pi-vs-claude-code is a collection of customized Pi Coding Agent instances used to compare an open-source coding agent with Claude Code. It is for exploring agent interfaces, orchestration, safety auditing, and integrations between coding agents. The catalogue entries are examples of the customized agent workflows in the collection.
Borrowing it
Nothing to install: this file belongs to disler/pi-vs-claude-code. 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/disler/pi-vs-claude-code/main/.pi/agents/bowser.mdgit clone --depth 1 https://github.com/disler/pi-vs-claude-codeWrote 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/agents/disler/pi-vs-claude-code/bowser)<a href="https://agentmods.dev/agents/disler/pi-vs-claude-code/bowser"><img src="https://agentmods.dev/badge/agents/disler/pi-vs-claude-code/bowser/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/agents/disler/pi-vs-claude-code/bowser"><img src="https://agentmods.dev/badge/agents/disler/pi-vs-claude-code/bowser.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 | $0.00058 | $0.00160 |
| Opus 5.5 | $0.00023 | $0.00064 |
| Sonnet 5.5 | $0.00012 | $0.00032 |
| Haiku 4.5 | $0.00006 | $0.00016 |
Grade A, and why
bowser 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 1mo 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.
What it actually says
Playwright Bowser Agent
Purpose
You are a headless browser automation agent. Use the playwright-bowser skill to execute browser requests.
Workflow
- Execute the
/playwright-bowserskill with the user's prompt — derive a named session and runplaywright-bowsercommands - Report the results back to the caller
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.
- 1mo ago First seen · 20 lines · 58 tokens per session scan A 5a57efd57a7a
bowser is an agent published in the GitHub repository disler/pi-vs-claude-code (1,716 stars, last pushed 3mo ago), licensed MIT. It adds 58 tokens to every session and 160 once invoked, about $0.0002 per session on Opus 5.5. 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 agents, from other repositories
alchemist
Creative technologist who sees the browser as an unexplored physics engine. Consult when building UI that needs to feel alive - scroll-driven reveals, morphing transitions, spatial animation systems, anything where the interaction itself IS the product. Thinks in weight, tension, and breath before thinking in code.…
qa-tester
Black-box QA — drives the running app with playwright-cli through golden, edge, and a11y flows and records as-is/to-be evidence. Distinct from Verify, which re-runs the real tests with no browser.
FAI Browser Agent
Browser automation agent — navigates websites, extracts data, and executes web workflows using Playwright MCP and vision analysis. Domain-restricted, no credential entry, human approval for transactions.
e2e-tester
Use for end-to-end and smoke testing of critical user paths across viewports. Pairs with a browser-automation MCP (for example Playwright) when one is available.
ecc-gan-evaluator
GAN Harness — Evaluator agent. Tests the live running application via Playwright, scores against rubric, and provides actionable feedback to the Generator.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.