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/nolabs-ai/claude-extensionsWrote 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/commands/nolabs-ai/claude-extensions/project-summary)<a href="https://agentmods.dev/commands/nolabs-ai/claude-extensions/project-summary"><img src="https://agentmods.dev/badge/commands/nolabs-ai/claude-extensions/project-summary.svg" alt="Measured on agentmods" 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 | $0.00008 | $0.00537 |
| Opus 5 | $0.00004 | $0.00269 |
| Sonnet 5 | $0.00002 | $0.00107 |
| Haiku 4.5 | $0.00001 | $0.00054 |
Grade A, and why
project-summary 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 7d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Summary
Generate an overview of the current project structure, technologies, and key components.
Process
-
Identify Project Type
- Check for package.json, pyproject.toml, go.mod, Cargo.toml
- Identify primary language and framework
-
Analyze Structure
- Map directory structure
- Identify source, test, and config directories
- Find entry points
-
Detect Technologies
- Parse dependency files
- Identify frameworks and libraries
- Note development tools
-
Summarize Architecture
- Identify architectural patterns
- Map key components
- Note integrations
Output Format
Project: [Name]
Type: [Web App / CLI / Library / API / etc.] Language: [Primary language] Framework: [If applicable]
Quick Stats
- Files: X
- Lines of Code: ~X
- Dependencies: X production, X development
Directory Structure
project/
├── src/ # Source code
├── tests/ # Test files
├── docs/ # Documentation
└── ...
Technology Stack
Runtime:
- Node.js / Python / Go / etc.
Framework:
- Express / Django / Gin / etc.
Key Libraries:
- Library 1 - purpose
- Library 2 - purpose
Development:
- TypeScript / Jest / ESLint / etc.
Architecture Overview
[Description of the project's architecture pattern]
Key Components:
- Component 1: Description
- Component 2: Description
Data Flow: [Brief description of how data flows through the system]
Entry Points
src/index.ts- Main application entrysrc/cli.ts- CLI interface
Configuration
.env- Environment variablesconfig/- Configuration files
Scripts
| Command | Description |
|---|---|
npm start |
Run the application |
npm test |
Run tests |
npm run build |
Build for production |
Arguments
brief- One-paragraph summarydetailed- Full analysis with code examples- No argument - Standard overview
Guidelines
- Focus on what a new developer needs to know
- Highlight architectural decisions
- Note any unusual patterns
- Identify potential areas of complexity
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.
- 7d ago First seen · 109 lines · 8 tokens per session scan A b58db8b6adc3
project-summary is a command published in the GitHub repository nolabs-ai/claude-extensions (5 stars, last pushed 8mo ago), licensed MIT. It adds 8 tokens to every session and 537 once invoked, about $0.0000 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.