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/aqe-report)<a href="https://agentmods.dev/commands/proffesor-for-testing/agentic-qe/aqe-report"><img src="https://agentmods.dev/badge/commands/proffesor-for-testing/agentic-qe/aqe-report/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/aqe-report"><img src="https://agentmods.dev/badge/commands/proffesor-for-testing/agentic-qe/aqe-report.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 | $0.00017 | $0.02491 |
| Opus 5.5 | $0.00007 | $0.00996 |
| Sonnet 5.5 | $0.00003 | $0.00498 |
| Haiku 4.5 | $0.00002 | $0.00249 |
Grade A, and why
aqe-report 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 10d 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 — 411 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AQE Generate Reports
Generate comprehensive quality engineering reports with metrics, trends, and actionable insights.
Usage
aqe report [type] [options]
# or
/aqe-report [type] [options]
Options
| Option | Type | Default | Description |
|---|---|---|---|
type |
string | summary |
Report type: summary, detailed, trend, executive, custom |
--format |
string | markdown |
Format: markdown, html, pdf, json |
--output |
path | stdout |
Output file path |
--period |
string | last-7-days |
Time period: last-24h, last-7-days, last-30-days, all-time |
--include |
string[] | all |
Sections: coverage, performance, quality, trends, recommendations |
--charts |
boolean | true |
Include charts and visualizations |
Examples
Summary Report
aqe report summary
Generates a quick summary report in markdown format.
Detailed HTML Report
aqe report detailed --format html --output qe-report.html --charts
Generates comprehensive HTML report with charts and visualizations.
Executive Summary
aqe report executive --format pdf --output exec-summary.pdf
Generates high-level executive summary in PDF format.
Trend Analysis Report
aqe report trend --period last-30-days --format markdown
Generates 30-day trend analysis report.
Custom Report
aqe report custom --include coverage,performance --format json --output metrics.json
Generates custom report with specific sections in JSON format.
Integration with Claude Code
Spawning Reporter Agent
// Use Claude Code's Task tool to spawn the reporter agent
Task("Generate comprehensive QE report", `
Create detailed quality engineering report:
- Include all metrics from last 30 days
- Generate charts for coverage trends
- Add actionable recommendations
- Format: HTML with embedded charts
Store report metadata: aqe/reports/{report-id}
Notify stakeholders of report availability.
`, "qe-quality-gate")
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.
- 10d ago First seen · 411 lines · 17 tokens per session scan A f3c5261550aa
aqe-report is a command published in the GitHub repository proffesor-for-testing/agentic-qe (508 stars, last pushed yesterday), licensed MIT. It adds 17 tokens to every session and 2,491 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 2026-10-11.
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.