takopi: he just wants to help-pi

by banteg · Codex Skill · ★ 1.0k

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

Featured in: Telegram Bot

How to install takopi

uv tool install -U takopi

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.

🧪 Tested by Agent Skills Hub

One of 20 tools we ran end to end on the same task for our Telegram Bot page (2026-10-10).

Result: Serves nobody until you list your Telegram ID · runs the agent with permission prompts switched off · in a group chat every member can drive the agent unless you also list user IDs

See the lines → · See the whole test →

agentbridgeclaudecodexopencodetelegramworktree

Quick Facts

Stars1,038
Forks132
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score67/100
Open Issues42
Last Updated2026-05-25
Created2025-12-29
Platformsclaude-code, codex, python
Est. Tokens~105k

About takopi

takopi 🐙 he just wants to help-pi telegram bridge for codex, claude code, opencode, pi. manage multiple projects and worktrees, stream progress, and resume sessions anywhere. features projects and worktrees: work on multiple repos/branches simultaneously, branches are git worktrees stateless resume: continue in chat or copy the resume line to pick up in terminal progress streaming: commands,...

Compatible Skills

These tools work well together with takopi for enhanced workflows:

  • ccgram — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (57%)
  • overstory — semantic(0.19)+complementary+similar_pop+shared_platform (47%)
  • 3dsmax-mcp — semantic(0.19)+complementary+same_lang+shared_platform (46%)
  • Claude-to-IM — semantic(0.17)+complementary+similar_pop+shared_platform (46%)

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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