proposal-review SKILL.md skillA

proposal-review from fmschulz/omics-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add fmschulz/omics-skills/proposal-review@git:20261001.bf5afd6

Pins git:20261001.bf5afd6 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
fmschulz/omics-skills
Path
skills/proposal-review/SKILL.md
Versions recorded
6
Latest version
git:20261001.bf5afd6, committed Oct 1, 2026
First version recorded
Apr 18, 2026
Size
5,891 bytes
Repository stars
11
License
MIT

Review an AI/ML, computational-biology, or bioscience research proposal for a funding decision. Use when scoring a grant or funding application against sponsor criteria, feasibility, budget, and risk.

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

# Proposal Review

Produce a decision-ready review of an AI/ML, computational biology, or bioscience proposal. Be fair, skeptical, and specific, and name missing information.

## Instructions

1. Read the proposal and identify the decision context if provided: sponsor goals, rubric, budget cap, timeline, and risk tolerance.
2. If critical information is missing, do not invent it. Flag the gap and turn it into a prioritized question for the PI.
3. Structure the review with these sections:
   - Executive summary
   - Heilmeier catechism
   - Technical merit
   - Data, compute, and experimental resources
   - Risk register
   - Team and execution capability
   - Ethics, safety, and compliance
   - Budget and schedule realism
   - Scorecard
   - Decision and funding conditions
   - Questions for the PI
4. Tailor the technical review to the proposal type:
   - AI/ML: baselines, ablations, leakage prevention, calibration, external validation, compute realism
   - Bio or wet lab: controls, replicates, statistical plan, assay feasibility, translational path
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add fmschulz/omics-skills/proposal-review@sha256:6914b126e58e23be

The line at the top of this page pins the label git:20261001.bf5afd6, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_yj6yqi5limdecbls.svg)](https://markdownregistry.com/a/art_yj6yqi5limdecbls)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 6 versions of this file, between Apr 18, 2026 and Oct 1, 2026, about one every 33 days.

versioncommittedcommitsizeaudit
git:20261001.bf5afd6 latest2026-10-01 bf5afd6 5,891 BA view · diff
git:20260905.3e490392026-09-05 3e49039 5,448 BA view · diff
git:20260825.bd47e682026-08-25 bd47e68 5,333 BA view · diff
git:20260712.36751712026-07-12 3675171 5,355 BA view · diff
git:20260711.5ae6f6f2026-07-11 5ae6f6f 4,774 BA view · diff
git:20260418.53f3a012026-04-18 53f3a01 4,320 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5891 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

GitHub

fmschulz/omics-skills · 11 stars · license MIT · pushed 2026-10-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_yj6yqi5limdecbls
GET https://markdownregistry.com/api/v1/resolve?ref=fmschulz/omics-skills/proposal-review
GET https://markdownregistry.com/api/v1/blob/6914b126e58e23beab8d15c2a98d344ce34326e95e56e5d4d8a89923a8243395

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.

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