Borrowing it
Nothing to install: this file belongs to padmarajnidagundi/Playwright-AI-Agent-POM-MCP-Server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/padmarajnidagundi/Playwright-AI-Agent-POM-MCP-Server/main/.github/skills/code-review/SKILL.mdgit clone --depth 1 https://github.com/padmarajnidagundi/Playwright-AI-Agent-POM-MCP-ServerWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/padmarajnidagundi/playwright-ai-agent-pom-mcp-server/code-review)<a href="https://agentmods.dev/skills/padmarajnidagundi/playwright-ai-agent-pom-mcp-server/code-review"><img src="https://agentmods.dev/badge/skills/padmarajnidagundi/playwright-ai-agent-pom-mcp-server/code-review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/padmarajnidagundi/playwright-ai-agent-pom-mcp-server/code-review"><img src="https://agentmods.dev/badge/skills/padmarajnidagundi/playwright-ai-agent-pom-mcp-server/code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00038 | $0.00972 |
| Opus 5 | $0.00019 | $0.00486 |
| Sonnet 5 | $0.00008 | $0.00194 |
| Haiku 4.5 | $0.00004 | $0.00097 |
Grade A, and why
code-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 98 lines · 38 tokens per session scan A 1d39828bfa34
code-review is a skill published in the GitHub repository padmarajnidagundi/Playwright-AI-Agent-POM-MCP-Server (38 stars, last pushed 1mo ago), with no licence file. It adds 38 tokens to every session and 972 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
simulate-agents
Run Mock User and Auditor agents against a feature in fresh contexts before human review. Use after verify-work, before request-review, when user wants pre-review simulation.
acceptance
Test a PR review end to end and prove it honoured every guarantee in INVARIANTS.md. Use when asked to test/validate a review of a pull request, to check a finished run, or to run the 3-provider x 2-runtime acceptance matrix. Drives pr-review verify and scripts/acceptance.mjs — never hand-checks the guarantees.
argus
Argus AI-powered QA harness — Chrome DevTools MCP reference for browser automation, accessibility, performance, security, and debugging.
quality-playbook
Explore any codebase from scratch and generate six quality artifacts: a quality constitution (QUALITY.md), spec-traced functional tests, a code review protocol with regression test generation, an integration testing protocol, a multi-model spec audit (Council of Three), and an AI bootstrap file (AGENTS.md). Includes…
test-ui
Test the Wayfinder agent extension UI by starting the dev environment and visually verifying changes via CDP. Covers the new tab page (left sidebar — Home, Scheduled Tasks, Settings, etc.) and the right side panel (chat interface). Use after making UI changes to apps/agent/.
specification-compliance-review
Use this skill when an implementation is described as partial, passing, or complete and the task is to determine whether it actually satisfies an explicit specification. This is not a generic code review and not a re-run of the test suite. The central question is: does every normative requirement have both a correct…