multi-perspective-review SKILL.md skillA

multi-perspective-review from d-padmanabhan/agent-engineering-handbook is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add d-padmanabhan/agent-engineering-handbook/multi-perspective-review@git:20260819.d23bb73

Pins git:20260819.d23bb73 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
d-padmanabhan/agent-engineering-handbook
Path
skills/multi-perspective-review/SKILL.md
Versions recorded
4
Latest version
git:20260819.d23bb73, committed Aug 19, 2026
First version recorded
May 10, 2026
Size
12,526 bytes
Repository stars
20
License
MIT

Structured multi-advisor review of an architecture, vendor, strategy, or design decision. Each advisor (data, architecture, business value, operations, risk, executive sponsor, etc.) gives a position vote, a one-sentence pro and con, and the sharp question they would ask. Every assertion carries a "what worked" and "horror story" industry-precedent pair. A weighted scoring model lets the user influence outcomes via emphasis profiles (balanced, value-first, risk-averse, platform-forward…

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

# Multi-Perspective Review

A structured panel review framework for any architecture, vendor, strategy, or design decision. Embeds 5-7 expert perspectives, attaches industry-precedent evidence to every assertion, and uses a weighted scoring model so the user can influence outcomes by adjusting how much emphasis each advisor receives.

**Companion rules:**

- `100-core.mdc` - core engineering principles
- `015-context-engineering.mdc` - prompt packing, retrieval, compaction

---

## When to invoke

Use when the user asks for:

- "Panel review" / "stakeholder perspectives" / "advisory panel"
- "Pro/con analysis across multiple lenses"
- "Weighted recommendation" / "strategic review"
- "What would my CTO / Security / Finance say about this?"
- Re-weighting an existing review with a different emphasis
- A structured architecture / vendor / strategy decision that has multiple valid framings

Do *not* use for:

- Single-lens reviews (just call the right specialist skill)
- Creating or technically reviewing a production architecture; use the system design skill (`${HANDBOOK_ROOT}/skills/system-design/SKILL.md`), then use this skill only when stakeholder weighting is needed
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add d-padmanabhan/agent-engineering-handbook/multi-perspective-review@sha256:cd469371219dd1d5

The line at the top of this page pins the label git:20260819.d23bb73, 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_7tcjhdfcnpnqeqky.svg)](https://markdownregistry.com/a/art_7tcjhdfcnpnqeqky)

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

Versions

The registry has recorded 4 versions of this file, between May 10, 2026 and Aug 19, 2026, about one every 33 days.

versioncommittedcommitsizeaudit
git:20260819.d23bb73 latest2026-08-19 d23bb73 12,526 BA view · diff
git:20260814.c9b9c202026-08-14 c9b9c20 12,626 BA view · diff
git:20260812.41607172026-08-12 4160717 12,351 BA view · diff
git:20260510.62d3bbd2026-05-10 62d3bbd 12,096 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 (12526 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

d-padmanabhan/agent-engineering-handbook · 20 stars · license MIT · pushed 2026-10-30 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_7tcjhdfcnpnqeqky
GET https://markdownregistry.com/api/v1/resolve?ref=d-padmanabhan/agent-engineering-handbook/multi-perspective-review
GET https://markdownregistry.com/api/v1/blob/cd469371219dd1d53246734f94c6d5f31ae45754d050feaf377dee8b0ed5204d

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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