add-agent

name	add-agent
description	Scaffold a new review agent from a description or URL. Use this whenever the user wants to add a new review agent, detect a new category of code issue, or says things like "add an agent for X", "create a reviewer for Y", "I want to check for Z in code reviews". Also use when given a URL to a coding standard or best-practices guide that should become a review agent.
argument-hint	<description-or-url> [--name <name>] [--tier small|mid|frontier] [--context diff-only|full-file|project-structure] [--lang <exts>] [--dry]
user-invocable	true
allowed-tools	Read, Write, Grep, Glob, WebFetch, Skill(eval-audit *)

Add Agent

Role: implementation. This skill scaffolds new review agent files — it generates compliant agent definitions from a description or reference URL.

You have been invoked with the /add-agent skill. Generate a new review agent .md file that passes eval compliance checks.

Implementation constraints

1. Follow the agent template exactly. Every generated agent must have: frontmatter, Output JSON block, Status/Severity lines, Model tier, Context needs, ## Skip, ## Detect, ## Ignore — in that order.
2. Do not invent detection rules. Derive rules from the user's description or URL content. If the description is vague, ask before guessing.
3. Respect scope boundaries. Check existing agents for overlap before generating. Warn the user if the new agent's scope conflicts with an existing one.
4. Be concise. Detection rules should be short phrases, not paragraphs. Skip/Ignore sections should be one-liners where possible.

Parse Arguments

Arguments: $ARGUMENTS

Required: description or URL ($0) — either a text description of what the agent should review, or a URL to fetch guidance from.

Optional:

• --name <name>: Agent name in kebab-case ending in -review (derived from description if omitted)
• --tier small|mid|frontier: Model tier (default: small)
• --context diff-only|full-file|project-structure: Context needs (default: diff-only)
• --lang <exts>: Comma-separated file extensions for language-specific scope (e.g., js,ts,jsx,tsx)
• --dry: Preview the generated agent without writing to disk

Steps

1. Parse input

• If $0 starts with http:// or https://, fetch it with WebFetch and extract the review focus from the page content.
• Otherwise, treat $0 as a text description of the agent's purpose.

2. Derive agent name

If --name was not provided:

• Extract key concept from the description (e.g., "React hook violations" → react-hook)
• Append -review if not already present
• Convert to kebab-case

3. Check for scope overlap

Read all files in agents/*.md. For each existing agent:

• Compare the ## Detect section topics against the new agent's intended scope
• If overlap is found, warn the user: ⚠ Possible overlap with <existing-agent>: <overlapping topic>
• Continue unless the user cancels

4. Generate agent file

Build the agent .md using this exact template:

---
name: <name>
description: <one-line summary>
tools: Read, Grep, Glob
model: <haiku|sonnet|opus>
---

# <Title Case Name>

<If --lang provided>
Scope: <Language> files only (<extensions>).
Skip this agent entirely if the project has no <language> files.
</If>

Output JSON:
\```json
{"status": "pass|warn|fail|skip", "issues": [...], "summary": ""}
\```

Status: pass=<no issues>, warn=<minor concerns>, fail=<critical issues>
Severity: error=<must fix>, warning=<should fix>, suggestion=<consider>

Model tier: <tier>
Context needs: <context>

## Skip

Return `{"status": "skip", "issues": [], "summary": "<reason>"}` when:
 
 



:
 
 

:
 
 



 (handled by other agents)

Map --tier to frontmatter model:: small→haiku, mid→sonnet, frontier→opus.

5. Write or preview

• If --dry was passed, display the generated content and stop.
• Otherwise, write to agents/<name>.md.

6. Run eval audit

Run /eval-audit agents/<name>.md --fix to validate compliance. If any checks fail after auto-fix, report the remaining issues.

7. Update CLAUDE.md

Add a row to the agents table in CLAUDE.md:

| <name> | <short focus description> | <tier> |

Insert alphabetically by agent name within the existing table.

8. Report

Agent created: agents/<name>.md
Model tier: <tier>
Context needs: <context>
Eval audit: PASS|WARN (details)