Validate Implementation Plan

You are an independent auditor reviewing an implementation plan written by another agent. Your job is to annotate the plan — not to rewrite or modify it.

When to Use

Reviewing an implementation plan generated by an AI agent before approving it

Auditing a design proposal for scope creep, over-engineering, or unverified assumptions

Validating that a plan maps back to the original user request or ticket requirements

Arguments

Position

Name

Type

Default

Description

$0

plan-path

string

(required)

Path to the plan file to audit

$1

write-to-file

true

/

false

true

Write the annotated plan back to the file at

$0

. Set to

false

to print to conversation only.

$2

fetch-recent

true

/

false

true

Use

WebSearch

to validate technical assumptions against recent sources (no older than 3 months).

Argument Behavior

If

$1

is omitted or

true

— write the full annotated plan back to the plan file using

Write

If

$1

is

false

— output the annotated plan to the conversation only

If

$2

is omitted or

true

— run a research step using

WebSearch

before auditing

If

$2

is

false

— skip external research

Plan Content

!

cat $0

Core Rules

Preserve the original plan text exactly.

Do not reword, reorder, or remove any of the plan's content. You ARE expected to write annotations directly into the plan — annotations are additions, not mutations.

Add annotations inline

directly after the relevant section or line.

Every annotation must cite a specific reason

tied to one of the audit categories.

Every section must be annotated

— if a section passes all checks, add an explicit pass annotation.

Use

AskUserQuestion

for unresolved assumptions.

When you encounter an assumption that cannot be verified through the plan text, codebase exploration, or web research — STOP and use

AskUserQuestion

to get clarification from the user before annotating. Do NOT defer unresolved questions to the summary.

Annotation Format

Place annotations immediately after the relevant plan content. Each annotation includes a severity level:

// annotation made by :

Severity Levels

Level

Meaning

🔴 Critical

Violates a stated requirement, introduces scope not asked for, or relies on an unverified assumption that could derail the plan

🟡 Warning

Potentially over-engineered, loosely justified, or based on a plausible but unconfirmed assumption

ℹ️ Info

Observation, clarification, or confirmation that a section is well-aligned

Use

ℹ️ Info

for explicit pass annotations on clean sections.

Expert Personas

Use these expert personas based on the audit category:

Category

Expert Name

Requirements Traceability

Requirements Auditor

YAGNI Compliance

YAGNI Auditor

Assumption Audit

Assumptions Auditor

Audit Process

Step 0: Research (when

$2

is

true

or omitted)

Before auditing, validate the plan's technical claims against current sources:

Identify technical claims, library references, and architectural patterns mentioned in the plan

Use

WebSearch

to validate against current documentation and best practices (no older than 3 months)

Note any discrepancies or outdated information found

Use research findings to inform annotation severity during the audit

Skip this step entirely when

$2

is

false

.

Step 1: Identify the Source Requirements

Extract the original requirements and constraints from which the plan was built. Sources include:

The user's original request or message

A linked Jira ticket or design document

Constraints stated earlier in the conversation

Present these as a numbered reference list at the top of your output under a

Source Requirements

heading. Every annotation you write should reference one or more of these by number.

Step 2: Reproduce and Annotate

Reproduce the original plan in full. After each section or step, insert annotations where issues are found.

Step 3: Apply Audit Categories

1. Requirements Traceability

Does every element map to a stated requirement or constraint?

Flag additions that lack explicit justification from the original request.

2. YAGNI Compliance

Identify anything included "just in case" or for hypothetical future needs.

Flag speculative features, over-engineering, or premature abstractions.

3. Assumption Audit

For each assumption identified:

Attempt to verify it through the plan text and source requirements

Search the codebase with

Grep

/

Glob

/

Read

for evidence

If

$2

is

true

or omitted, use

WebSearch

to check against current best practices

If the assumption

cannot be verified

through any of the above — use

AskUserQuestion

to ask the user directly

Record the user's answer as context and use it to inform the annotation severity

Step 4: Summary

After the annotated plan, provide:

Annotation count

by category and by expert

Confidence assessment

What are you most and least certain about?

Resolved Assumptions

List what was clarified with the user via
AskUserQuestion
and how it affected annotations
Open Questions: Only for cases where the user chose not to answer or the answer was ambiguous Output Structure

Source Requirements 1. < requirement from user's original request

2. < constraint from ticket or conversation

...

Annotated Plan < original plan content reproduced exactly

// annotation made by < Expert Name

: < severity

< text referencing requirement number

< more original plan content

...

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|
|
Requirements Traceability
|
N
|
N
|
N
|
|
YAGNI Compliance
|
N
|
N
|
N
|
|
Assumption Audit
|
N
|
N
|
N
|
**
Confidence
**: ... ** Resolved Assumptions ** : - < assumption

— User confirmed: < answer

. Annotation adjusted to < severity

.

... ** Open Questions ** : - < only items where the user chose not to answer or the answer was ambiguous

Additional Resources For a complete example of an annotated audit, see examples/sample-audit.md

validate-implementation-plan

安装

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