rpamis/comet
Comet: agent skill harness for turning ideas into evaluated workflows observed · 2026-08-28
Health v2 · maintenance only
80/100
- Activity 99
- Release rhythm 98
- Longevity 7
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0.5
- age_days: 111
- days_rel: 12
- days_push: 7
- n_releases_24m: 47
Adoption not part of the score
2849 stars · 279 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Comet is an npm-distributed CLI and Skill platform that gives AI coding agents a resumable, phase-guarded workflow for long-running tasks, with Native and Classic spec-driven modes invoked via /comet. It also includes Comet Eval, a dual-agent evaluation harness that runs real tasks against any local Skill in isolated environments with rubric scoring and failure attribution.
Use cases
- run resumable long-running coding tasks with an AI agent
- evaluate AI agent skills on real tasks with automated scoring
- turn team workflows into reusable agent skills
- enforce spec-driven development phases in Claude Code or Codex
- resume interrupted agent work across devices with zero context
- benchmark coding agent workflows with pass@k metrics
- compose existing skills like TDD and brainstorming into new workflows
When to choose
- you use AI coding agents (Claude Code, Codex, Cursor, Gemini CLI) and need structured, recoverable workflows
- you want measurable evidence that an agent skill actually works before publishing it
- your team needs spec-driven development with phase guards and confirmation points
- you want to package and distribute reusable skills across projects
When to avoid
- you need a simple one-shot code generator without workflow overhead
- you don't use any skill-capable AI coding platform
- you require a fully stable release - the current version is beta and /comet-any is experimental
- you cannot provide Docker, Python 3.11+, and model credentials for evaluation runs
Facets
cli-tool · maturity active
agent-framework workflow-automation llm-inference developer-tools testing cli developer-tools large-language-models cli cross-platform python skill-harness spec-driven-development phase-guards eval-harness coding-agents resumable-workflows skill-creator langsmith langfuse ai-agents automation command-line nodejs docker
9 sources
- readme: https://github.com/rpamis/comet · fetched 2026-08-28 · 1ae782a0366a
- homepage: https://docs.comet.rpamis.com · fetched 2026-08-29 · 278ec985402c
- site_page: https://docs.comet.rpamis.com/zh/eval/quickstart · fetched 2026-08-29 · 39f2745ad21b
- site_page: https://docs.comet.rpamis.com/zh/guides/install-and-update · fetched 2026-08-29 · e16e99d63d32
- site_page: https://docs.comet.rpamis.com/zh/quickstart · fetched 2026-08-29 · 8963106cf2ac
- site_page: https://docs.comet.rpamis.com/zh/native/quickstart · fetched 2026-08-29 · ff1d9af0f558
- site_page: https://docs.comet.rpamis.com/ · fetched 2026-08-29 · 278ec985402c
- site_page: https://docs.comet.rpamis.com/zh/changelog · fetched 2026-08-29 · aac855ebeb84
- site_page: https://docs.comet.rpamis.com/zh/skill-creator/getting-started · fetched 2026-08-29 · b195a7cb5c2f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| rpamis/comet | main | 80 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem