Dippy: Less permission fatigue, more momentum

by ldayton · Claude Skill · ★ 243

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

How to install Dippy

brew install dippy
git clone https://github.com/ldayton/Dippy.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 70/100

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.

🧪 Tested by Agent Skills Hub

One of 12 tools we ran end to end on the same task for our Claude Code Hooks, Subagents & Statusline page (2026-10-10).

Result: A permission gate: it approves commands it knows are safe and asks about the rest. With prompts skipped its "ask" has no effect. · stopped 0 of 8 risky actions with prompts skipped · with prompts kept: 7 of 8 stopped, 2 of 4 ordinary actions through without a prompt

See all 12 actions → · See the whole test →

bashclaude-codeclihookpermissionspython

Quick Facts

Stars243
Forks22
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score70/100
Open Issues24
Last Updated2026-06-12
Created2026-01-07
Platformsclaude-code, cli, python
Est. Tokens~13k

About Dippy

🐤 Dippy Because ls shouldn't need approval Stop the permission fatigue. Claude Code asks for approval on every , , and - destroying your flow state. You check Slack, come back, and your assistant's just sitting there waiting. Dippy is a shell command hook that auto-approves safe commands while still prompting for anything destructive.

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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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