Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Execution Verifier
Enforce real progress for long-running tasks by separating execution from reporting. Use when users complain that the agent is "saying it's working" without...
skill openclawclawhub Free
Enforce real progress for long-running tasks by separating execution from reporting. Use when users complain that the agent is "saying it's working" without...
⬇ 0 downloads ★ 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, scripts/verify_execute_verify.py, scripts/verify_progress.py
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
- 1.1.0
Provenance
- Publisher
- RichardSun700
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Execution Verifier
Use this skill to prevent fake progress.
Core policy
Treat "no artifact change" as "no progress". Report only hard evidence: file changes, line deltas, commits, test outputs. If no evidence is detected in the time window, report blocker + immediate next action.
Minimal operating loop (30 min)
Execute one concrete next action from OPEN_TASKS. Write artifacts (target files must change). Verify with scripts/verify_progress.py. Report in strict 3-line format.
Strict report format
已完成：<file path + concrete change> 进行中：<current actionable step> 下一步+ETA：<next step + time> If verification fails, replace line 1 with: 本轮无新增（原因：<blocker>）.
Verifier command
python3 skills/execution-verifier/scripts/verify_progress.py \ --project-dir projects/ai-human-co-production \ --status projects/ai-human-co-production/STATUS.md \ --open-tasks projects/ai-human-co-production/OPEN_TASKS.md \ --window-min 30
Closed-loop mode (verify → auto-execute → re-verify)
Use built-in script: python3 skills/execution-verifier/scripts/verify_execute_verify.py \ --verify-cmd "python3 skills/execution-verifier/scripts/verify_progress.py --project-dir projects/ai-human-co-production --status projects/ai-human-co-production/STATUS.md --open-tasks projects/ai-human-co-production/OPEN_TASKS.md --window-min 30" \ --execute-cmd "openclaw cron run fc567f18-83fa-426c-8181-71a10f4568b3 --force" Behavior: Step A: verify current progress Step B: if no progress, auto-trigger executor Step C: verify again Output JSON includes before, triggered_execute, after
Cron pattern (recommended)
Use two jobs: Executor job (isolated agentTurn, every 30m): do real work + write files. Verifier job (main systemEvent, every 30m offset +5m): run closed-loop script above. Never run report-only cron without verifier.
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 Scripts1 Docs
- SKILL.md
- scripts/verify_execute_verify.py
- scripts/verify_progress.py