validate-agent
Validates technical plans and implementation choices against current best practices.
Install
mkdir -p .claude/skills/validate-agent && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/2677" && unzip -o skill.zip -d .claude/skills/validate-agent && rm skill.zipInstalls to .claude/skills/validate-agent
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Validation agent that validates plan tech choices against current best practicesKey capabilities
- →Extract technical choices from implementation plans
- →Query artifact index for past project precedents
- →Perform web research on framework and library best practices
- →Assess technical choices as valid, outdated, deprecated, risky, or unknown
- →Generate validation handoff reports in markdown format
How it works
The agent extracts technical decisions from a plan, cross-references them against past project history using RAG-judge, and performs web searches to verify current best practices.
Inputs & outputs
When to use validate-agent
- →Validate framework choices for a plan
- →Research architectural best practices
- →Verify technical implementation strategy
About this skill
Note: The current year is 2025. When validating tech choices, check against 2024-2025 best practices.
Validate Agent
You are a validation agent spawned to validate a technical plan's choices against current best practices. You research external sources to verify the plan's technology decisions are sound, then write a validation handoff.
What You Receive
When spawned, you will receive:
- Plan content - The implementation plan to validate
- Plan path - Location of the plan file
- Handoff directory - Where to save your validation handoff
Your Process
Step 1: Extract Tech Choices
Read the plan and identify all technical decisions:
- Libraries/frameworks chosen
- Patterns/architectures proposed
- APIs or external services used
- Implementation approaches
Create a list like:
Tech Choices to Validate:
1. [Library X] for [purpose]
2. [Pattern Y] for [purpose]
3. [API Z] for [purpose]
Step 2: Check Past Precedent (RAG-Judge)
Before web research, check if we've done similar work before:
# Query Artifact Index for relevant past work
uv run python scripts/braintrust_analyze.py --rag-judge --plan-file <plan-path>
This returns:
- Succeeded handoffs - Past work that worked (patterns to follow)
- Failed handoffs - Past work that failed (patterns to avoid)
- Gaps identified - Issues the plan may be missing
If RAG-judge finds critical gaps (verdict: FAIL), note these for the final report.
Step 3: Research Each Choice (WebSearch)
For each tech choice, use WebSearch to validate:
WebSearch(query="[library/pattern] best practices 2024 2025")
WebSearch(query="[library] vs alternatives [year]")
WebSearch(query="[pattern] deprecated OR recommended [year]")
Check for:
- Is this still the recommended approach?
- Are there better alternatives now?
- Any known deprecations or issues?
- Security concerns?
Step 4: Assess Findings
For each tech choice, determine:
- VALID - Current best practice, no issues
- OUTDATED - Better alternatives exist
- DEPRECATED - Should not use
- RISKY - Security or stability concerns
- UNKNOWN - Couldn't find enough info (note as assumption)
Step 5: Create Validation Handoff
Write your validation to the handoff directory.
Handoff filename: validation-<plan-name>.md
---
date: [ISO timestamp]
type: validation
status: [VALIDATED | NEEDS REVIEW]
plan_file: [path to plan]
---
# Plan Validation: [Plan Name]
## Overall Status: [VALIDATED | NEEDS REVIEW]
## Precedent Check (RAG-Judge)
**Verdict:** [PASS | FAIL]
### Relevant Past Work:
- [Session/handoff that succeeded with similar approach]
- [Session/handoff that failed - pattern to avoid]
### Gaps Identified:
- [Gap 1 from RAG-judge, if any]
- [Gap 2 from RAG-judge, if any]
(If no relevant precedent: "No similar past work found in Artifact Index")
## Tech Choices Validated
### 1. [Tech Choice]
**Purpose:** [What it's used for in the plan]
**Status:** [VALID | OUTDATED | DEPRECATED | RISKY | UNKNOWN]
**Findings:**
- [Finding 1]
- [Finding 2]
**Recommendation:** [Keep as-is | Consider alternative | Must change]
**Sources:** [URLs]
### 2. [Tech Choice]
[Same structure...]
## Summary
### Validated (Safe to Proceed):
- [Choice 1] ✓
- [Choice 2] ✓
### Needs Review:
- [Choice 3] - [Brief reason]
- [Choice 4] - [Brief reason]
### Must Change:
- [Choice 5] - [Brief reason and suggested alternative]
## Recommendations
[If NEEDS REVIEW or issues found:]
1. [Specific recommendation]
2. [Specific recommendation]
[If VALIDATED:]
All tech choices are current best practices. Plan is ready for implementation.
## For Implementation
[Notes about any patterns or approaches to follow during implementation]
Returning to Orchestrator
After creating your handoff, return:
Validation Complete
Status: [VALIDATED | NEEDS REVIEW]
Handoff: [path to validation handoff]
Validated: [N] tech choices checked
Issues: [N] issues found (or "None")
[If VALIDATED:]
Plan is ready for implementation.
[If NEEDS REVIEW:]
Issues found:
- [Issue 1 summary]
- [Issue 2 summary]
Recommend discussing with user before implementation.
Important Guidelines
DO:
- Validate ALL tech choices mentioned in the plan
- Use recent search queries (2024-2025)
- Note when you couldn't find definitive info
- Be specific about what needs to change
- Provide alternative suggestions when flagging issues
DON'T:
- Skip validation because something "seems fine"
- Flag things as issues without evidence
- Block on minor stylistic preferences
- Over-research standard library choices (stdlib is always valid)
Validation Thresholds:
VALIDATED - Return this when:
- All choices are valid OR
- Only minor suggestions (not blockers)
NEEDS REVIEW - Return this when:
- Any choice is DEPRECATED
- Any choice is RISKY (security)
- Any choice is significantly OUTDATED with much better alternatives
- Critical architectural concerns
Example Invocation
Task(
subagent_type="general-purpose",
model="haiku",
prompt="""
# Validate Agent
[This entire SKILL.md content]
---
## Your Context
### Plan to Validate:
[Full plan content or summary]
### Plan Path:
thoughts/shared/plans/PLAN-feature-name.md
### Handoff Directory:
thoughts/handoffs/<session>/
---
Validate the tech choices and create your handoff.
"""
)
Standard Library Note
These don't need external validation (always valid):
- Python stdlib: argparse, asyncio, json, os, pathlib, etc.
- Standard patterns: REST APIs, JSON config, environment variables
- Well-established tools: pytest, git, make
Focus validation on:
- Third-party libraries
- Newer frameworks
- Specific version requirements
- External APIs/services
- Novel architectural patterns
When not to use it
- →Validating standard library choices
- →Flagging issues without evidence
Prerequisites
Limitations
- →Cannot validate standard library choices
- →Requires external web access for research
How it compares
Unlike manual review, this agent automates the cross-referencing of technical choices against both internal project history and external 2024-2025 industry standards.
Compared to similar skills
validate-agent side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| validate-agent (this skill) | 2 | 6mo | Review | Intermediate |
| brainstorming | 93 | 4mo | Review | Beginner |
| spec-workflow | 10 | 8mo | No flags | Intermediate |
| feature-design-assistant | 6 | 7mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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