octogent: A thin orchestration dashboard over Claude Code for managing context, automation, and developer headspace

by hesamsheikh · Claude Skill · ★ 1.4k

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

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.

agent-engineeringagentic-workflowai-agentsclaudeclaude-codeclaude-hooksclaude-skillscodexdashboard

Quick Facts

Stars1,414
Forks257
LanguageTypeScript
CategoryClaude Skill
LicenseMIT
Quality Score67/100
Open Issues24
Last Updated2026-04-20
Created2026-02-24
Platformsclaude-code, codex, node
Est. Tokens~252k

About octogent

too many terminals, not enough tentacles Octogent It's really not fun to have ten Claude Code sessions open at once, constantly switching between them and trying to remember what each one was supposed to do. Things get blurry fast when one agent is doing documentation, another is touching the database, another is changing the API, and another is somewhere in the frontend.

Compatible Skills

These tools work well together with octogent for enhanced workflows:

  • Claude-Zeroclaw — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)
  • linear-claude-skill — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)
  • evo-nexus — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • the-dev-squad — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)

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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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