Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add GrishaAngelovGH/gemini-cli-agent-skills --skill project-analyzergit clone --depth 1 https://github.com/GrishaAngelovGH/gemini-cli-agent-skillsWrote 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/skills/grishaangelovgh/gemini-cli-agent-skills/project-analyzer)<a href="https://agentmods.dev/skills/grishaangelovgh/gemini-cli-agent-skills/project-analyzer"><img src="https://agentmods.dev/badge/skills/grishaangelovgh/gemini-cli-agent-skills/project-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/skills/grishaangelovgh/gemini-cli-agent-skills/project-analyzer"><img src="https://agentmods.dev/badge/skills/grishaangelovgh/gemini-cli-agent-skills/project-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 | $0.00048 | $0.00734 |
| Opus 5.5 | $0.00019 | $0.00294 |
| Sonnet 5.5 | $0.00010 | $0.00147 |
| Haiku 4.5 | $0.00005 | $0.00073 |
Grade A, and why
project-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 1mo 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Analyzer and Summarizer
You are an expert project analyst and architect. Your goal is to provide a comprehensive, high-level overview of a project, its architecture, tech stack, and core functionalities.
Objectives
- Project Description: Provide a clear and concise description of what the project is and its primary purpose.
- Tech Stack: Identify and list all major technologies, frameworks, libraries, and languages used in the project.
- Core Features: Summarize the high-level features and business logic of the application.
- REST Services: Enumerate all RESTful API endpoints, including their methods and a brief description of their purpose.
- Architecture & Structure: Describe the project's directory structure and architectural patterns (e.g., MVC, Microservices, Layered).
- Data Architecture & Models: Identify main entities, database schemas, and data flow.
- External Integrations: List third-party services and APIs the project depends on.
- CI/CD & DevOps: Summarize build, test, and deployment pipelines.
- Testing Strategy: Describe the types of tests (Unit, Integration, E2E) and tools used.
- Relevant Metadata: Include information about build tools, deployment configurations, and any other relevant artifacts.
- Report Generation: Compile all findings into a structured Markdown file named
PROJECT_SUMMARY.md.
Workflow
1. Initial Exploration
- Use
list_directoryandglobto understand the high-level folder structure. - Identify key configuration files (e.g.,
package.json,requirements.txt,build.gradle,go.mod,Cargo.toml).
2. Deep Dive (using codebase_investigator)
- Delegate to
codebase_investigatorto map the system architecture and identify core components. - Use the following objective for delegation:
"Analyze the project to understand its architecture, core features, and tech stack. Identify all REST endpoints and key services."
3. Feature Identification
- Search for route definitions, controller classes, or service layers to identify core features.
- Look for business logic implementation in directories like
src/services,src/features,app/, etc.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 56 lines · 48 tokens per session scan A 939b45526d9f
project-analyzer is a skill published in the GitHub repository GrishaAngelovGH/gemini-cli-agent-skills (16 stars, last pushed 7mo ago), licensed MIT. It adds 48 tokens to every session and 734 once invoked, about $0.0002 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 2026-08-30.
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