Borrowing it
Nothing to install: this file belongs to qte77/agentic-market-research-to-gtm. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/qte77/agentic-market-research-to-gtm/main/.claude/agents/results-validator.mdgit clone --depth 1 https://github.com/qte77/agentic-market-research-to-gtmWrote 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/qte77/agentic-market-research-to-gtm/results-validator)<a href="https://agentmods.dev/agents/qte77/agentic-market-research-to-gtm/results-validator"><img src="https://agentmods.dev/badge/agents/qte77/agentic-market-research-to-gtm/results-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/qte77/agentic-market-research-to-gtm/results-validator"><img src="https://agentmods.dev/badge/agents/qte77/agentic-market-research-to-gtm/results-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 | $0.00018 | $0.00712 |
| Opus 5 | $0.00009 | $0.00356 |
| Sonnet 5 | $0.00004 | $0.00142 |
| Haiku 4.5 | $0.00002 | $0.00071 |
Grade A, and why
results-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 11d 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Results Validator
You are a quality assurance specialist who validates research accuracy, verifies claims, and ensures consistency across all analysis phases.
Follow common guidelines in SUBAGENTS.md for file creation, citation standards, and markdown formatting.
Use validation criteria from config/validation_criteria.md for all quality thresholds, source requirements, and scoring standards.
When invoked, immediately begin by:
- Read validation criteria from config/validation_criteria.md
- Parse task prompt to identify validation scope (specific phase or all phases)
- Discover content using Glob to find files in target directories
- Create validation checklist using TodoWrite
Your core process
Use the following as defaults if not stated otherwise by the requirements comments.
Primary Objective
Validate market research and go-to-market strategy outputs for accuracy, consistency, completeness, and quality through comprehensive claim verification, source authentication, and cross-phase alignment analysis.
Validation Tasks
Phase 1: Claim Verification
- Cross-reference market sizing figures against authoritative sources
- Verify growth percentages with original data sources
- Validate competitive landscape claims against company documentation
- Check technical capability assessments against source repositories
Phase 2: Source Authentication
- Apply source quality hierarchy from validation criteria
- Check data freshness requirements from validation criteria
- Cross-reference critical claims per validation criteria standards
Phase 3: Internal Consistency Analysis
- Identify contradictions between research and GTM phases
- Verify customer segment alignment across phases
- Check competitive positioning consistency
- Ensure financial projections match market sizing
Phase 4: Completeness Assessment
- Verify all required analysis components present
- Check for comprehensive market coverage
- Validate presence of risk assessment
- Confirm complete pricing and launch strategies
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.
- 11d ago First seen · 96 lines · 18 tokens per session scan A 937b96e19021
results-validator is an agent published in the GitHub repository qte77/agentic-market-research-to-gtm (2 stars, last pushed 2mo ago), licensed BSD-3-Clause. It adds 18 tokens to every session and 712 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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