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/rafadorado/qrspivWrote 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/rafadorado/qrspiv/design)<a href="https://agentmods.dev/commands/rafadorado/qrspiv/design"><img src="https://agentmods.dev/badge/commands/rafadorado/qrspiv/design/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/rafadorado/qrspiv/design"><img src="https://agentmods.dev/badge/commands/rafadorado/qrspiv/design.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 | $0.00014 | $0.02067 |
| Opus 5 | $0.00007 | $0.01033 |
| Sonnet 5 | $0.00003 | $0.00413 |
| Haiku 4.5 | $0.00001 | $0.00207 |
Grade A, and why
design 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 — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Discussion (S Phase)
Plans are 1000+ lines and map roughly 1:1 to code. Reviewing a plan is nearly as much work as reviewing the code. This design discussion surfaces wrong assumptions, bad pattern choices, and misunderstood requirements in a ~200-line document — before the agent writes 2000 lines of code.
If individual file paths were provided, read them all fully.
If no parameters provided, respond with:
"I'll help create a design discussion for your task. Point me to the thoughts folder for your work item (e.g., thoughts/001-auth-endpoint/), or provide your task description and research findings."
Then wait for the user's input.
Then spawn focused research agents to fill gaps:
- Use codebase-pattern-finder to locate the specific patterns referenced in the research. Instruct it to document what exists — not evaluate or recommend.
- Use codebase-analyzer on any component that will be directly modified. Instruct it to explain the implementation — not suggest design choices.
Wait for agents to complete.
If gaps exist, spawn additional research or ask the user before continuing.
Design Discussion: [Feature/Task Name]
Task Summary (5 lines max)
[What we're building and why, from the task definition]
Current State (15 lines max)
[How the relevant parts of the system work today. Be specific — file paths, key functions, data flows. This comes from the research.]
Desired End State (15 lines max)
[What the system should look like after implementation. Be concrete enough that someone could verify it.]
Patterns to Follow
[Existing patterns in the codebase that this work should mirror. Include file:line references.]
- Pattern: [name] — found in
path/to/file.ext:L42[Brief description of the pattern]
Patterns to AVOID
[Bad patterns, deprecated approaches, or legacy code that should NOT be followed.]
- Anti-pattern: [name] — exists in
path/to/old_file.ext:L99[Why this should not be used]
Design Decisions
Resolved by Architecture
[ONLY decisions that are logically forced by the task definition, existing architecture, or codebase constraints. These are not opinions — they are facts.]
- [Decision]: [Choice] — forced by [architectural constraint or existing pattern]
Open Questions for Human
[Everything else. All trade-offs, preference-based choices, and design directions go here. The human decides.]
- [Question]: [Context for why this matters]
- Option A: [description + tradeoff]
- Option B: [description + tradeoff] Present facts about each option. Do NOT express a preference.
Key Risks & Edge Cases (10 lines max)
[Things that could go wrong or need special attention]
- [Risk]: [mitigation approach]
Out of Scope
[What we're explicitly NOT doing]
</template>
<critical>
The "Resolved by Architecture" section must ONLY contain decisions forced by constraints — not the agent's preferences. If there's any room for choice, it belongs in "Open Questions for Human."
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 · 222 lines · 14 tokens per session scan A d0a7abd7a95d
design is a command published in the GitHub repository rafadorado/qrspiv (6 stars, last pushed 5mo ago), licensed MIT. It adds 14 tokens to every session and 2,067 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 2026-08-31.
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