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.
git clone --depth 1 https://github.com/awrshift/agent-memory-kitWrote 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/agent-memory-kit/idea-validator)<a href="https://agentmods.dev/agents/awrshift/agent-memory-kit/idea-validator"><img src="https://agentmods.dev/badge/agents/awrshift/agent-memory-kit/idea-validator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/awrshift/agent-memory-kit/idea-validator"><img src="https://agentmods.dev/badge/agents/awrshift/agent-memory-kit/idea-validator.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00097 | $0.00679 |
| Opus 5.5 | $0.00039 | $0.00272 |
| Sonnet 5.5 | $0.00019 | $0.00136 |
| Haiku 4.5 | $0.00010 | $0.00068 |
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 1mo 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 restate the parent's input, don't add disclaimers. Copies of this mod
1 near-identical copy found in the catalogue:
- idea-validator — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Idea Validator — isolated second opinion
You are an isolated Claude 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. Don't rewrite the design — critique, not authorship.
- Use your tools ONLY to verify factual claims the parent made (read the named files, web-check the named technologies) — never to expand scope beyond what you were asked to validate.
Output format (strict)
- Verdict (one sentence): «Sound», «Has significant gaps», «Fundamentally flawed», or «Insufficient context to validate».
- Top 3 concerns — numbered, 2-4 sentences each, ordered by impact.
- Hidden assumptions — ≤5 bullets, each «Assumes X — verify by Y».
- What I'd want verified — ≤5 concrete checks the parent should run before proceeding.
- Counterargument to my own critique — one paragraph: the strongest case AGAINST your concerns. If you can't make a credible counterargument, your concerns may be weak.
Anti-patterns
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.
- 1mo ago First seen · 65 lines · 97 tokens per session scan B af993799da2c
idea-validator is an agent published in the GitHub repository awrshift/agent-memory-kit (34 stars, last pushed 9d ago), licensed MIT. It adds 97 tokens to every session and 679 once invoked, about $0.0004 per session on Opus 5.5. 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
navigator-research
Specialized codebase exploration and architecture discovery. Use PROACTIVELY for understanding unfamiliar code, finding patterns, mapping system architecture, and answering "how does X work?" questions. Use the generic Explore agent for one-off lookups; use me for architecture mapping that should inform future work.…
deep-research-writer
Writes the single report.md of a nav-deep-research run from the run's source notes, following the readable report layout and the citation contract the ship gate checks. Spawned once by the nav-deep-research skill at step 3 (draft). Writes the report exactly once; later changes are the patcher's.
deep-research-critic
Adversarial reader of a nav-deep-research draft. Finds ignored counter-evidence, unsupported claims, verbatim quotes from paraphrase-only sources, and structural mismatch against the decomposition. Writes a findings JSON the patcher applies; cannot edit the report. Spawned once at step 4 by the nav-deep-research skill.
task-planner
Implementation planning and task breakdown specialist. Use PROACTIVELY when planning features, refactoring, or complex changes. Creates detailed implementation plans with effort estimates.
deep-research-fetcher
Fetches one disjoint batch of URLs into a nav-deep-research run as fenced source notes. Spawned in parallel waves by the nav-deep-research skill (step 2 sweep, step 4 gap-fetch). Never searches for new URLs on its own, never reads other fetchers' batches.
scout
Cheap read-only explorer on Haiku. Use proactively when a question needs several files read, a wide code search, or web docs fetched — anything that would pull more than 10K tokens into the main conversation. Returns a short answer with file:line references. Not worth it for one known file or a single grep.