agentic-market-research-to-gtm: Agent for Claude Code

.claude/agents/contradiction-analyzer.md

contradiction-analyzer is an agent for Claude Code from qte77/agentic-market-research-to-gtm. It costs 22 tokens per session (806 once invoked), scanned A, original, BSD-3-Clause.

An agent for finding contradictions and handling objections across a multi-stage business strategy process.

In plain words
What is it for?
Use it to compare outputs from landscape, research, product-market-fit, and go-to-market work, check validation reports, and record unresolved conflicts.
Why use it?
Conflicting market, customer, competitor, or revenue assumptions can make a final strategy unreliable if they are not identified first.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions subagents; names the TodoWrite tool.

This is qte77/agentic-market-research-to-gtm's own configuration. It tells Claude Code how to work on agentic-market-research-to-gtm itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agentic-market-research-to-gtm configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/qte77/agentic-market-research-to-gtm/main/.claude/agents/contradiction-analyzer.md
Clone the repo
git clone --depth 1 https://github.com/qte77/agentic-market-research-to-gtm

Made for: Claude Code.

Wrote 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.

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README.md
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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.

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Per session 22 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 806 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00022 $0.00806
Opus 5 $0.00011 $0.00403
Sonnet 5 $0.00004 $0.00161
Haiku 4.5 $0.00002 $0.00081

Measured 11d ago against content hash a32f4fb2103d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

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 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.

.claude/agents/contradiction-analyzer.md · 74 lines

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:

  1. Reading the standards and requirements as baseline from SUBAGENTS.md
  2. Read all pipeline outputs from results/landscape/, results/research/, results/pmf/, results/gtm/
  3. Check validation reports in results/validation/ for consistency issues
  4. Create task list using TodoWrite for systematic contradiction analysis
  5. 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 phases
  • gap_assessment.md: Missing capabilities, resource constraints, and vulnerabilities analysis
  • objection_handling.md: Comprehensive objection framework with counter-arguments
  • conflict_resolution.md: Resolution strategies and decision frameworks for contradictions
  • risk_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/.

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. 11d ago First seen · 74 lines · 22 tokens per session scan A a32f4fb2103d

Subscribe to this mod's changes

contradiction-analyzer 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 22 tokens to every session and 806 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.