astra-flash-orchestrator: Astra plans and reviews; DeepSeek Flash builds

by ethanplusai · Codex Skill · ★ 673

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

How to install astra-flash-orchestrator

git clone https://github.com/ethanplusai/astra-flash-orchestrator.git

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

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. 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-orchestrationai-agentscodexcodex-skillsdeepseekdeveloper-tools

Quick Facts

Stars673
Forks57
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score70/100
Open Issues4
Last Updated2026-09-25
Created2026-09-17
Platformscodex, python
Est. Tokens~12k

About astra-flash-orchestrator

Astra Flash Orchestrator Save Astra for the decisions that need it. Let DeepSeek V4.1 Flash do the volume. A personal Codex skill designed to preserve Astra usage without giving up Astra's judgment. Astra stays responsible for planning, architecture, high-stakes decisions and final review.

Compatible Skills

These tools work well together with astra-flash-orchestrator for enhanced workflows:

  • handoff — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)
  • deepseek-eyes — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)
  • deepseek-v4-flash-vision-video-rag — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)

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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