plannotator: The workspace to stay in the loop and on top of agents - shape, decide, plan, annotate, review code, share

by backnotprop · Codex Skill · ★ 9.9k

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

How to install plannotator

/plugin marketplace add backnotprop/plannotator
/plugin install plannotator@plannotator

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentsclaude-codecode-reviewcodexobsidianopencodepi-monoplan-modeskills

Quick Facts

Stars9,881
Forks745
LanguageTypeScript
CategoryCodex Skill
LicenseApache-2.0
Quality Score67/100
Open Issues157
Last Updated2026-11-07
Created2025-12-28
Platformsclaude-code, codex, node
Est. Tokens~15k

About plannotator

Plannotator Interactive Plan & Code Review for AI Coding Agents. Mark up and refine your plans or code diffs using a visual UI, share for team collaboration, and seamlessly integrate with Claude Code, OpenCode, Pi, and Codex.

Compatible Skills

These tools work well together with plannotator for enhanced workflows:

  • oh-my-claudecode — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • Overture — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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 Codex Skill tools