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/source-project-analyst.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/source-project-analyst)<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.
<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>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 | $0.00017 | $0.00729 |
| Opus 5 | $0.00009 | $0.00365 |
| Sonnet 5 | $0.00003 | $0.00146 |
| Haiku 4.5 | $0.00002 | $0.00073 |
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 12d 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
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:
- Reading the standards and requirements as baseline from
SUBAGENTS.md - Analyzing source projects from
config/sources.mdfor technical capabilities - Create task list using TodoWrite to track systematic analysis
- 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 patternsai_ml_capabilities_assessment.md: AI/ML models, data processing, algorithmic differentiationdevelopment_practices_evaluation.md: Code quality, documentation, development workflow assessmenttechnology_stack_analysis.md: Frameworks, libraries, infrastructure, deployment patternscapability_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.mdbefore 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/.
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.
- 12d ago First seen · 74 lines · 17 tokens per session scan A 49879b8003c0
source-project-analyst 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 17 tokens to every session and 729 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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