Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Productivity
Skill Test
Test skills before using or publishing. Trial, compare, evaluate in isolation without affecting your environment.
skill openclawclawhub Free
Test skills before using or publishing. Trial, compare, evaluate in isolation without affecting your environment.
โฌ 0 downloads โ
0 stars Unverified but indexed
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
- SKILL.md, compare.md, evaluate.md, sandbox.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
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Test Skills Safely
Two use cases: Try before commit โ Test drive skills before installing Evaluate before publish โ Verify quality before publishing Key principle: Test in isolation. Never affect user's environment. References: Read sandbox.md โ Isolated testing environment Read compare.md โ A/B comparison between skills Read evaluate.md โ Multi-agent quality evaluation
Quick Start
Trial a skill: sessions_spawn( task="Test skill X: Load ONLY its SKILL.md, run [sample task], report quality", model="anthropic/claude-haiku" ) Compare two skills: Run same task through each (separate sub-agents) Present outputs side-by-side Ask: "Which works better? Why?"
Test Modes
Trial Mode โ Before installing Spawn sub-agent with ONLY the test skill Run 2-3 representative tasks Evaluate: Does it help? Clear instructions? Decision: keep, pass, or try another Evaluation Mode โ Before publishing Spawn specialized reviewers (see evaluate.md) Check structure, safety, usefulness Synthesize findings Recommend improvements
Sandbox Isolation
โ ๏ธ Never load test skill into your main context. Sub-agent approach (recommended): sessions_spawn( task="You have ONE skill loaded: [skill content]. Test by doing: [task]", model="anthropic/claude-haiku" ) Complete isolation โ main session unaffected Natural cleanup โ sub-agent terminates, done Cheap testing โ use Haiku What to check: Does it activate correctly? Are instructions clear? Token cost reasonable? Output quality acceptable?
Edge Cases
Skill requires credentials: Ask user for test credentials or skip auth-dependent features. Skill not found: Verify slug with npx clawhub info <slug> before testing. Test fails mid-way: Sub-agent terminates cleanly. Review logs, adjust test task, retry. Skill has many auxiliary files: Load SKILL.md first, reference others only if needed during test. Test thoroughly. Install only after explicit user approval.
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Docs
- SKILL.md
- compare.md
- evaluate.md
- sandbox.md