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/runpod/runpod-plugins-official/flashnpx skills add runpod/runpod-plugins-official --skill flashgit clone --depth 1 https://github.com/runpod/runpod-plugins-officialWhat 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 | $0.00076 | $0.03470 |
| Opus 5 | $0.00038 | $0.01735 |
| Sonnet 5 | $0.00015 | $0.00694 |
| Haiku 4.5 | $0.00008 | $0.00347 |
Grade B, and why
flash scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -s "$URL/main/predict" -d '{"data": {...}}' # dispatches to the remote worker Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "$URL/main/predict" -d '{"data": {...}}' # dispatches to the remote worker How it starts
The opening of the file, as written. The whole thing — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Runpod Flash
Write code locally, iterate with flash dev — it runs your functions on remote Runpod GPUs/CPUs with hot-reload and live worker logs — then flash deploy to ship. Endpoint handles provisioning.
runpod-flash releases on its own cadence, so flash --help and flash <command> --help
are authoritative for the command surface — this skill is the mental model, the decision
rules, and the gotchas that help output does not carry. Confirm the installed version with
pip show runpod-flash before concluding a subcommand or flag is unavailable.
Worked examples first for anything multi-step. Flash appears in verified end-to-end paths — 03 variant B (whisper endpoint via flash) and 08 (fine-tune → serve); the full index is runpod/golden-paths/README.md. Open the matching path before planning a deploy — it carries the ordering and the cost cleanup this skill only summarizes.
Load on demand — this skill keeps the mental model + gotchas inline; details live in reference/:
| Need | Read |
|---|---|
Install, auth, flash init, and the full flash command list |
reference/setup-and-cli.md |
Endpoint(...) constructor params, NetworkVolume/PodTemplate/EndpointJob, GPU & CPU enum tables |
reference/api.md |
| Worked patterns — choosing a model, warm-worker model loading, CPU→GPU pipeline, parallel calls | reference/patterns.md |
Quick start: uv tool install runpod-flash → flash login (or export RUNPOD_API_KEY=...) → flash init my-project → flash dev. Details in reference/setup-and-cli.md.
Dev vs Deploy
flash dev— iterate. Local server at:8888, but your decorated functions execute on remote GPU/CPU workers. Hot-reloads on save and streams the worker's logs live to the terminal. No build/upload/deploy wait — use this the whole time you develop.flash deploy— ship. Builds an artifact and deploys a stable endpoint. Slow (build + upload + provision); only do this once the code works underflash dev.
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- evals/client-external-image.eval.md 1012 B
- evals/connect-existing-endpoint.eval.md 932 B
- evals/cpu-gpu-pipeline.eval.md 1.0 KB
- evals/dev-loop-iteration.eval.md 3.4 KB
- evals/fixtures/dev-loop/main.py 786 B runs code
- evals/lb-multi-route-api.eval.md 1.0 KB
- evals/qb-gpu-function.eval.md 966 B
- reference/api.md 6.1 KB
- reference/patterns.md 4.7 KB
- reference/setup-and-cli.md 3.1 KB
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.
- 2d ago First seen · 231 lines · 76 tokens per session scan B 8d7582f2a6ec
flash is a skill published in the GitHub repository runpod/runpod-plugins-official (44 stars, last pushed 4d ago), licensed Apache-2.0. It adds 76 tokens to every session and 3,470 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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