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/danielraffel/generous-corp-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/danielraffel/generous-corp-marketplace/repeat-verbose)<a href="https://agentmods.dev/commands/danielraffel/generous-corp-marketplace/repeat-verbose"><img src="https://agentmods.dev/badge/commands/danielraffel/generous-corp-marketplace/repeat-verbose/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/danielraffel/generous-corp-marketplace/repeat-verbose"><img src="https://agentmods.dev/badge/commands/danielraffel/generous-corp-marketplace/repeat-verbose.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 | $0.00977 |
| Opus 5 | $0.00008 | $0.00489 |
| Sonnet 5 | $0.00003 | $0.00195 |
| Haiku 4.5 | $0.00002 | $0.00098 |
Grade A, and why
repeat-verbose 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 9d 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repeat Last Prompt (Verbose)
Apply verbose prompt repetition optimization to the user's last message. This variant uses framing text between repetitions: <QUERY> Let me repeat that: <QUERY>.
What This Command Does
- Retrieves the user's last message from the conversation history
- Applies verbose repetition with framing text
- Processes the repeated prompt to improve model performance
- Provides a brief confirmation that verbose repetition was applied
When to Use
Use this command for the same scenarios as /repeat-last, but when:
- You want to try a variation that sometimes outperforms simple repetition
- The prompt is longer and benefits from explicit framing
- You want to make the repetition more natural-sounding
Best for:
- Multiple choice questions
- List navigation tasks
- Simple fact retrieval
- Pattern matching
Implementation Instructions
When this command is invoked:
-
Retrieve the last user message from the conversation history
- Get the most recent message from the user (not from Claude)
- If unavailable, inform the user that there's no previous message to repeat
-
Apply verbose repetition
- Format:
<QUERY> Let me repeat that: <QUERY> - Include the framing text "Let me repeat that:" between repetitions
- Example: If user asked "What's the 5th item?", process it as:
What's the 5th item? Let me repeat that: What's the 5th item?
- Format:
-
Process the repeated prompt
- Treat the repeated prompt (with framing) as if it were the original user input
- Generate response based on the repeated context
- Do not include the repetition in the visible response
-
Provide confirmation
- Briefly note that verbose repetition was applied
- Example: "Applied verbose prompt repetition to your query."
- Then provide the actual answer to the query
Example Usage
User's original message:
Which of the following is a mixture?
A. oxygen and nitrogen in air
B. sodium and chlorine in salt
C. hydrogen and oxygen in water
D. nitrogen and hydrogen in ammonia
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.
- 9d ago First seen · 144 lines · 15 tokens per session scan A ec5df62fff2d
repeat-verbose is a command published in the GitHub repository danielraffel/generous-corp-marketplace (11 stars, last pushed 10d ago), licensed MIT. It adds 15 tokens to every session and 977 once invoked, about $0.0001 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.
Other commands, from other repositories
checklist
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clarify
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specify
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analyze
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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.