ask-llm-multi-review SKILL.md skillA
ask-llm-multi-review from lykhoyda/ask-llm is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add lykhoyda/ask-llm/ask-llm-multi-review@git:20261002.162238fPins git:20261002.162238f in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- lykhoyda/ask-llm
- Path
packages/llm-mcp/skills/ask-llm-multi-review/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261002.162238f, committed Oct 2, 2026
- Size
- 9,806 bytes
- Repository stars
- 19
- License
- MIT
This skill should be used when the user asks to "review my code with multiple providers", "get reviews from Antigravity and Codex", "multi-provider review", "review changes", or wants independent code reviews from both Antigravity and Codex in parallel.
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
<!-- PORTABLE-CONTRACT:START --> ## Portable contract Build one Context Brief and bounded diff, dispatch the same review contract concurrently to the selected providers, then independently verify every finding against repository source. Classify findings as VERIFIED, REJECTED, or UNVERIFIABLE; preserve size consent at 50KB/150KB; never silently drop a failed provider; and report included/excluded context. <!-- PORTABLE-CONTRACT:END --> ## Host adapters ### Pi adapter Use one native `ask-multi` call for concurrent provider dispatch, then perform source verification in the current host context. Do not use the Claude runner binaries or raw provider CLIs. ### Other hosts adapter Codex, Cursor Agent, Antigravity, Grok Build, Gemini CLI and OpenCode get this skill from their skills folder, not from a plugin. Apply the availability filtering, dispatch, and reporting steps in `../ask-llm-review/transport.md`, then verify every returned finding against source in the current host context. Do not run raw provider CLIs. <!-- HOST-ADAPTER:CLAUDE-CODE:START --> ### Claude Code adapter …
Read the whole file at its exact version.
How to install
mdr add lykhoyda/ask-llm/ask-llm-multi-review@sha256:bf16db71ace86d90The line at the top of this page pins the label git:20261002.162238f, 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_z5jt7v3aeys2guv6)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 2, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (9806 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
lykhoyda/ask-llm · 19 stars · license MIT · pushed 2026-11-04 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_z5jt7v3aeys2guv6 GET https://markdownregistry.com/api/v1/resolve?ref=lykhoyda/ask-llm/ask-llm-multi-review GET https://markdownregistry.com/api/v1/blob/bf16db71ace86d908ae498a67c7c007ea4c187681ee10750678c1e3fba303bd8
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: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.