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/andreaswasita/copilot-agents-dojoWrote 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/andreaswasita/copilot-agents-dojo/software-engineer)<a href="https://agentmods.dev/agents/andreaswasita/copilot-agents-dojo/software-engineer"><img src="https://agentmods.dev/badge/agents/andreaswasita/copilot-agents-dojo/software-engineer/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/agents/andreaswasita/copilot-agents-dojo/software-engineer"><img src="https://agentmods.dev/badge/agents/andreaswasita/copilot-agents-dojo/software-engineer.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00015 | $0.00238 |
| Opus 5.5 | $0.00006 | $0.00095 |
| Sonnet 5.5 | $0.00003 | $0.00048 |
| Haiku 4.5 | $0.00002 | $0.00024 |
Grade A, and why
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 1mo 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.
What it actually says
Software Engineer Agent
Focuses on feature implementation, bug fixes, and writing clean, production-quality code. Delivers working software that meets requirements and passes all tests.
Responsibilities
- Feature Development — Implement features from requirements
- Bug Fixing — Diagnose and fix issues systematically
- Code Quality — Write maintainable, well-tested code
- Testing — Ensure features are well-covered by tests
- Code Review — Participate in peer reviews and feedback
When to Use
- Implementing features
- Fixing defects
- Writing new code
- Refactoring existing code
- Writing tests
Key Activities
✅ Write clean, maintainable code
✅ Create comprehensive tests
✅ Fix bugs systematically
✅ Review code quality
✅ Collaborate with the team
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.
- 1mo ago First seen · 42 lines · 15 tokens per session scan A 57f72e18ecfe
Software Engineer is an agent published in the GitHub repository andreaswasita/copilot-agents-dojo (54 stars, last pushed 1mo ago), licensed MIT. It adds 15 tokens to every session and 238 once invoked, about $0.0001 per session on Opus 5.5. 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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meta-warden
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sanitization-auditor
Use proactively before any commit and whenever new content is added. Scans tracked files for private-project leaks - upstream private project names, internal absolute paths, proprietary domain logic (financial / portfolio / trading / prediction / tax / advisory specifics), customer data, secrets, internal endpoints…
ops-ci
CI/CD configuration (GitHub Actions, GitLab CI). Use to automate tests, builds, and deployments.
dev-document
Code that generates documents inside an application (PDF, DOCX, XLSX, PPTX). Use to add an export, an invoice or a report generator to an app. For Claude to write or edit an office file itself, Anthropic's docx/pdf/xlsx/pptx skills fit better.
legal-payment
Compliant payment integration (Stripe, PayPal). Use to implement payments in compliance with PCI-DSS and regulations.