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/rodrigorjsf/prd-generator-plugin/research-validatorgit clone --depth 1 https://github.com/rodrigorjsf/prd-generator-pluginWhat 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 | $0.00064 | $0.01186 |
| Opus 5 | $0.00032 | $0.00593 |
| Sonnet 5 | $0.00013 | $0.00237 |
| Haiku 4.5 | $0.00006 | $0.00119 |
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.
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_officialisfalse, immediately flag asnon_official_source— this alone is grounds for rejection - Does the domain belong to the official vendor, standards body, or government authority?
- Red flags:
.iodomains that aren't official products,.comblogs,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_guidancepointing 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)?
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.
- 2d ago First seen · 125 lines · 64 tokens per session scan A 67746491fba7
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.
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