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/proffesor-for-testing/agentic-qeWrote 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/commands/proffesor-for-testing/agentic-qe/modes)<a href="https://agentmods.dev/commands/proffesor-for-testing/agentic-qe/modes"><img src="https://agentmods.dev/badge/commands/proffesor-for-testing/agentic-qe/modes/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/commands/proffesor-for-testing/agentic-qe/modes"><img src="https://agentmods.dev/badge/commands/proffesor-for-testing/agentic-qe/modes.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 | $0.00000 | $0.01621 |
| Opus 5.5 | $0.00000 | $0.00648 |
| Sonnet 5.5 | $0.00000 | $0.00324 |
| Haiku 4.5 | $0.00000 | $0.00162 |
Grade A, and why
modes 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 7d 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 — 348 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pair Programming Modes
Detailed guide to pair programming modes and their optimal use cases.
Driver Mode
In driver mode, you write the code while the AI acts as navigator.
Usage
claude-flow pair --start --mode driver
Responsibilities
You (Driver):
- Write the actual code
- Implement solutions
- Make immediate decisions
- Handle syntax and structure
AI (Navigator):
- Provide strategic guidance
- Spot potential issues
- Suggest improvements
- Review in real-time
- Track overall direction
Best For
- Learning new patterns
- Implementing familiar features
- Quick iterations
- Hands-on debugging
Example Session
claude-flow pair --start \
--mode driver \
--agent senior-navigator \
--review \
--verify
Commands in Driver Mode
/suggest - Get implementation suggestions
/review - Request code review
/explain - Ask for explanations
/optimize - Request optimization ideas
/patterns - Get pattern recommendations
Navigator Mode
In navigator mode, the AI writes code while you provide guidance.
Usage
claude-flow pair --start --mode navigator
Responsibilities
You (Navigator):
- Provide high-level direction
- Review generated code
- Make architectural decisions
- Ensure business requirements
AI (Driver):
- Write implementation code
- Handle syntax details
- Implement your guidance
- Manage boilerplate
- Execute refactoring
Best For
- Rapid prototyping
- Boilerplate generation
- Learning from AI patterns
- Exploring solutions
Example Session
claude-flow pair --start \
--mode navigator \
--agent expert-coder \
--test \
--language python
Commands in Navigator Mode
/implement - Direct implementation
/refactor - Request refactoring
/test - Generate tests
/document - Add documentation
/alternate - See alternative approaches
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.
- 7d ago First seen · 348 lines · 0 tokens per session scan A 20d1cc014336
modes is a command published in the GitHub repository proffesor-for-testing/agentic-qe (505 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,621 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 2026-10-11.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
speckit.bug.fix
Apply the remediation from a bug assessment and record what was changed.