pi-annotate: Visual feedback from browser to AI. Click elements, add comments, fix code

by nicobailon · Agent Tool · ★ 299

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

Security audit verdict: SAFE · quality 71/100

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.

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.

ai-toolsannotationchrome-extensionpi

Quick Facts

Stars299
Forks37
LanguageJavaScript
CategoryAgent Tool
LicenseMIT
Quality Score71/100
Last Updated2026-09-05
Created2026-01-23
Platformsbrowser, cli, node
Est. Tokens~15k

About pi-annotate

Pi Annotate Visual annotation for AI. Click elements, capture screenshots, fix code. []() Figma-like annotation experience with floating inline note cards. DevTools-like element picker in vanilla JS. Click elements, add comments, submit. The agent gets selectors, box model, accessibility, screenshots — everything it needs to fix your UI.

Compatible Skills

These tools work well together with pi-annotate for enhanced workflows:

  • vibe-annotations — semantic(0.36)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • real-browser-mcp — semantic(0.29)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • gemini-browser-agent — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)

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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:

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