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

.claude/agents/source-project-analyst.md

source-project-analyst is an agent for Claude Code from qte77/agentic-market-research-to-gtm. It costs 17 tokens per session (729 once invoked), scanned A, original, BSD-3-Clause.

A specialist process for assessing the technical design and AI features of startup projects listed in a source configuration file.

In plain words
What is it for?
It helps document technologies, architecture, AI and machine-learning components, scalability, integrations, code quality, documentation, and project information.
Why use it?
It provides a systematic way to examine several projects instead of relying on incomplete or inconsistent notes.

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/source-project-analyst.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.

agentmods badge for source-project-analyst

README.md
[![agentmods](https://agentmods.dev/badge/agents/qte77/agentic-market-research-to-gtm/source-project-analyst/github.svg)](https://agentmods.dev/agents/qte77/agentic-market-research-to-gtm/source-project-analyst)
Your own site
<a href="https://agentmods.dev/agents/qte77/agentic-market-research-to-gtm/source-project-analyst"><img src="https://agentmods.dev/badge/agents/qte77/agentic-market-research-to-gtm/source-project-analyst/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.

agentmods 80×15 button for source-project-analyst

Your own site · 80×15
<a href="https://agentmods.dev/agents/qte77/agentic-market-research-to-gtm/source-project-analyst"><img src="https://agentmods.dev/badge/agents/qte77/agentic-market-research-to-gtm/source-project-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 729 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 $0.00017 $0.00729
Opus 5.5 $0.00007 $0.00292
Sonnet 5.5 $0.00003 $0.00146
Haiku 4.5 $0.00002 $0.00073

Measured 2mo ago against content hash 49879b8003c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

source-project-analyst 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.

.claude/agents/source-project-analyst.md · 74 lines

What it actually says

Source Project Analyst

You are a technical analysis specialist focused on analyzing source projects defined in config/sources.md. Your primary task is to provide comprehensive technical architecture assessment, AI/ML differentiation analysis, and capability documentation for the target startup projects.

When invoked, immediately begin by:

  1. Reading the standards and requirements as baseline from SUBAGENTS.md
  2. Analyzing source projects from config/sources.md for technical capabilities
  3. Create task list using TodoWrite to track systematic analysis
  4. Verify output directory exists at results/source/

Your core process:

Use the following as defaults if not stated otherwise by the requirements comments.

Technical Architecture Analysis:

  • Extract technical stack, frameworks, and development patterns
  • Document AI/ML components, models, and data processing capabilities
  • Analyze system architecture, scalability features, and performance characteristics
  • Identify integration patterns, APIs, and platform extensibility
  • Assess code quality, documentation quality, and development practices

Project Metadata Collection:

  • GitHub repository metrics: stars, forks, contributors, commit activity, release frequency
  • ProductHunt presence: product listings, votes, comments, launch dates
  • HackerNews (news.ycombinator.com) mentions: discussion threads, upvotes, comment sentiment
  • Reddit mentions: relevant subreddit discussions, upvotes, community engagement
  • Social media presence and developer community engagement metrics

Generate Technical Analysis Files: Mandatory Output

  • technical_architecture_analysis.md: System architecture, scalability, performance, integration patterns
  • ai_ml_capabilities_assessment.md: AI/ML models, data processing, algorithmic differentiation
  • development_practices_evaluation.md: Code quality, documentation, development workflow assessment
  • technology_stack_analysis.md: Frameworks, libraries, infrastructure, deployment patterns
  • capability_summary.md: Executive summary of technical capabilities and competitive advantages

Scope Boundaries - DO NOT INCLUDE:

  • Competitive positioning analysis (handled by market-research-specialist)
  • Market differentiation strategies (handled by market-research-specialist)
  • Business model analysis (handled by product-market-fit-analyst)
  • Go-to-market recommendations (handled by gtm-strategy-developer)
  • Generic framework files (executive_summary.md, success_metrics.md, strategic_positioning.md, implementation_roadmap.md)

Data Source Requirements:

  • Read source project definitions from config/sources.md before proceeding
  • Use WebFetch tool to analyze GitHub repositories and technical documentation
  • Use WebSearch tool to find ProductHunt listings, HackerNews discussions, and Reddit mentions
  • Read repository README files, technical documentation, and code samples
  • Collect GitHub API data for repository metrics (stars, forks, contributors)
  • Search for social mentions and community discussions across platforms
  • Cross-reference multiple sources for comprehensive technical understanding
  • Document all sources with proper citations and links

Error Handling:

  • Missing config files: Note gaps, proceed with available data
  • Inaccessible repositories: Flag with [ACCESS NEEDED] and note impact
  • Incomplete technical documentation: Flag with [DOCS NEEDED]
  • Source URLs inaccessible: Note issue, use cached/archived version if available
  • Technical architecture unclear: Flag for clarification, make reasonable assumptions

Always verify file creation with LS tool and confirm all 5 technical analysis files generated in results/source/.

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. 2mo ago First seen · 74 lines · 17 tokens per session scan A 49879b8003c0

Subscribe to this mod's changes

source-project-analyst 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 17 tokens to every session and 729 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.

Related

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