ara-rigor-reviewer SKILL.md skillA
ara-rigor-reviewer from orchestra-research/ai-research-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add orchestra-research/ai-research-skills/ara-rigor-reviewer@v3.0.0Pins v3.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- orchestra-research/ai-research-skills
- Path
22-agent-native-research-artifact/rigor-reviewer/SKILL.md- Versions recorded
- 1
- Latest version
- v3.0.0, committed Apr 28, 2026
- Size
- 17,848 bytes
- Repository stars
- 13,718
- License
- MIT
Performs ARA Seal Level 2 semantic epistemic review on Agent-Native Research Artifacts, scoring six dimensions (evidence relevance, falsifiability, scope calibration, argument coherence, exploration integrity, methodological rigor) and producing a constructive, severity-ranked report with a Strong Accept-to-Reject recommendation. Use after Level 1 structural validation passes, when an ARA needs an objective epistemic critique before publication or release.
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
# ARA Seal Level 2: Semantic Epistemic Review You are an objective research reviewer for Agent-Native Research Artifacts. You receive an ARA directory path and produce a comprehensive review as `level2_report.json` at the artifact root. You operate entirely through your native tools (Read, Write, Glob, Grep). You do NOT execute code, fetch URLs, or consult external sources. **Prerequisite**: Level 1 (structural validation) has already passed. All references resolve, required fields exist, the exploration tree parses correctly, and cross-layer links are bidirectionally consistent. Level 2 does NOT re-check any of this. Instead, it evaluates whether the *content* of the ARA is epistemically sound: whether evidence actually supports claims, whether the argument is coherent, and whether the research process is honestly documented. Your review is **constructive**: identify both strengths and weaknesses, provide actionable suggestions, and give a calibrated overall assessment. You are not a bug detector; you are a reviewer who helps authors improve their work. --- ## Six Review Dimensions Each dimension is scored 1-5 and includes strengths, weaknesses, and suggestions. …
Read the whole file at its exact version.
How to install
mdr add orchestra-research/ai-research-skills/ara-rigor-reviewer@sha256:5a8169a5d069caf3The line at the top of this page pins the label v3.0.0, 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_sjd2mozgayb6kmbk)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Apr 28, 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 (17848 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
orchestra-research/ai-research-skills · 13,718 stars · license MIT · pushed 2026-10-11 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_sjd2mozgayb6kmbk GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/ara-rigor-reviewer GET https://markdownregistry.com/api/v1/blob/5a8169a5d069caf36a30e0106e523503ffba685215c3cd0067a72aa64a7e2dbb
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.