control-plane-worker

A development workflow for Hack's local command-line tools, runtime, environment, process lifecycle, tickets, sessions, and macOS companion.

In plain words
What is it for?
Use it when implementing features in Hack's source code, local runtime files, lifecycle and session flows, environment handling, tickets, agent setup, documentation, or companion app.
Why use it?
It gives work on these parts of Hack a defined procedure, including reading project guidance and adding regression tests before changing code.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/hack-dance/hack/control-plane-worker
Any agent
npx skills add hack-dance/hack --skill control-plane-worker
Clone the repo
git clone --depth 1 https://github.com/hack-dance/hack

Made for: Claude Code, Codex.

Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,310 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00026 $0.01310
Opus 5 $0.00013 $0.00655
Sonnet 5 $0.00005 $0.00262
Haiku 4.5 $0.00003 $0.00131

Measured yesterday against content hash c0b16baac557, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

control-plane-worker scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.factory/skills/control-plane-worker/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Control Plane Worker

NOTE: Startup and cleanup are handled by worker-base. This skill defines the WORK PROCEDURE.

When to Use This Skill

Use this skill for features that primarily touch:

  • src/** CLI and control-plane code
  • .hack/docker-compose.yml, .hack/hack.config.json, or other source-of-truth Hack runtime files
  • local runtime orchestration, env/runtime hardening, lifecycle processes, tickets, sessions, MCP/agent setup, docs, or the slim macOS companion

Do not use this skill for retired v3 surfaces:

  • hosted auth/account/org/team management
  • web dashboard work
  • built-in GitHub workflows
  • built-in Linear sync/project-artifact flows

Required Skills

  • hack-cli — invoke when the feature touches .hack/**, runtime orchestration, lifecycle/session flows, tickets, env, or any hack up/ps/open/down verification.

Work Procedure

  1. Read the assigned feature, mission.md, mission AGENTS.md, .factory/services.yaml, and relevant .factory/library/*.md files. Restate the exact assertions or outcomes the feature must complete.
  2. Investigate existing code paths and add the failing test or regression harness first. Prefer the narrowest relevant suites under tests/*.test.ts. If the feature has no fulfills claims, still add characterization or regression coverage for the changed behavior.
  3. Implement the smallest coherent change set in CLI, runtime config, tickets, env, lifecycle, macOS, or agent setup. Never hand-edit .hack/.internal/** or .hack/.branch/**; only change source-of-truth files.
  4. Run focused validators first, then the smallest meaningful typecheck/check commands for the touched surfaces. For repo-bound CLI behavior, build and validate with ./dist/hack or repo-local Bun entrypoints. When invoking bun test from the repo root against files outside ./tests, use absolute paths or explicit ./-prefixed paths that Bun actually honors in this repo so targeted commands do not silently skip files.
    • If the assigned feature is explicitly about fixing a known red baseline, capture the failing baseline evidence once, then continue the repair work and rerun the gate before handoff.
    • If repo-bound GitHub CLI routes cannot reach the changed auth code because dance.hack.github is not enabled in project config yet, use a direct resolver or similarly narrow deterministic smoke and record why the repo-bound path was unavailable.
    • If no safe repo-bound hook exists to force a failure mode (for example local-sync failure injection), deterministic regression tests are acceptable proof as long as you explain why a live manual repro would mutate real project state.
    • For daemon/gateway request-target hardening, raw-socket regression coverage against the proxy transport is preferred. If you also need live proof without mutating shared user daemon state, an isolated temp-HOME bun index.ts daemon start --foreground smoke is an acceptable validation pattern; record the isolation setup in the handoff.
    • For lifecycle changes, verify shell semantics, process-group cleanup, stale pane/process metadata reconciliation, singleton listener behavior, and doctor recovery guidance.
    • For env changes, verify overlay order, worktree-local override behavior, linked-worktree secret-key lookup, host-vs-compose target behavior, and materialization drift detection.
  5. Capture any blockers, discovered issues, or scope mismatches immediately. If a feature needs credentials, unavailable infrastructure, or a change that would reintroduce hosted/web/integration dependencies, return to the orchestrator instead of guessing.
  6. Stop any processes you started and produce a detailed handoff with exact commands, observations, tests added, and remaining issues.
  7. If bun run check succeeds and only re-surfaces the known warning-only complexity diagnostics already documented in mission AGENTS.md, do not return to the orchestrator for that reason and do not record them as new discovered issues unless your feature directly worsened the warned files.

Read the full file on GitHub · 93 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 93 lines · 26 tokens per session scan A c0b16baac557

Subscribe to this mod's changes

control-plane-worker is a skill published in the GitHub repository hack-dance/hack (8 stars, last pushed 20d ago), licensed MIT. It adds 26 tokens to every session and 1,310 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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