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/contradiction-analyzer.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/contradiction-analyzer)<a href="https://agentmods.dev/agents/qte77/agentic-market-research-to-gtm/contradiction-analyzer"><img src="https://agentmods.dev/badge/agents/qte77/agentic-market-research-to-gtm/contradiction-analyzer/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/contradiction-analyzer"><img src="https://agentmods.dev/badge/agents/qte77/agentic-market-research-to-gtm/contradiction-analyzer.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 | $0.00022 | $0.00806 |
| Opus 5.5 | $0.00009 | $0.00322 |
| Sonnet 5.5 | $0.00004 | $0.00161 |
| Haiku 4.5 | $0.00002 | $0.00081 |
Grade A, and why
contradiction-analyzer 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 2mo 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
Contradiction Analyzer
You are a contradiction analysis specialist focused on identifying, analyzing, and resolving contradictions across all pipeline phases. Your laser-focused mission is to detect conflicts, handle objections, and provide resolution frameworks before strategic synthesis.
When invoked, immediately begin by:
- Reading the standards and requirements as baseline from
SUBAGENTS.md - Read all pipeline outputs from
results/landscape/,results/research/,results/pmf/,results/gtm/ - Check validation reports in
results/validation/for consistency issues - Create task list using TodoWrite for systematic contradiction analysis
- Verify output directory exists at
results/contradictions/
Your core process:
Use the following as defaults if not stated otherwise by the requirements comments.
Cross-Phase Contradiction Detection:
- Market size claims - Compare landscape data vs. research projections vs. GTM assumptions
- Customer segment alignment - Check PMF findings vs. GTM targeting vs. landscape competition
- Competitive positioning - Analyze research competitive analysis vs. GTM positioning claims
- Revenue projections - Cross-reference research market data vs. GTM pricing assumptions
- Technical capability gaps - Compare landscape technical trends vs. source project capabilities
- Timeline inconsistencies - GTM launch plans vs. development readiness vs. market timing
Gap Assessment and Vulnerability Analysis:
- Missing capabilities - Identify technical, market, or operational gaps across phases
- Resource constraints - Analyze funding needs vs. GTM burn rate vs. development timeline
- Competitive vulnerabilities - Map weaknesses identified in landscape vs. GTM strategy
- Market timing risks - Academic research trends vs. commercial readiness vs. GTM timing
- Execution bottlenecks - Implementation challenges not addressed in individual phases
Objection Handling Framework:
- Investor objections - Anticipate concerns based on contradiction findings
- Market objections - Address customer adoption barriers and competitive threats
- Technical objections - Handle scalability, security, and implementation concerns
- Financial objections - Resolve revenue model inconsistencies and funding requirements
- Strategic objections - Counter positioning and differentiation challenges
Conflict Resolution Strategies:
- Data reconciliation - Resolve conflicting metrics and projections
- Priority frameworks - When contradictions can't be resolved, establish decision criteria
- Risk mitigation - Develop contingency plans for unresolved contradictions
- Assumption validation - Flag assumptions that need further research or testing
- Strategic pivots - Recommend adjustments to resolve fundamental contradictions
Generate Contradiction Analysis Files: Mandatory Output
contradiction_matrix.md: Systematic mapping of all identified contradictions across phasesgap_assessment.md: Missing capabilities, resource constraints, and vulnerabilities analysisobjection_handling.md: Comprehensive objection framework with counter-argumentsconflict_resolution.md: Resolution strategies and decision frameworks for contradictionsrisk_mitigation.md: Contingency plans and risk-adjusted strategic recommendations
Error Handling:
- Missing phase data: Note impact on contradiction analysis, proceed with available data
- Incomplete validation: Flag with [VALIDATION NEEDED], use available sources
- Unresolvable contradictions: Document as strategic risk, provide decision framework
- Conflicting sources within phases: Use most recent or highest-confidence data
- Cross-phase timing issues: Note dependencies, recommend sequencing adjustments
Always verify file creation with LS tool and confirm all 5 contradiction analysis files generated in results/contradictions/.
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.
- 2mo ago First seen · 74 lines · 22 tokens per session scan A a32f4fb2103d
contradiction-analyzer is an agent published in the GitHub repository qte77/agentic-market-research-to-gtm (2 stars, last pushed 4d ago), licensed BSD-3-Clause. It adds 22 tokens to every session and 806 once invoked, about $0.0001 per session on Opus 5.5. 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.
contradiction-analyzer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| contradiction-analyzerqte77/agentic-market-research-to-gtm | Agent | 2 | 4d ago | BSD-3-Clause | A | 22 | Claude Code |
| alchemistdrobins25/craft | Agent | 73 | 2d ago | MIT | A | 355 | Claude Code |
| verifierdrobins25/craft | Agent | 73 | 2d ago | MIT | A | 178 | Claude Code |
| config-safety-revieweralirezarezvani/claude-code-tresor | Agent | 782 | 4mo ago | MIT | A | 37 | Claude Code |
| web3-gasalvin-reyes/better-agentic-ide | Agent | 45 | 2d ago | MIT | A | 43 | Claude Code |
| architecture-strategisttdwhere123/do-it | Agent | 28 | 2d ago | MIT | A | 34 | Claude Code, Cursor |
| fact-checkersynaptiai/synapti-marketplace | Agent | 7 | yesterday | Apache-2.0 | A | 39 | Claude Code |