase 1-5 public-rulebook expansion), the librarian returns ranked results in 0.590 ms at the 95th percentile. At the 10,000-rule synthetic scale, it still holds at 0.557 ms while reducing context tokens by 726 times versus loading the whole rulebook every turn. See for the v1.2.0 release notes (proactive context-window management, hook hot-path latency consolidation, friction-log mode canonicalization, PostToolUse banner fix) and the v1.0.0 + v1.0.1 + v1.1.0 history of capabilities shipped. Browse the architecture in your browser Four self-contained HTML pages render the whole system. No clone or install required: open any link below and walk the diagrams. A sticky top nav inside each page cross-links to the other three, so you can flip between layers without coming back to the README.

agent-governanceagent-toolsai-agentsai-codingai-governanceclaude-codeclaude-plugindeveloper-toolshybrid-searchknowledge-graph

Quick Facts

Stars206
Forks14
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score70.9040071043056/100
Last Updated2026-09-30
Created2026-03-16
Platformsclaude-code, python
Est. Tokens~20k

Compatible Skills

These tools work well together with Writ for enhanced workflows:

  • knowledge-rag — semantic(0.31)+complementary+rare_topics+same_lang+shared_platform (64%)

Writ alternative? Top 6 similar tools

Looking for a Writ alternative? If you're comparing Writ 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.

  • DashClaw by ucsandman · ⭐ 308

    Remote approvals, policy checks, and execution evidence for unattended AI agents.

  • roam-code by Cranot · ⭐ 517

    Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 287 comman

  • octocode by Muvon · ⭐ 477

    Structural code intelligence for AI agents — semantic search, knowledge graphs, and a built-in MCP server in o

  • dispatch by bassimeledath · ⭐ 409

    A Claude Code skill that 10x's your effective context window by dispatching tasks to background AI workers.

  • agent-second-brain by smixs · ⭐ 367

    An always-on second brain you talk to. Voice notes in Telegram → typed, linked knowledge in your Obsidian vaul

  • orchestkit by yonatangross · ⭐ 286

    The Complete AI Development Toolkit for Claude Code. 106 skills, 36 agents, 171 hooks. Install `ork` for stabl

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Frequently Asked Questions

What is Writ?

Writ is Governance runtime for Claude Code. Enforces workflow gates at tool time, delivers the engineering rules relevant to the work, and preserves decision provenance across sessions.. It is categorized as a Claude Skill with 206 GitHub stars.

What programming language is Writ written in?

Writ is primarily written in Python. It covers topics such as agent-governance, agent-tools, ai-agents.

How do I install or use Writ?

You can find installation instructions and usage details in the Writ GitHub repository at github.com/infinri/Writ. The project has 206 stars and 14 forks, indicating an active community.

What license does Writ use?

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

What are the best alternatives to Writ?

The top alternatives to Writ on Agent Skills Hub include DashClaw, roam-code, octocode. 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:

View on GitHub → Browse Claude Skill tools