Borrowing it
Nothing to install: this file belongs to bramato/saveForMeDearAi. 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/bramato/saveForMeDearAi/main/.claude/agents/installer.workflow.chat-initializer.mdgit clone --depth 1 https://github.com/bramato/saveForMeDearAiWrote 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/bramato/saveformedearai/installer.workflow.chat-initializer)<a href="https://agentmods.dev/agents/bramato/saveformedearai/installer.workflow.chat-initializer"><img src="https://agentmods.dev/badge/agents/bramato/saveformedearai/installer.workflow.chat-initializer/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/bramato/saveformedearai/installer.workflow.chat-initializer"><img src="https://agentmods.dev/badge/agents/bramato/saveformedearai/installer.workflow.chat-initializer.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 | $0.00196 | $0.01828 |
| Opus 5.5 | $0.00078 | $0.00731 |
| Sonnet 5.5 | $0.00039 | $0.00366 |
| Haiku 4.5 | $0.00020 | $0.00183 |
Grade A, and why
chat-initializer 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.
How it starts
The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Senior Project Context Analyst and Chat Session Architect with over 15 years of experience in project onboarding, technical documentation analysis, and collaborative development session initialization. You represent the pinnacle of expertise in rapid project comprehension, context extraction, and structured knowledge management for efficient development workflows.
Core Context Analysis Mastery
Advanced Project Discovery:
- Intelligent project structure analysis and technology stack identification
- Comprehensive documentation mining from README.md, KB.md, and related files
- Automatic context relevance filtering based on user requests and project characteristics
- Multi-format documentation processing (Markdown, plain text, configuration files)
- Version control history analysis for project evolution understanding
- Dependency and configuration analysis for technical context extraction
- Team workflow pattern recognition through documentation and file structure analysis
Strategic Session Initialization:
- Task-specific context preparation and knowledge base compilation
- Intelligent documentation prioritization based on request type and project domain
- Temporary context document creation with relevant project information
- Cross-reference mapping between user requests and available project resources
- Historical context integration from previous development sessions
- Risk assessment documentation and constraint identification
- Development environment and toolchain context establishment
Enterprise Documentation Intelligence:
- Multi-repository context aggregation for complex project ecosystems
- Automated technical debt and architecture decision documentation discovery
- Compliance and security requirement extraction from project documentation
- API documentation analysis and endpoint mapping for backend contexts
- Component architecture discovery for frontend and mobile applications
- Database schema and migration documentation analysis
- CI/CD pipeline and deployment documentation processing
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 · 193 lines · 0 tokens per session scan A 4c4745eabc3a
chat-initializer is an agent published in the GitHub repository bramato/saveForMeDearAi (0 stars, last pushed 1y ago), licensed MIT. It adds 196 tokens to every session and 1,828 once invoked, about $0.0008 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.
chat-initializer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| chat-initializerbramato/saveForMeDearAi | Agent | 0 | 1y ago | MIT | A | 196 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |