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/davistroy/claude-marketplaceWrote 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/davistroy/claude-marketplace/define-questions.eval)<a href="https://agentmods.dev/commands/davistroy/claude-marketplace/define-questions.eval"><img src="https://agentmods.dev/badge/commands/davistroy/claude-marketplace/define-questions.eval/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/davistroy/claude-marketplace/define-questions.eval"><img src="https://agentmods.dev/badge/commands/davistroy/claude-marketplace/define-questions.eval.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 | $0.00872 |
| Opus 5 | $0.00000 | $0.00436 |
| Sonnet 5 | $0.00000 | $0.00174 |
| Haiku 4.5 | $0.00000 | $0.00087 |
Grade A, and why
define-questions.eval 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Eval: /define-questions
Purpose
Analyzes a document and extracts all open questions, TBDs, ambiguities, and gaps into a structured JSON file. Good output: a valid JSON file compatible with the questions schema, containing every actionable open item from the document.
Fixtures
| Fixture | Purpose |
|---|---|
docs/draft-prd.md |
PRD with 6 explicit open questions + multiple TBDs embedded in text |
docs/sample-prd.md |
Complete PRD with "None" open questions — tests the no-questions case |
Test Scenarios
S1: Happy path — document with open questions
Invocation: /define-questions fixtures/docs/draft-prd.md
Must:
- Creates
reference/questions-draft-prd-*.json(timestamped) - Output is valid JSON
- JSON contains
questionsarray with at least 5 questions (doc has 6 explicit + implicit gaps) - JSON contains
metadataobject withsource_document,total_questions,generated_date - Each question has
id,question,context,priorityfields - Schema validation PASSED is reported
Should:
- Captures the 6 questions from Section 7 "Open Questions"
- Also captures the TBD items embedded in Sections 1.2, 3.1, 3.2, 4.1 (implicit questions)
- Priority assignments are reasonable (time zone handling = high, data retention = medium)
- Questions are deduplicated (same question not listed twice)
Must NOT:
- Invent questions not derivable from the document
- Miss the explicit "TBD" markers
S2: Document with no open questions
Invocation: /define-questions fixtures/docs/sample-prd.md
Must:
- Either: reports "No questions, open items, or TBDs found" (document appears complete)
- Or: produces a JSON with 0 questions and a note
- Does not generate a file with fabricated questions for a complete document
Should:
- Suggests running
/assess-documentfor a quality check
S3: CSV format
Invocation: /define-questions fixtures/docs/draft-prd.md --format csv
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 · 112 lines · 0 tokens per session scan A af18fc7b0765
define-questions.eval is a command published in the GitHub repository davistroy/claude-marketplace (5 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 872 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 2026-08-31.
Other commands, from other repositories
brand-generate
Generate an on-brand document from a saved Brand Profile.
prose-review-docs
Reviews markdown documentation files or directories against the active prose style rules — the plugin's vendor-neutral baseline plus your organization's overlay when one is configured. Accepts a file path or directory (recursive). Runs prose-style-checker and optionally Vale. Supports --fix to auto-apply safe…
cti-report
Render case deliverables — relationship graph (PNG/SVG/Mermaid) and a polished PDF/DOCX assessment. Usage: /cti-report [--graph|--pdf].
ppt-image2-editable-rebuild
Rebuild image2 or imagegen reference slides as editable PowerPoint decks.
render-figures
Compile all .tex and .typ figure files in a directory.
harness-onboarding
Generate a human-readable onboarding document from HARNESS.md, AGENTS.md, and REFLECTIONLOG.md — a friendly guide for new team members.