assess

name	assess
license	MIT
compatibility	Claude Code 2.1.220+. Requires memory MCP server.
description	Assesses and rates quality 0-10 across multiple dimensions (correctness, maintainability, security, performance, testability, simplicity) with pros/cons analysis. Compares against project conventions and prior decisions from memory. Produces structured evaluation reports with actionable improvement suggestions. Use when evaluating code, designs, architectures, or comparing alternative approaches.
context	fork
background	false
version	1.8.0
author	OrchestKit
tags	["assessment","evaluation","quality","comparison","pros-cons","rating"]
user-invocable	true
allowed-tools	["AskUserQuestion","Read","Write","Grep","Glob","Agent","TaskCreate","TaskUpdate","TaskList","ToolSearch","mcp__memory__search_nodes","Bash"]
skills	["code-review-playbook","quality-gates","architecture-decision-record","memory","chain-patterns"]
argument-hint	[code-path-or-topic] [--render=markdown|json-render|both] [--effort=low|medium|high|xhigh]
complexity	high
persuasion-type	guidance
effort	high
model	sonnet
hooks	{"PreToolUse":[{"matcher":"Read","command":"${CLAUDE_PLUGIN_ROOT}/hooks/bin/run-hook.mjs skill/assessment-baseline-loader","once":true}]}
metadata	{"category":"document-asset-creation","mcp-server":"memory"}
triggers	{"keywords":["assess","asses","rate","evaluate","grade","score","compare","how good","how bad","red flags","trade-offs","pros and cons","good enough"],"examples":["rate this code from 0 to 10","is this approach good enough for production?","evaluate the trade-offs between Redis vs Postgres"],"anti-triggers":["fix","implement","build","test","commit","review pr","explore"]}

Assess

Comprehensive assessment skill for answering "is this good?" with structured evaluation, scoring, and actionable recommendations.

🎯 Quick Start

/ork:assess backend/app/services/auth.py
/ork:assess our caching strategy
/ork:assess --model=opus the current database schema
/ork:assess frontend/src/components/Dashboard

Effort levels (CC 2.1.111+ adds xhigh)

Effort	Behavior
low / medium	Subset of dimensions, faster turnaround
high (default)	All six dimensions with pros/cons
xhigh	All six dimensions + one additional assessor pass focused on uncertainty/caveats; emits confidence per dimension

xhigh silently falls back to high on a model that does not implement it: no error, no log line. /ork:doctor Category 14 reports this, and only when it can positively prove the active model lacks the tier.

---

Argument Resolution

TARGET = "$ARGUMENTS"  # Full argument string, e.g., "backend/app/services/auth.py"
# $ARGUMENTS[0] is the first token (CC 2.1.59 indexed access)

# Model override detection (CC 2.1.72)
MODEL_OVERRIDE = None
for token in "$ARGUMENTS".split():
    if token.startswith("--model="):
        MODEL_OVERRIDE = token.split("=", 1)[1]  # "opus", "sonnet", "haiku", "fable"
        TARGET = TARGET.replace(token, "").strip()

Pass MODEL_OVERRIDE to all Agent() calls via model=MODEL_OVERRIDE when set. Accepts symbolic names (opus, sonnet, haiku, fable on harnesses whose Agent tool lists it; note fable is premium API spend after 2026-07-12) or full IDs () per CC 2.1.74.