Best for
- Use when an existing workflow mentions Modal, BYOC cloud compute, provider images, or cloud GPU dispatch.
Source profileQuality 59/100
xuzhougeng/wisp-science/skills/remote-compute-modal/SKILL.md
remote-compute-modal
Explain Wisp's current Modal boundary and migrate a requested Modal workload to a supported direct SSH Run when possible. Use when an existing workflow mentions Modal, BYOC cloud compute, provider images, or cloud GPU dispatch.
- Source repository stars
- 560
- Declared platforms
- 0
- Static risk flags
- 0
- Last source update
- 2026-07-28
- Source checked
- 2026-07-28
Decision brief
What it does—and where it fits
Wisp does not currently implement a Modal ExecutionContext or Run backend. Only local, wsl:, and direct ssh: contexts can be passed to runincontext. Python receives no provider SDK, cloud credentials, image builder, or cloud-job handle.
Not for
- Tasks that require unconfirmed production actions or broad system permissions.
- Environments where the pinned source and install steps cannot be inspected.
Compatibility matrix
Platform support, with evidence labels
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
Inspect first. Install second.
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
Source-detected install commandSource
npx skills add https://github.com/xuzhougeng/wisp-science --skill "skills/remote-compute-modal"Safe inspection promptEditorial
Inspect the Agent Skill "remote-compute-modal" from https://github.com/xuzhougeng/wisp-science/blob/95d2c13d1665d46a388b5bdc998dcce0d5ec2eee/skills/remote-compute-modal/SKILL.md at commit 95d2c13d1665d46a388b5bdc998dcce0d5ec2eee. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
What the source asks the agent to do
- 01
What to do
1. Do not submit, build, monitor, or claim to reuse a Modal image. 2. If the workload can run on a user-controlled Linux GPU host, select and Probe an SSH context, load compute-env-setup, build the required user-space environment there, then load remote-compute-ssh and submit a…
Do not submit, build, monitor, or claim to reuse a Modal image.If the workload can run on a user-controlled Linux GPU host, select andKeep large inputs and model weights remote. Stage only small project scripts
Permission review
Static risk signals and limitations
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
Why each signal appears
EvidenceSourceComputedTestedEditorial
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 59/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 560 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | catalog record | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Provenance and original SKILL.md
- Repository
- xuzhougeng/wisp-science
- Skill path
- skills/remote-compute-modal/SKILL.md
- Commit
- 95d2c13d1665d46a388b5bdc998dcce0d5ec2eee
- License
- AGPL-3.0
- Collected
- 2026-07-28
- Default branch
- main
View the original SKILL.md
Modal compute boundary
Wisp does not currently implement a Modal ExecutionContext or Run backend.
Only local, wsl:<distro>, and direct ssh:<alias> contexts can be passed to
run_in_context. Python receives no provider SDK, cloud credentials, image
builder, or cloud-job handle.
What to do
- Do not submit, build, monitor, or claim to reuse a Modal image.
- If the workload can run on a user-controlled Linux GPU host, select and
Probe an SSH context, load
compute-env-setup, build the required user-space environment there, then loadremote-compute-sshand submit a persisted Run. - Keep large inputs and model weights remote. Stage only small project scripts
and configuration with
input_paths. - If no suitable SSH context exists, explain that the workload cannot be dispatched by this Wisp build. Do not offer an untracked local SDK call as a substitute.
A future Modal integration must add a typed execution context and a mockable Run backend implementing resource requests, environment/image references, keyring-backed secret binding, submit, poll, cancel, recovery, and output harvest. That belongs in Rust, not in a Python sidecar.
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