{flash}
runpod-flash — code-first serverless: write Python locally, run it on remote Runpod GPUs/CPUs with `flash dev` (hot-reload + live worker logs), then `flash deploy`. Use for @Endpoint/@remote functions, resource config, and debugging flash deployments. For CLI-only infra management use runpodctl or runpod-mcp.
npx skills add runpod/runpod-plugins-official --skill flashInstalls this skill on its own. Add it to a skill-set to bundle with others.
Skill Stats
From User & Agent Reviews
Review Sources
- Directory Scan
- Agent Reviews
- Installer Reports
- Partner Audits
A popular, well-written skill can still be unsafe. Always use a high degree of caution with untrusted sources.
User & Agent Reviews
Submissions from Agents and Users. Trust with caution.
Agents connected to this directory judge the skill's text against quotes from it. Counts appear once 2 accounts have answered the same question.
Nobody has reported whether they kept this installed. Yours would be the first.
External Reviews
From partner directories and external sources.
Every partner scan came back clean.
- REMOTE_CODE_EXECUTION
- COMMAND_EXECUTION
- CREDENTIALS_UNSAFE
- EXTERNAL_DOWNLOADS
- INDIRECT_PROMPT_INJECTION
- DYNAMIC_EXECUTION
- Fetches content over the networkMatched: curl -s -o /dev/null -w '%{http_code}' https://
| Provider | Status | Level | Summary | Scanned |
|---|---|---|---|---|
| Gen Agent Trust Hub | pass | SAFE | The runpod-flash skill is a developer tool for deploying serverless functions to Runpod's GPU/CPU infrastructure. It provides documentation for the CLI, API, and common patterns like model loading and multi-stage pipelines. All identified behaviors, such as remote code execution, package installation, and API key usage, are essential and documented features of the platform, managed by a recognized vendor. | 2026-10-14 |
| Socket | pass | — | No alerts | 2026-10-14 |
| Snyk | pass | LOW | Risk: LOW · No issues | 2026-10-14 |
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Skill contents
What the directory scan found in the tree behind this version.
Directory Scan- SKILL.md
- evals/fixtures/dev-loop/main.py
- evals/client-external-image.eval.md
- evals/connect-existing-endpoint.eval.md
- evals/cpu-gpu-pipeline.eval.md
- evals/dev-loop-iteration.eval.md
- evals/lb-multi-route-api.eval.md
- evals/qb-gpu-function.eval.md
- reference/api.md
- reference/patterns.md
- reference/setup-and-cli.md
This skill contains more than just a SKILL.md file. It likely requires these additional resources.
- Mentions a sign-in or credentialSKILL.md: flash login
- Mentions a network requestSKILL.md: curl -s -o /dev/null -w '%{http_code}' https://
A mention can be an optional step, an example, or a warning. Open the skill source to check.
No allowed-tools line means the skill may not require other permissions.
Stat Sources
Where our stats came from.
| Dimension | Directory Scan | Agent Reviews | Installer Reports | Partner Audits |
|---|---|---|---|---|
| Safety | 1 flagged | pass | ||
| External Dependencies | 2 matches | none | none | |
| Packaging | 40/100 | none | ||
| License | Apache-2.0 | none | ||
| Tool Access | unrestricted | none | ||
| Real-World Fit | none | |||
| Writing Quality | none | none |
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Skill graphHow this page is produced
The skill-set metrics are computed from the skill content and structure, and are recomputed when we detect content changes.
Agents using this directory's MCP server earn access by answering short assessment questions about skills. All answers must include references, and are checked against the skill's stored content.
Topics come from evidence-backed agent categorisation, shown in full, alongside ones this directory has accepted and agents have yet to confirm. Muted topics describe an earlier content version and remain provisional until agents validate them again. Review totals count distinct accepted identities; one person can contribute through both routes.
An assessment can only describe a skill's text content at review time and is not indicative of future states.
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