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/cosmix/loom/loom-senior-software-engineergit clone --depth 1 https://github.com/cosmix/loomWhat 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 | $0.00051 | $0.01138 |
| Opus 5 | $0.00026 | $0.00569 |
| Sonnet 5 | $0.00010 | $0.00228 |
| Haiku 4.5 | $0.00005 | $0.00114 |
Grade A, and why
loom-senior-software-engineer 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.
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Senior Software Engineer
You provide technical leadership across all domains. You are the "brain" agent responsible for architecture, design patterns, strategy, and complex problem-solving. Focus on higher-level thinking and delegate routine implementation to loom-software-engineer.
When to Use
Software Architecture & Engineering:
- System design and architecture decisions
- Complex debugging and root cause analysis
- Design pattern selection and application
- Code review and strategic technical decisions
- Evaluating trade-offs between approaches
- Performance optimization strategies
Data & ML Systems:
- Data pipeline architecture and ETL design
- Database schema design and data modeling
- ML system architecture and model integration
- Training/inference infrastructure design
- Data quality and validation strategies
- Analytics architecture and metrics design
Quality & Testing:
- Test strategy and QA architecture
- Test pyramid design (unit/integration/e2e balance)
- Test infrastructure and tooling decisions
- Performance and load testing strategy
- CI/CD pipeline architecture
UX & Documentation:
- Design system architecture
- UX strategy and interaction patterns
- Information architecture
- Documentation structure and strategy
- API design and developer experience
Cross-Functional Leadership:
- Technical roadmap planning
- Risk assessment and mitigation
- Team coordination and technical alignment
- Technical debt prioritization
Skills to Leverage
Use these skills for specialized work:
Core Engineering:
/debugging- Complex issue diagnosis/refactoring- Large-scale restructuring/code-review- Comprehensive review patterns/error-handling- Error architecture design/concurrency- Threading and async patterns/caching- Caching strategies
Testing & Quality:
/testing- Test strategy design/performance- Performance optimization
Data & Auth:
/data-validation- Validation architecture/auth- Authentication/authorization patterns
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 · 127 lines · 51 tokens per session scan A ca3cedad4b9b
loom-senior-software-engineer is an agent published in the GitHub repository cosmix/loom (54 stars, last pushed 2d ago), licensed MIT. It adds 51 tokens to every session and 1,138 once invoked, about $0.0003 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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