Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Repo PR Triage
Triage GitHub PRs and issues using vision-based scoring. Use when a user wants to prioritize, score, review, de-duplicate, or batch-process open pull request...
skill openclawclawhub Free
Triage GitHub PRs and issues using vision-based scoring. Use when a user wants to prioritize, score, review, de-duplicate, or batch-process open pull request...
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, scripts/onboard.py, scripts/test_onboard.py, scripts/test_report.py, scripts/test_scan.py, scripts/scan.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
- 1.0.0
Provenance
- Publisher
- patrob
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
PR Triage
Score and prioritize GitHub PRs against a project's vision document. Three-step workflow: onboard, scan, report.
Quick Start
# 1. Onboard: gather repo context, interview the owner python3 scripts/onboard.py https://github.com/owner/repo --output-dir ./triage-config # 2. Scan: score open PRs against the vision python3 scripts/scan.py https://github.com/owner/repo ./triage-config/vision.md --output scores.json # 3. Report: generate markdown triage reports python3 scripts/report.py scores.json --output-dir ./triage-reports
Step 1: Onboard (one-time per repo)
Run scripts/onboard.py with a GitHub repo URL. It fetches the README, CONTRIBUTING.md, recent releases, and repo metadata via gh CLI, then outputs an interview prompt. Use the interview prompt to ask the repo owner these questions: Identity & Mission: In one sentence, what is this project and who is it for? What problem does it solve that alternatives do not? What are your 3-5 non-negotiable principles? Priorities: 4. Rank contribution areas by importance: security, bugs, features, performance, docs, tests, refactoring 5. What types of PRs would you auto-reject? 6. What types of PRs would you fast-track? Red/Green Flags: 7. What patterns signal low-quality contributions? 8. What makes you excited to review a PR? 9. Specific areas where you want help? Context: 10. Growth mode, maintenance mode, or transitioning? 11. Upcoming milestones affecting prioritization? 12. How do you handle breaking changes? After the interview, generate two files in the output directory: vision.md - Project mission, identity, priorities, alignment signals rubric.md - Scoring rubric customized from references/rubric-template.md
Step 2: Scan (run per triage session)
Run scripts/scan.py with the repo URL and vision doc path. It: Fetches open PRs via gh pr list (title, body, labels, stats, author, date) Applies rule-based scoring: base 50, with positive/negative modifiers Detects potential duplicates via title similarity Outputs JSON with scores, reasoning, and distribution The scan uses heuristic scoring (keyword matching, diff size, test mentions). For deeper analysis, read the JSON output and apply additional LLM reasoning to ambiguous PRs (scores 40-60). Options: --count N - Number of PRs to fetch (default: 100) --output file.json - Save to file instead of stdout
Step 3: Report (run after scan)
Run scripts/report.py with the scan JSON. It generates four markdown files: prioritize.md - PRs scoring 80+ (fast-track for review) review.md - PRs scoring 50-79 (standard queue) close.md - PRs scoring below 50 (likely close or request changes) summary.md - Distribution, top 3, patterns, duplicates, active authors
Scoring Overview
Base score: 50. Key modifiers: SignalPointsSecurity fix+20Bug fix with tests+10Core functionality improvement+10Performance (measured)+8Small focused diff+5Has tests+5Spam/promotion-30Unwanted dependency-25Large diff, no tests-15No description-5 Full rubric: references/rubric-template.md Example vision doc: references/example-vision.md
Recurring Triage via Cron
Set up a cron job to scan weekly: description: Weekly PR triage for owner/repo schedule: "0 9 * * MON" model: anthropic/claude-sonnet-4-20250514 channel: telegram Cron prompt: "Run pr-triage scan on https://github.com/owner/repo using ./triage-config/vision.md, generate reports, and send the summary."
Requirements
gh CLI installed and authenticated (gh auth login) Python 3.10+ No additional Python packages needed (stdlib only)
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
5 Scripts1 Docs
- SKILL.md
- scripts/onboard.py
- scripts/scan.py
- scripts/test_onboard.py
- scripts/test_report.py
- scripts/test_scan.py