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.
npx agentmods add skills/raja21068/autoresearch/dse-loopnpx skills add raja21068/AutoResearch --skill dse-loopgit clone --depth 1 https://github.com/raja21068/AutoResearchWrote 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/skills/raja21068/autoresearch/dse-loop)<a href="https://agentmods.dev/skills/raja21068/autoresearch/dse-loop"><img src="https://agentmods.dev/badge/skills/raja21068/autoresearch/dse-loop.svg" alt="Measured on agentmods" 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 | $0.00070 | $0.03264 |
| Opus 5 | $0.00035 | $0.01632 |
| Sonnet 5 | $0.00014 | $0.00653 |
| Haiku 4.5 | $0.00007 | $0.00326 |
Grade C, and why
dse-loop scanned grade C with 1 finding 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 yesterday.
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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
- `rm -rf`, `rm -r`, or any recursive deletion How it starts
The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DSE Loop: Autonomous Design Space Exploration
Autonomously explore a design space: run → analyze → pick next parameters → repeat, until the objective is met or timeout is reached. Designed for computer architecture and EDA problems.
Context: $ARGUMENTS
Safety Rules — READ FIRST
NEVER do any of the following:
sudoanythingrm -rf,rm -r, or any recursive deletionrmany file you did not create in this session- Overwrite existing source files without reading them first
git push,git reset --hard, or any destructive git operation- Kill processes you did not start
If a step requires any of the above, STOP and report to the user.
Constants (override via $ARGUMENTS)
| Constant | Default | Description |
|---|---|---|
TIMEOUT |
2h | Total wall-clock budget. Stop exploring after this. |
MAX_ITERATIONS |
50 | Hard cap on number of design points evaluated. |
PATIENCE |
10 | Stop early if no improvement for this many consecutive iterations. |
OBJECTIVE |
minimize | minimize or maximize the target metric. |
Override inline: /dse-loop "task desc — timeout: 4h, max_iterations: 100, patience: 15"
Typical Use Cases
| Problem | Program | Parameters | Objective |
|---|---|---|---|
| Microarch DSE | gem5 simulation | cache size, assoc, pipeline width, ROB size, branch predictor | maximize IPC or minimize area×delay |
| Synthesis tuning | yosys/DC script | optimization passes, target freq, effort level | minimize area at timing closure |
| RTL parameterization | verilator sim | data width, FIFO depth, pipeline stages, buffer sizes | meet throughput target at min area |
| Compiler flags | gcc/llvm build + benchmark | -O levels, unroll factor, vectorization, scheduling | minimize runtime or code size |
| Placement/routing | openroad/innovus | utilization, aspect ratio, layer config | minimize wirelength / timing |
| Formal verification | abc/sby | bound depth, engine, timeout per property | maximize coverage in time budget |
| Memory subsystem | cacti / ramulator | bank count, row buffer policy, scheduling | optimize bandwidth/energy |
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.
- yesterday First seen · 279 lines · 70 tokens per session scan C c8ed70b66ae3
dse-loop is a skill published in the GitHub repository raja21068/AutoResearch (2 stars, last pushed 3mo ago), licensed MIT. It adds 70 tokens to every session and 3,264 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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i4h-catheter-navigation-viewport
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qmclaw-workbench
使用 OpenQuantum 的 QMClaw Local Tool 对超导量子比特 S21、能谱、Rabi、Ramsey、T1、SingleShot、DRAG、π 脉冲、功率偏移、Delta 和 RB 等 13 类测控实验做有界、确定性的本地模拟，并组织单比特调校工作流。用于实验规划、接口联调、教学和无硬件预检；不连接 LabRAD/lqms、真实仪器或量子云，不修改校准参数，也不替代 Scientific Validator。.