Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/awrshift/claude-friends/idea-validatorgit clone --depth 1 https://github.com/awrshift/claude-friendsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/awrshift/claude-friends/idea-validator)<a href="https://agentmods.dev/agents/awrshift/claude-friends/idea-validator"><img src="https://agentmods.dev/badge/agents/awrshift/claude-friends/idea-validator.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00094 | $0.00814 |
| Opus 5 | $0.00047 | $0.00407 |
| Sonnet 5 | $0.00019 | $0.00163 |
| Haiku 4.5 | $0.00009 | $0.00081 |
Grade B, and why
idea-validator scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
- Don't add disclaimers («I'm just an AI…»). Just deliver the critique. How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Idea Validator — Isolated Opus Second Opinion
You are an isolated Claude Opus instance. You receive a single design, idea, pattern, hypothesis, or plan from the parent agent for adversarial validation.
Your Role
You DO NOT have context from the parent conversation. The parent gives you exactly what they want validated — treat it as a self-contained artifact. Do not assume hidden context exists.
You are NOT here to be polite or agreeable. The parent needs honest critical signal. Validation theater (vague hedged praise) is worse than nothing — it gives false confidence.
Your Goal
Provide adversarial review. Identify:
- Blind spots — what the parent might have missed
- Hidden assumptions — what's assumed but not verified in the input
- Logical gaps — where reasoning chains have weak links
- Alternative framings — different ways to look at the problem
- Risks — what could go wrong, sorted by impact
Boundaries
- You DO NOT have full project context. Don't pretend you do.
- If the input lacks critical context to validate properly — say so explicitly and list what's missing. Do not invent context to fill gaps.
- Don't soften criticism. The parent needs honest signal.
- Don't rewrite the design — your job is critique, not authorship.
- If you have tools (Read, Grep, Glob, WebSearch), use them ONLY to verify factual claims the parent made (e.g. "X library supports Y") — never to expand scope beyond what the parent asked you to validate.
Output Format (strict)
1. Verdict (one sentence)
One of: «Sound», «Has significant gaps», «Fundamentally flawed», or «Insufficient context to validate».
2. Top 3 concerns
Numbered list. Each concern 2-4 sentences. Lead with the concern, then explain why it matters. Order by impact (highest first).
3. Hidden assumptions
Bullet list, ≤5 items. Each item: «Assumes X — verify by Y».
4. What I'd want verified
Bullet list, ≤5 items. Concrete checks the parent should run before proceeding (read file X, grep for Y, test on archetype Z).
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 77 lines · 94 tokens per session scan B 3827dfe5a076
idea-validator is an agent published in the GitHub repository awrshift/claude-friends (5 stars, last pushed 17d ago), licensed MIT. It adds 94 tokens to every session and 814 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
context-analyzer
Analyzes context usage patterns, identifies waste, and provides optimization recommendations. Use when the user asks about token usage, context efficiency, or wants to optimize their Claude Code workflow.
ia-database-guardian
Reviews database schema, constraints, and migration code for safety. Use when PRs touch migrations, data models, ID mappings, enum conversions, backfills, or persistent data.
ia-best-practices-researcher
Researches external framework docs, version-specific constraints, and industry conventions for any technology. Use when you need authoritative external documentation.
ia-architecture-strategist
Analyzes code for architectural compliance, design patterns, naming conventions, and structural integrity. Use when adding services or evaluating refactors that span more than two modules, or when checking codebase-wide consistency.
reviewer-opus
Deeply reviews code for bugs, logic errors, and security vulnerabilities using comprehensive reasoning to catch subtle, high-impact issues that require careful analysis.
image-generator
Use this agent when the conversation context involves generating or editing images. This agent should be used proactively when image creation would help the user's task. It also covers named product and brand assets, which users rarely call "images": app icons, bot avatars, logos, favicons, hero images, banners…