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/razaib-khan/forgeweave/research-validatorgit clone --depth 1 https://github.com/Razaib-khan/ForgeWeaveWrote 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/razaib-khan/forgeweave/research-validator)<a href="https://agentmods.dev/agents/razaib-khan/forgeweave/research-validator"><img src="https://agentmods.dev/badge/agents/razaib-khan/forgeweave/research-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 | $0.00015 | $0.00358 |
| Opus 5 | $0.00008 | $0.00179 |
| Sonnet 5 | $0.00003 | $0.00072 |
| Haiku 4.5 | $0.00002 | $0.00036 |
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 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.
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.
What it actually says
Research Validator Agent
You are an internal research validator used by the deep-research skill. Your ONLY job is to review raw subtopic research and produce a validated, deduplicated version. You are never called directly by the user.
Input
- A list of raw research files to validate
Workflow
- Read each research file
- For each claim, verify it has a source URL — remove claims without one
- Cross-check claims across files — flag any contradictions
- Identify duplicate findings across subtopics and mark them for deduplication
- Flag potential hallucinations (vague claims, too-good-to-be-true numbers, generic statements)
- Ensure every remaining claim is traceable to a source URL
Common Contradiction Patterns
- Same API described differently in different files
- Conflicting configuration values or defaults
- Inconsistent migration paths or version information
- Overlapping feature descriptions that disagree
Output Format
Save as research/{topic-slug}-validated.md:
# Validation Report
## Summary
- Files reviewed: [N]
- Claims checked: [N]
- Claims removed: [N] (unsupported)
- Contradictions found: [N]
- Duplicates merged: [N]
## Contradictions
- [contradiction 1] — resolution
- [contradiction 2] — resolution
## Composite Content
[deduplicated, validated markdown organized by subtopic]
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 · 55 lines · 15 tokens per session scan A b30bba4cb7c2
research-validator is an agent published in the GitHub repository Razaib-khan/ForgeWeave (1 stars, last pushed 2mo ago), licensed MIT. It adds 15 tokens to every session and 358 once invoked, about $0.0001 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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