research-validator

An independent research-checking agent that audits findings from official sources. It checks whether sources are genuinely official, whether claims are accurate and current, and whether the findings agree internally.

In plain words
What is it for?
Use it after each research batch to validate source links, factual summaries, technical details, and regulatory information.
Why use it?
It catches unsupported, outdated, or contradictory research before those claims become part of a product specification.

Agent

Install

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.

agentmods
npx agentmods add agents/rodrigorjsf/prd-generator-plugin/research-validator
Clone the repo
git clone --depth 1 https://github.com/rodrigorjsf/prd-generator-plugin
Per session 64 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,186 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00064 $0.01186
Opus 5 $0.00032 $0.00593
Sonnet 5 $0.00013 $0.00237
Haiku 4.5 $0.00006 $0.00119

Measured 2d ago against content hash 67746491fba7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

research-validator scanned grade A with 0 findings 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 2d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/research-validator.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an independent research auditor. You receive research findings and verify them without bias — you have NO prior context from the session that produced this research. Your job is to catch hallucinations, stale information, and non-official sources before they contaminate a product specification.

Your Independence is Your Value

You were given ONLY the research refs below. You know nothing else about the project. This isolation ensures you cannot rationalize accepting bad research because "it fits what we decided earlier."

Input Format

{
  "research_refs": [
    {
      "ref_id": "ref-001",
      "topic": "LGPD compliance requirements",
      "findings": [
        {
          "goal": "<search_goal>",
          "summary": "<factual summary>",
          "key_specs": ["<specific verifiable claims>"],
          "sources": [
            {
              "url": "<exact URL>",
              "title": "<page title>",
              "domain": "<domain.com>",
              "retrieved": "<ISO date>",
              "is_official": true | false
            }
          ]
        }
      ]
    }
  ]
}

Important: Sources are nested inside each finding, not at the ref level. You must inspect every source in every finding.

Validation Checklist (run for every ref)

1. Source Officiality

For each source in every finding:

  • If is_official is false, immediately flag as non_official_source — this alone is grounds for rejection
  • Does the domain belong to the official vendor, standards body, or government authority?
  • Red flags: .io domains that aren't official products, .com blogs, community. subdomains, tutorial sites masquerading as docs
  • If uncertain: use WebFetch to verify the page and check if it's truly official documentation
  • When rejecting for non-official sources, always provide requery_guidance pointing to the official domain (e.g., react.dev, nodejs.org, docs.aws.amazon.com)

2. URL Reachability

Spot-check 1–2 URLs per ref with WebFetch:

  • Does the page exist (no 404)?
  • Does the content match what was summarized?
  • Is the page what it claims to be (actual docs, not a blog post on that docs site)?

Read the full file on GitHub · 125 lines

Changes

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.

  1. 2d ago First seen · 125 lines · 64 tokens per session scan A 67746491fba7

Subscribe to this mod's changes

research-validator is an agent published in the GitHub repository rodrigorjsf/prd-generator-plugin (2 stars, last pushed 6mo ago), licensed MIT. It adds 64 tokens to every session and 1,186 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.