Microsoft Rewards Script
Automated Microsoft Rewards script, using TypeScript, Cheerio and Playwright.
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Testing and QA
I need my agent to test a web app, reproduce bugs, and verify fixes.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add TheNetsky/Microsoft-Rewards-Script
Maintenance
fresh
20d since push
Risk
Safe to try
Quality score needs review
GitHub quality
817
86/100 quality · 85/100 trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Strong shortlistGood trust signals with a few areas worth checking before rollout.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v3
Human review before install
Test in a sandbox workflow and compare its install path with close alternatives.
Stars
817 GitHub stars
Repo activity
817 stars, 195 forks
Maintenance
20d since push
License
GPL-3.0
Install
npx skills add TheNetsky/Microsoft-Rewards-Script
Install safety
standard package or runtime install path
Permission surface
network or browser access
Docs
Usable metadata, review docs
Risk summary
Low metadata risk
- Quality score needs review
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- 20d since push
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Browser automation workflows
- Claude Code teams
- teams that value GitHub adoption signals
- Navigate pages
- Click and type safely
Suited agents
Trust and risk
- Trust score
- 85/100
- Risk level
- Safe to try
- Auto install
- review
Install command
npx skills add TheNetsky/Microsoft-Rewards-ScriptDo not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No major risk signals from current metadata
- Quality score needs review
Agent safety v2
72/100 · Review before install
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Browser automation
Skill may drive a browser or interact with web pages.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
- Quality score needs review
Install targets
Install this skill in your agent workflow
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add TheNetsky/Microsoft-Rewards-ScriptAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Resolve JSON
/api/agent/resolve?task=Use%20Microsoft%20Rewards%20Script%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Microsoft%20Rewards%20Script%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/thenetsky-microsoft-rewards-script/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use Microsoft Rewards Script in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Microsoft%20Rewards%20Script%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/thenetsky-microsoft-rewards-script/install
Install command: npx skills add TheNetsky/Microsoft-Rewards-Script
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/thenetsky-microsoft-rewards-script/install
LLM text format
/api/skills/thenetsky-microsoft-rewards-script/install?format=text
Find alternatives
/api/skills/search?q=Microsoft%20Rewards%20Script&limit=3
Agent prompt
Use Microsoft Rewards Script for this task. Review https://www.openagentskill.com/api/skills/thenetsky-microsoft-rewards-script/install, then install with: npx skills add TheNetsky/Microsoft-Rewards-ScriptRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/thenetsky-microsoft-rewards-script
LLM text
/api/registry/manifest/thenetsky-microsoft-rewards-script?format=text
Install alias
/api/registry/install/thenetsky-microsoft-rewards-script
Recommend
/api/registry/recommend?task=Use%20Microsoft%20Rewards%20Script%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
TypeScript, Playwright, Claude Code, Browser agents
Audit report
Safe to try · 88/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Primary pick for Browser automation
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Browser automation
Trust label
Production-ready
Install path
Command ready
Use when
- Browser automation workflows
- Claude Code teams
- teams that value GitHub adoption signals
Evidence
- 817 GitHub stars
- recent repository activity
- install command or GitHub repo available
- 86/100 quality profile
- 1 OpenAgentSkill engagement events
Review first
- No major risk signals from current metadata
Implementation path
- 1Install it in a sandbox agent and run one Browser automation task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Strong shortlist
Good trust signals with a few areas worth checking before rollout.
GitHub adoption
INFO817 GitHub stars
Stars/forks activity
INFO817 stars, 195 forks; issue activity unavailable in current metadata
Recent maintenance
PASS20d since push
License clarity
PASSGPL-3.0
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Meaningful GitHub adoption signal
- Install command has no obvious high-risk pattern
Review before install
- Quality score needs review
Recommended action
Test in a sandbox workflow and compare its install path with close alternatives.
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Use this skill in these scenarios
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Verify behavior
Testing and QA
I need my agent to test a web app, reproduce bugs, and verify fixes.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Stack fit
Add it to a complete workflow
Operate and verify web apps
Browser QA agent
A stack for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Scrape, clean, and reuse web data
Web data pipeline
A practical stack for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Compare before you install
Similar skills in this category, ranked with the same readiness and quality signals.
Playwright
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Crawlee
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Playwright Python
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FlareSolverr
Proxy server to bypass Cloudflare protection
Overview
Automated Microsoft Rewards script, using TypeScript, Cheerio and Playwright.
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- GPL-3.0
- Last Updated
- 6/15/2026
- Published
- 6/5/2026
Frameworks & Tools
Decision snapshot
Primary pick
817 GitHub stars
Audit snapshot
Install review
Install and adoption review
- Security
- 87/100
- Maintenance
- 100/100
- Install
- 92/100
Install
Add to agent workflow
Free and open source. Review the audit before production use.
Growth loop
Share kit
Scenario-led draft for Microsoft Rewards Script, ready for a manual X post.
OpenAgentSkill Update Today: Microsoft Rewards Script Use it when you need an agent to browse, extract, or monitor web pages without... 817 stars - browser-automation Link: https://www.openagentskill.com/skills/thenetsky-microsoft-rewards-script?ref=x #AIAgents #OpenAgentSkill
Optional reply with install command
Link for Microsoft Rewards Script: https://www.openagentskill.com/skills/thenetsky-microsoft-rewards-script?ref=x Install: npx skills add TheNetsky/Microsoft-Rewards-Script
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- TheNetsky
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This community indexed listing is attributed to TheNetsky but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
README badge
Add this badge to your GitHub README to show the listing, trust score, and install handoff.
[](https://www.openagentskill.com/skills/thenetsky-microsoft-rewards-script)Author
TheNetsky
@thenetsky
Tags
Platform Fit
Health Signals
- GitHub stars
- 817
- Quality score
- 54/100
- Last GitHub push
- May 28, 2026
- Framework hints
- 2
- OpenAgentSkill views
- 1
- Install copies
- 0
- Outbound clicks
- 0
Community Signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & Safety
Strong shortlist
- GitHub adoption817 GitHub starsINFO
- Stars/forks activity817 stars, 195 forks; issue activity unavailable in current metadataINFO
- Recent maintenance20d since pushPASS
- License clarityGPL-3.0PASS
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
- Dependency/runtime risknetwork or browser surfacePASS
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