Real Skill packageSource verifiedClawHub registry

goal-runner

Autonomous multi-task orchestration loop over a roadmap file (ROADMAP.md, TODO.md, or any checkbox task list) — pairs with the built-in /goal Stop hook to work tasks ONE at a time until the file is done. The main agent orchestrates only; every task is delegated to sub-agents for coding, code review, and regression testing, with observed-green gates before the checkbox is ticked. No commits or pushes unless the goal text explicitly authorizes them — when it does, one commit per verified task, never red. Blocked tas…

Identity and source

Publisher attributionDennis Rongoregistry owner unverified by skillvetai
Functional categoryAgent Engineering, Security & Governanceautomatically inferred · 72% rule confidence
Package forminstruction bundle3 recorded files
Canonical sourceClawHub registryclawhub:dennisrongo:goal-runner
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 8/16/2026.claude/skills/goal-runner

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 8/16/2026.agents/skills/goal-runner

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 8/16/2026skills/goal-runner

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @dennisrongo/goal-runner
clawhub inspect @dennisrongo/goal-runner --version 1.0.0

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
3 / 3 inspected as text
Checked
8/16/2026, 9:38:28 PM
Scanner
0.1.3
Policy
1.0.3
2 inferred permission indicators
  • network access — automatically inferred
  • filesystem write — automatically inferred
1 dependency and API indicators
  • api: clawhub.ai
External clawhub result: clean

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
8/16/2026, 10:02:30 PM
Release binding
Matches this record
  • vt: clean
  • skillspector: clean
  • llm: clean

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:04634f3f49cc719dd1fa86c992c6552840d37cd5b87e61d07400efd092a06433
Show up to 3 recorded paths
  • references/agent-briefs.md
  • skill-card.md
  • SKILL.md

Source changelog

Goal Runner 1.0.0 — Initial Release - Introduces autonomous orchestration over a roadmap or task file, processing one task at a time with sub-agents for coding, review, and testing. - Ensures only verified, observed-green tasks are marked complete; commits or pushes occur only if explicitly granted in the goal text. - Annotates and skips blocked tasks instead of faking updates; maintains clear separation of coordination and execution roles. - Provides robust guidance on when and how to use the skill, including strict handling of single tasks, batching, and parallelism. - Integrates optional model routing via model-inventory for agent selection, with clear gatekeeping and fallback logic.