Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Task Finish Contract
Enforce task completion with explicit Goal/Progress/Next state. Prevent mid-task stalls and ensure evidence-based completion.
skill openclawclawhub Free
Enforce task completion with explicit Goal/Progress/Next state. Prevent mid-task stalls and ensure evidence-based completion.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- references/privacy-checklist.md, SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- Dalomeve
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Task Finish Contract
Prevent mid-task stalls. Every task must finish with explicit state and evidence.
Problem
Agents often: Stop mid-task without explanation Output plans without execution Lack clear completion criteria Missing evidence artifacts
1. State Output (Each Substantial Step)
**Goal**: What finished looks like **Progress**: What has been done **Next**: One concrete action executing now
2. Completion Proof Format
- For tasks with 2+ steps, include:
- **DONE_CHECKLIST**:
- [ ] Item 1 completed
- [ ] Item 2 completed
- **EVIDENCE**:
- Executed: command/action summary
- Artifact: path/URL/id
- Verified: check command result
- **NEXT_AUTONOMOUS_STEP**:
- One follow-up that runs without user input
3. Anti-Stall Rule
Planning-only replies: max 1 Next reply MUST contain execution evidence Never end with "I will now..." without tool result
Executable Completion Criteria
CriteriaVerificationGoal statedSelect-String "Goal" memory/{date}.md matchesProgress trackedSelect-String "Progress" memory/{date}.md matchesNext action definedSelect-String "Next" memory/{date}.md matchesEvidence presentArtifact path/URL existsNo unresolved markers`Select-String "TODO
Privacy/Safety
No sensitive data in completion evidence Artifact paths use relative or workspace paths No credentials in task logs
Self-Use Trigger
Use when: Starting any multi-step task Resuming after interruption Handoff to another agent Finish what you start. Prove it with evidence.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs
- SKILL.md
- references/privacy-checklist.md