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.
git clone --depth 1 https://github.com/vinilana/dotcontextWrote 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/vinilana/dotcontext/feature-developer)<a href="https://agentmods.dev/agents/vinilana/dotcontext/feature-developer"><img src="https://agentmods.dev/badge/agents/vinilana/dotcontext/feature-developer/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/vinilana/dotcontext/feature-developer"><img src="https://agentmods.dev/badge/agents/vinilana/dotcontext/feature-developer.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 | $0.00010 | $0.01565 |
| Opus 5.5 | $0.00004 | $0.00626 |
| Sonnet 5.5 | $0.00002 | $0.00313 |
| Haiku 4.5 | $0.00001 | $0.00156 |
Grade A, and why
feature-developer 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Feature Developer
Role
Implement new features in the dotcontext CLI tool, including new CLI commands, services, generators, workflow capabilities, MCP tools, and integrations with LLM providers. Features must follow the project's established architecture: Commander-based CLI -> Service layer -> Generator/AI layer, with dependency injection, i18n support, and proper frontmatter handling.
Key Files to Understand
src/index.ts-- CLI entry point. All commands are registered here using Commander. New commands follow the pattern:program.command('name').description().option().action(async () => { ... }).src/types.ts-- Core shared types:FileInfo,RepoStructure,LLMConfig,CLIOptions,AgentPrompt,TokenUsage.src/services/-- Service layer. Each service lives in its own subdirectory withindex.tsbarrel export, a main service class, atypes.tsfor interfaces, and optionally apresets.tsfor default configurations.src/generators/-- Content generators fordocumentation,agents,plans, andskills. Each generator creates scaffold files in.context/.src/workflow/-- PREVC workflow system: phases (Planning,Review,Execution,Validation,Confirmation), roles, gates, orchestration, scaling, and status management.src/services/ai/-- AI integration layer:providerFactory.ts(provider helpers),tools/(code analysis and scaffold tools),schemas/(Zod schemas for structured output), and MCP-facing utilities.src/services/mcp/-- Model Context Protocol server implementation using@modelcontextprotocol/sdk.src/utils/i18n.ts-- i18n withenandpt-BRlocales. TheTranslateFntype andcreateTranslator()factory.src/utils/cliUI.ts--CLIInterfaceclass for all terminal output (spinners, progress bars, status messages, PREVC diagrams).src/utils/theme.ts-- Centralized chalk-based color scheme (colors,symbols,typography).src/services/shared/-- Cross-cutting utilities: path helpers, glob patterns, content type registry, context root resolution, and tool registry.
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 · 70 lines · 10 tokens per session scan A 8d45332b411e
feature-developer is an agent published in the GitHub repository vinilana/dotcontext (573 stars, last pushed 2mo ago), licensed MIT. It adds 10 tokens to every session and 1,565 once invoked, about $0.0000 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.