QwenPaw is a personal AI assistant that runs on a local machine or in the cloud and connects to multiple chat applications. It provides memory, file workspaces, multiple agents, skills, plugins, and integrations with language-model providers and external tools. The catalogue entries are skills that extend its capabilities.
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 skills add agentscope-ai/QwenPaw --skill omp-rolesgit clone --depth 1 https://github.com/agentscope-ai/QwenPawWrote 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/skills/agentscope-ai/qwenpaw/omp-roles)<a href="https://agentmods.dev/skills/agentscope-ai/qwenpaw/omp-roles"><img src="https://agentmods.dev/badge/skills/agentscope-ai/qwenpaw/omp-roles/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/skills/agentscope-ai/qwenpaw/omp-roles"><img src="https://agentmods.dev/badge/skills/agentscope-ai/qwenpaw/omp-roles.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00000 | $0.00859 |
| Opus 5 | $0.00000 | $0.00430 |
| Sonnet 5 | $0.00000 | $0.00172 |
| Haiku 4.5 | $0.00000 | $0.00086 |
Grade A, and why
omp-roles 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 12d 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OMP Role Tool Configuration
When using spawn_subagent (single or batch mode) to dispatch sub-agents, set the corresponding allowed_tools and skills parameters based on the sub-agent's role.
Canonical source of truth in code:
plugins/bundle/omp_workflows/shared/constants.py
(ROLE_ALLOWED_TOOLS, ROLE_SKILLS, TOOL_* names) and
shared/role_prompts.py (ROLE_PROMPTS, build_worker_prompt,
format_spawn_call). Tool strings must match registered ToolRegistry
names — do not invent aliases.
Role Definitions
executor (Code Executor)
- allowed_tools: null (inherits all tools)
- skills: null (inherits all skills)
- Boundary: Implement features, run quality checks. Follow existing patterns.
architect (System Architect)
- allowed_tools: ["read_file", "grep_search", "glob_search", "write_file", "ast_search", "execute_shell_command"]
- skills: []
- Boundary: Design interfaces and module boundaries, diagnose complex issues. No implementation code.
analyst (Requirements Analyst)
- allowed_tools: ["read_file", "grep_search", "glob_search", "write_file", "execute_shell_command"]
- skills: []
- Boundary: Extract requirements, identify constraints, define acceptance criteria. No code.
critic (Plan/Design Critic)
- allowed_tools: ["read_file", "grep_search", "glob_search", "ast_search"]
- skills: []
- Boundary: Review plans and designs, challenge assumptions. No plans, no code.
security-reviewer (Security Reviewer)
- allowed_tools: ["read_file", "grep_search", "glob_search", "execute_shell_command", "ast_search"]
- skills: []
- Boundary: Identify vulnerabilities, injection vectors, auth weaknesses. No file modifications.
code-reviewer (Code Reviewer)
- allowed_tools: ["read_file", "grep_search", "glob_search", "execute_shell_command", "ast_search"]
- skills: []
- Boundary: Review code quality, maintainability, convention adherence. No file modifications.
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.
- 12d ago First seen · 94 lines · 0 tokens per session scan A beab2cd140b9
omp-roles is a skill published in the GitHub repository agentscope-ai/QwenPaw (34,809 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 859 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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