Quiet Quiet Go GO
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drydock sricola/drydock

Hardware-isolated sandbox for running coding agents on your repos, on macOS. The agent never sees your real API key; egress is deny-by-default; only a diff you approve leaves the sandbox.

https://sricola.github.io/drydock/ ↗
HEALTH 94 / Healthy
// solo builder// hidden gem// release machine ai-agentsanthropicapple-siliconclaudecoding-agentcontainerscredential-managementgolangisolationmacos

// readme

drydock

drydock runs Claude Code, OpenAI Codex, or any OpenAI-compatible model (Gemini, OpenRouter, local) full-throttle on your own repos, on your own Mac — no permission prompts, no babysitting. Each task runs sealed in a throwaway VM. The only thing that ever comes back is a git diff, and nothing reaches your real code until you approve it.

  • It never gets your key. Your real API key stays on the host; the agent only ever sees a short-lived, budget-scoped token (spend overshoot is bounded to one in-flight request by default).
  • It can’t smuggle anything out. The internet is deny-by-default: no exfiltrating your code, no calling home (you allow the package registries it needs, nothing else).
  • Nothing touches your repo until you say so. You read the diff and approve it before it ever reaches origin.

Most agent tooling tries to keep the agent well-behaved: permission prompts, output filters, policy. drydock takes the opposite stance: contain the blast radius. A hostile agent — a poisoned repo, a malicious dependency,…

The Undervalued Score +

How much a project earns versus how much attention it actually gets. Above 50 means the work is outrunning its audience. Recomputed nightly from commit velocity, contributor effort, issue resolution, fork utility, release cadence, and project maturity — divided by a logarithmic reach factor.

score  = signal / reach

signal = 0.25·commit_velocity   // commits in last 90 days (cap 30)
       + 0.20·contributor_work  // unique authors × velocity (cap 100)
       + 0.20·issue_resolution  // closed ÷ total issues
       + 0.20·fork_ratio        // forks ÷ stars (proxy for real usage)
       + 0.10·release_cadence   // releases in 90 days (cap 3)
       + age_bonus              // +0 to +0.30 after 6 months
       + homepage_bonus         // +0.05 if homepage is set

reach  = log₁₀(stars + watchers + 10)
The Health Score +

Is the project alive and maintained right now? A 0–100 pulse recomputed nightly from commit recency, rhythm, how fast issues close, and how quickly PRs get merged.

health = 0.35·recency       // days since last commit (90d decay)
       + 0.25·cadence       // commit rhythm consistency
       + 0.20·issue_health  // closed ÷ total issues
       + 0.20·pr_health     // merged ÷ total PRs
Health bands +

The colour and label on every card come straight from the health score.

Healthy   80 – 100   active, responsive, regular releases
Stable    60 – 79    maintained, steady, no alarms
Quiet     40 – 59    slowing down — watch this one
At Risk    0 – 39    going dark · candidate for rescue
// Tags — what each label means +

Tags are independent behavioral signals computed nightly. A project can hold multiple at once. They drive the home page sections.

solo_builder      one person holds > 80% of commits (last 180d)
needs_contributors has open "help wanted" or "good first issue" labels
hidden_gem        < 100 stars · active in last 3 months · documented
legacy_hero       repo > 5 years old · committed this year
fork_magnet       forks/stars > 0.5 · used as template or dependency
release_machine   5+ releases in the last 90 days
under_pressure    > 10 open issues · ≤ 2 contributors · health ≥ 60
community_watch   watchers > stars · devs tracking before the public
community_hub     GitHub Discussions enabled · > 20 discussions
funded            maintainer has active funding channel
Why rank against stars at all? +

Stars are an outcome, not effort. A project with 8 stars and daily commits is doing more interesting work than one coasting on 8k. We measure the building, then divide by the attention already received — so the genuinely undervalued rise to the top.

// stars   = lagging indicator
// commits = leading indicator
// we rank by the leading one