AGENTS.mdA
AGENTS.md from kevin-liu-01/loop is an AGENTS.md file: the standing instructions coding agents read in that repo.
mdr add kevin-liu-01/loop/AGENTS.md@git:20260727.4ed5350Pins git:20260727.4ed5350 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 14 of 14 checks passed
- Kind
- AGENTS.md file
- Repository
- kevin-liu-01/loop
- Path
AGENTS.md- Versions recorded
- 3
- Latest version
- git:20260727.4ed5350, committed Jul 27, 2026
- First version recorded
- Mar 28, 2026
- Size
- 8,998 bytes
- Repository stars
- 17
- License
- MIT
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Claude Code Prompt for Plan Mode #prompts Review this plan thoroughly before making any code changes. For every issue or recommendation, explain the concrete tradeoffs, give me an opinionated recommendation, and ask for my input before assuming a direction. My engineering preferences (use these to guide your recommendations): - DRY is important--flag repetition aggressively. - Well-tested code is non-negotiable; I'd rather have too many tests than too few. - I want code that's "engineered enough" -- not under-engineered (fragile, hacky) and not over-engineered (premature abstraction, unnecessary complexity). - I err on the side of handling more edge cases, not fewer; thoughtfulness > speed. - Bias toward explicit over clever. 1. Architecture review Evaluate: - Overall system design and component boundaries. - Dependency graph and coupling concerns. - Data flow patterns and potential bottlenecks. - Scaling characteristics and single points of failure. - Security architecture (auth, data access, API boundaries). 2. Code quality review Evaluate: - Code organization and module structure. - DRY violations--be aggressive here. …
Read the whole file at its exact version.
How to install
mdr add kevin-liu-01/loop/AGENTS.md@sha256:851a49d2347b4ff9The line at the top of this page pins the label git:20260727.4ed5350, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_v4egnz6vdjhyxydk)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Mar 28, 2026 and Jul 27, 2026, about one every 61 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260727.4ed5350 latest | 2026-07-27 | 4ed5350 | 8,998 B | A | view · diff |
| git:20260412.eb0097c | 2026-04-12 | eb0097c | 8,144 B | A | view · diff |
| git:20260328.a6fd4f6 | 2026-03-28 | a6fd4f6 | 3,048 B | A | view |
Audit of the latest version
- pass: Size between 200 bytes and 200 KB (8998 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
kevin-liu-01/loop · 17 stars · license MIT · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_v4egnz6vdjhyxydk GET https://markdownregistry.com/api/v1/resolve?ref=kevin-liu-01/loop/AGENTS.md GET https://markdownregistry.com/api/v1/blob/851a49d2347b4ff9e84f6186ef770477debdad5e562f5630e314b7beda5d240e
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: how to write a good AGENTS.md · AGENTS.md vs CLAUDE.md · which agent file does what.
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