modal-b200-snippet-policy
Enforce mandatory Modal execution for any Python, CUTLASS, or GPU snippet in this repo.
Skill by cybernetic-physics
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: marketing, agent-building
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Shell scripts
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/modal-b200-snippet-policy
What's inside
- Skill name
modal-b200-snippet-policy- Description
- Enforce mandatory Modal execution for any Python, CUTLASS, or GPU snippet in this repo. Use when running quick sanity checks, ad-hoc code snippets, or CUTLASS experiments so execution always goes through tools/modal_python_exec.py on B200 with required env sourcing, sanity prints, and one-retry failure handling.
- License
- MIT
- Instructions
- 67 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (3)
- SKILL.md
- openai.yaml · agents/
- run_modal_snippet.sh · scripts/
SKILL.md (first lines)
# Modal B200 Snippet Policy
Run all Python/CUTLASS/GPU snippets through Modal B200 only. Do not run local Python snippet execution for these tasks.
## Required policy
1. Source env first:
```bash
set -a; source .env; set +a
```
2. Execute via Modal executor:
```bash
uv run --with modal python tools/modal_python_exec.py --gpu B200 ...
```
3. Allow only these snippet forms:
- `--code "..."`
- `--code-file /path/to/snippet.py`
- stdin/heredoc piped into `tools/modal_python_exec.py`
4. For CUTLASS sanity checks, include:
- `import cutlass`
- `import torch`
- prints for `torch.cuda.is_available()` and `torch.cuda.get_device_name(0)`
5. On failure:
- show stderr
- retry once with the exact same command
- if it fails again, stop and revert the last kernel change
6. Never run local snippet heredocs like:
```bash
python3 - <<'PY'
...
PY
```
## Preferred command wrapper
Use this wrapper script so env/gpu/repo defaults are enforced:
```bash
bash skills/codex/modal-b200-snippet-policy/scripts/run_modal_snippet.sh --code "import torch; print(torch.cuda.is_available())"
```
## Command patterns
Run inline code:
```bash
bash skills/codex/modal-b200-snippet-policy/scripts/run_modal_snippet.sh \
--code "import torch, cutlass; print(torch.cuda.is_available()); print(torch.cuda.get_device_name(0))"
```
Run a code file:
```bash
bash skills/codex/modal-b200-snippet-policy/scripts/run_modal_snippet.sh --code-file /tmp/snippet.py
```
## CUTLASS sanity template
```bash
bash skills/codex/modal-b200-snippet-policy/scripts/run_modal_snippet.sh --code "import cutlass, torch; print('cuda_available', torch.cuda.is_available()); print('gpu', torch.cuda.get_device_name(0) if torch.cuda.is_available() else 'none')"
```
## Retry rule
`skills/codex/modal-b200-snippet-policy/scripts/run_modal_snippet.sh` already retries once on failure using the same command and surfaces stderr. If the second attempt fails, stop and revert the last kernel edit.From cybernetic-physics/ttt_discover, MIT.
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cutlass-compile-debug
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Run deep CUTLASS/CuTe compile diagnostics on Modal B200 and collect rich failure artifacts (traceback, IR/PTX/CUBIN, logs) when test output is too terse.
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Profile CUTLASS kernels on Modal B200 with working paths.
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cubin-disasm
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 4
- Last commit (this folder)
- Mar 31, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from cybernetic-physics
- 0.414score
pygpubench-modal-run
cybernetic-physics
Run PyGPUBench harnesses on Modal B200 against arbitrary submission kernels using a deployed Modal class runner.
SkillDFreshness: DClaude Code +9 - 0.411score
afterhours-benchmark-run
cybernetic-physics
Run deployed PyGPUBench candidate/final benchmark mode for a kernel with a standardized artifact that includes repo git hash, kernel diff, command output, and…
SkillDFreshness: DClaude Code +9 - 0.411score
afterhours-test-run
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Run deployed PyGPUBench smoke/profile test mode for a kernel with a standardized artifact that includes repo git hash, kernel diff, command output, and JSON…
SkillDFreshness: DClaude Code +9 - 0.409score
ptx-dump
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Dump raw PTX and CUBIN for CUTLASS DSL kernels on Modal B200 using tools/dump_ptx_modal.py.
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cutlass-compile-debug
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Run deep CUTLASS/CuTe compile diagnostics on Modal B200 and collect rich failure artifacts (traceback, IR/PTX/CUBIN, logs) when test output is too terse.
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gpu-profiler
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Profile CUTLASS kernels on Modal B200 with working paths.
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modal-b200-snippet-policy skill. Agent Mart. https://agentmart.dev/skills/cybernetic-physics-modal-b200-snippet-policy (last updated 2026-10-24)