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/golemcloud/golem/investigating-executor-performancenpx skills add golemcloud/golem --skill investigating-executor-performancegit clone --depth 1 https://github.com/golemcloud/golemWhat 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 | $0.00046 | $0.02730 |
| Opus 5 | $0.00023 | $0.01365 |
| Sonnet 5 | $0.00009 | $0.00546 |
| Haiku 4.5 | $0.00005 | $0.00273 |
Grade C, and why
investigating-executor-performance scanned grade C 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 today.
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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -s 'http://localhost:16686/api/services' | python3 -m json.tool Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s 'http://localhost:16686/api/services' | python3 -m json.tool The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- today Changed · +5 lines 77cd080eef5c
- 3d ago First seen · 258 lines · 46 tokens per session scan C ef1ebe356962
investigating-executor-performance is a skill published in the GitHub repository golemcloud/golem (1,509 stars, last pushed today), with no licence file. It adds 46 tokens to every session and 2,730 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
workflow
Creates durable, resumable workflows using Vercel's Workflow SDK. Use when building workflows that need to survive restarts, pause for external events, retry on failure, or coordinate multi-step operations over time. Triggers on mentions of "workflow", "durable functions", "resumable", "workflow sdk", "queue"…
migrating-workflow-v4-to-v5
Upgrades an app from Workflow SDK 4.x to 5.0. Use when bumping the workflow / @workflow/ dependencies to v5, or when hitting removed v4 APIs — runStep, stepEntrypoint, workflow/internal/private, @workflow/core/private, writeToStream / closeStream / readFromStream on a World, world.steps.get without a runId…
migrating-world-v4-to-v5
Upgrades a custom Workflow SDK World implementation from the v4 spec to v5. Use when a package implements the World interface from @workflow/world and is moving to 5.x — event IDs that are ULIDs rather than slot positions, Event id is not slot-numbered at replay time, a specVersion the runtime refuses, writeToStream /…
migrating-to-workflow-sdk
Migrates Temporal, Inngest, Trigger.dev, and AWS Step Functions workflows to the Workflow SDK. Use when porting Activities, Workers, Signals, step.run(), step.waitForEvent(), Trigger.dev tasks / wait.forToken / triggerAndWait, ASL JSON state machines, Task/Choice/Wait/Parallel states, task tokens, or child workflows.
internal-dev-workbench
Spin up a portless + tmux dev session for the Workflow SDK that gives each git worktree isolated . .localhost URLs for the Next.js workbench and the observability UI, plus a Claude statusline that surfaces those URLs. Use only when the user asks for a "portless dev session", a "tmux dev layout for workflow"…
ray-train
Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with Ray Tune, fault tolerance, elastic scaling. Use when training massive models across multiple machines or running distributed hyperparameter sweeps.