llms.txt@staticA
llms.txt@static from s977043/river-review is an llms.txt file: plain text a project publishes for AI models to read.
mdr add s977043/river-review/static/llms.txt@git:20260730.c941712Pins git:20260730.c941712 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 14 of 14 checks passed
- Kind
- llms.txt file
- Repository
- s977043/river-review
- Path
static/llms.txt- Versions recorded
- 2
- Latest version
- git:20260730.c941712, committed Jul 30, 2026
- First version recorded
- Jul 4, 2026
- Size
- 10,017 bytes
- Repository stars
- 7
- 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
# River Review > River Review turns review into an organizational judgment asset. It is an open-source "Review Judgment as Code" framework: a capability pack / Skill Registry that runs a team's review criteria as versioned, repo-owned skills across plans, diffs, tests, and prior reviews — keeping a human in the loop rather than auto-merging. River Review versions your team's review know-how as repo-owned SKILL.md files (validated by `schemas/skill.schema.json`) and runs them across upstream (requirements / design / plan), midstream (diff / plan-conformance / tests), and downstream (report) SDLC gates. It is distributed as a Claude Code / Codex plugin and as a GitHub Action for headless CI review; npm distribution is intentionally out of scope. Its differentiators are repo-owned skills (review judgment travels with the code), perspective-based reviewer roles, and findings that are verified against the actual diff. The pipeline augments human reviewers — focusing them on high-risk judgment instead of replacing them (human-in-the-loop, no auto-merge). What ships today is a Review Judgment Platform, i.e. a team-owned audit layer; "Engineering Judgment Infrastructure" names a… …
Read the whole file at its exact version.
How to install
mdr add s977043/river-review/static/llms.txt@sha256:9c4df7822116efcfThe line at the top of this page pins the label git:20260730.c941712, 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_d64azz4gelivdwpc)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jul 4, 2026 and Jul 30, 2026, about one every 27 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260730.c941712 latest | 2026-07-30 | c941712 | 10,017 B | A | view · diff |
| git:20260704.80768d9 | 2026-07-04 | 80768d9 | 9,506 B | A | view |
Audit of the latest version
- pass: Size between 200 bytes and 200 KB (10017 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
s977043/river-review · 7 stars · license MIT · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_d64azz4gelivdwpc GET https://markdownregistry.com/api/v1/resolve?ref=s977043/river-review/static/llms.txt GET https://markdownregistry.com/api/v1/blob/9c4df7822116efcf681080d971301015be4f3b45d5e1f86629435f7c1673c14b
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 add an llms.txt file to a website · which agent file does what.
More from s977043/river-review
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