llms.txtA
llms.txt from sathiaai/adversarial-review is an llms.txt file: plain text a project publishes for AI models to read.
mdr add sathiaai/adversarial-review/llms.txt@git:20260808.c6c16d5Pins git:20260808.c6c16d5 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 14 of 14 checks passed
- Kind
- llms.txt file
- Repository
- sathiaai/adversarial-review
- Path
llms.txt- Versions recorded
- 2
- Latest version
- git:20260808.c6c16d5, committed Aug 8, 2026
- First version recorded
- Aug 8, 2026
- Size
- 5,850 bytes
- Repository stars
- 3
- 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
# Adversarial Review > A portable agent skill that gates production software with a deterministic, > machine-computed release verdict. It combines deterministic verification (build, > tests, SAST, secrets, dependencies, mutation) with an independent panel of reviewer > models from providers that did NOT write the code — and the final PASS/FAIL/BLOCKED > decision is computed by `scripts/aggregate.py` from recorded artifacts, never narrated > by a model. Plain Python 3.9+, standard library only, no runtime dependencies. The problem it solves: when a model reviews its own work, you get the fox auditing the henhouse. This skill enforces separation of duties (reviewer families are excluded from any provider that planned, coded, debugged, or advised the change — computed from model IDs, not self-declared), a deterministic floor (AI approval can never override a failing gate), and a computed verdict (only `aggregate.py` emits PASS/FAIL/BLOCKED = exit 0/1/2; the orchestrating model relays it verbatim). How a run works: `panel.py init` (risk tier + dev providers, optionally from a `.adversarial-review.yml` policy file) → `gate.py` records each deterministic check with …
Read the whole file at its exact version.
How to install
mdr add sathiaai/adversarial-review/llms.txt@sha256:eec2e15eafbfcafeThe line at the top of this page pins the label git:20260808.c6c16d5, 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_oxr3d5ahhh7susqj)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, all committed on Aug 8, 2026.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260808.c6c16d5 latest | 2026-08-08 | c6c16d5 | 5,850 B | A | view · diff |
| git:20260808.04fe91d | 2026-08-08 | 04fe91d | 5,316 B | A | view |
Audit of the latest version
- pass: Size between 200 bytes and 200 KB (5850 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
sathiaai/adversarial-review · 3 stars · license MIT · pushed 2026-10-15 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_oxr3d5ahhh7susqj GET https://markdownregistry.com/api/v1/resolve?ref=sathiaai/adversarial-review/llms.txt GET https://markdownregistry.com/api/v1/blob/eec2e15eafbfcafe79b89de8cbd741dfc4b88a0b3e5eff00ce24c3e5c5f04a05
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.
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