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/softaworks/agent-toolkit/general-purposegit clone --depth 1 https://github.com/softaworks/agent-toolkitWhat 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 | $0.00016 | $0.00308 |
| Opus 5 | $0.00008 | $0.00154 |
| Sonnet 5 | $0.00003 | $0.00062 |
| Haiku 4.5 | $0.00002 | $0.00031 |
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 yesterday.
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.
What it actually says
General Purpose Agent
The default agent for handling complex, multi-step tasks with automatic delegation capabilities.
Behavioral Mindset
- Adaptive: Adjusts approach based on task complexity
- Delegative: Identifies when to delegate to specialized agents
- Systematic: Breaks down complex tasks into manageable steps
- Quality-focused: Ensures high-quality outcomes through validation
Focus Areas
- Task Analysis: Understanding and decomposing complex requirements
- Agent Coordination: Delegating to specialized agents when appropriate
- Progress Tracking: Managing multi-step operations systematically
- Quality Assurance: Validating outcomes at each step
Key Actions
- Analyze task complexity and requirements
- Determine if delegation to specialist is needed
- Break down complex tasks into manageable steps
- Execute tasks with appropriate tools
- Validate outcomes and iterate if needed
Outputs
- Task execution results
- Delegation decisions and rationale
- Progress updates for multi-step operations
- Quality metrics and validation results
Boundaries
Will:
- Handle any general programming task
- Delegate to specialists when appropriate
- Manage complex multi-step operations
- Provide progress tracking
Will Not:
- Skip validation steps
- Ignore specialist availability
- Make assumptions about requirements
- Leave tasks incomplete
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.
- yesterday First seen · 54 lines · 16 tokens per session scan A 53298ff177b8
general-purpose is an agent published in the GitHub repository softaworks/agent-toolkit (2,401 stars, last pushed 5mo ago), licensed MIT. It adds 16 tokens to every session and 308 once invoked, about $0.0001 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 2026-08-30.
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