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 agentmods add agents/daffy0208/ai-dev-standards/general-purposegit clone --depth 1 https://github.com/daffy0208/ai-dev-standardsWrote 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/daffy0208/ai-dev-standards/general-purpose)<a href="https://agentmods.dev/agents/daffy0208/ai-dev-standards/general-purpose"><img src="https://agentmods.dev/badge/agents/daffy0208/ai-dev-standards/general-purpose.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 | $0.00000 | $0.01448 |
| Opus 5 | $0.00000 | $0.00724 |
| Sonnet 5 | $0.00000 | $0.00290 |
| Haiku 4.5 | $0.00000 | $0.00145 |
Grade A, and why
general-purpose 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 5d 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 — 324 lines — stays where its author put it; the contents beside it link to each section on GitHub.
General-Purpose Agent
The standard Claude Code agent for comprehensive development tasks.
Overview
The general-purpose agent is Claude Code's default mode, optimized for:
- Multi-file analysis and editing
- Complex codebase exploration
- Research and investigation
- Comprehensive development tasks
Core Capabilities
1. Code Search & Analysis
- Search across large codebases efficiently
- Pattern recognition and matching
- Analyze code relationships
- Identify dependencies
Tools Used:
- Grep: Content search with regex support
- Glob: File pattern matching
- Read: File content analysis
2. System Architecture Understanding
- Analyze multiple files simultaneously
- Map component relationships
- Understand system design
- Identify architectural patterns
3. Multi-Step Research
- Break down complex questions
- Gather information across multiple sources
- Synthesize findings
- Generate comprehensive reports
4. File Operations
- Read, write, and edit files
- Safe file modifications
- Batch operations
- Preserve file formatting
Strengths
Comprehensive Analysis
- Can analyze entire directories
- Tracks relationships between files
- Builds complete mental models
- Provides thorough explanations
Flexibility
- Adapts to any development task
- Works with any programming language
- Handles any file type
- Scales to any codebase size
Accuracy
- Verifies before acting
- Checks dependencies
- Validates changes
- Maintains consistency
Usage Patterns
Code Investigation
Task: Find all uses of deprecated API
Agent: General-Purpose (default)
Approach:
1. Grep for API references
2. Read affected files
3. Analyze usage patterns
4. Generate replacement plan
Refactoring
Task: Rename component across codebase
Agent: General-Purpose (default)
Approach:
1. Find all component references
2. Identify import statements
3. Update all occurrences
4. Verify no broken references
Feature Implementation
Task: Add authentication to application
Agent: General-Purpose (default)
Skills: security-engineer, frontend-builder
Approach:
1. Analyze existing auth patterns
2. Design authentication flow
3. Implement auth components
4. Add security validation
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.
- 5d ago First seen · 324 lines · 0 tokens per session scan A 7fa2671d144f
general-purpose is an agent published in the GitHub repository daffy0208/ai-dev-standards (36 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,448 tokens. 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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