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/waishnav/devspace/subagentsnpx skills add Waishnav/devspace --skill subagentsgit clone --depth 1 https://github.com/Waishnav/devspaceWhat 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 | $0.00044 | $0.00534 |
| Opus 5 | $0.00022 | $0.00267 |
| Sonnet 5 | $0.00009 | $0.00107 |
| Haiku 4.5 | $0.00004 | $0.00053 |
Grade A, and why
subagents scanned grade A with 0 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 yesterday.
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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DevSpace subagents
Use the DevSpace CLI through the shell or process tool. Run commands from the project the subagent should work on.
Choose a target
Discover usable targets instead of guessing names:
devspace agents targets --json
Configured profiles include a description and may define provider, model, effort, and task instructions. Choose a matching profile when one fits. Use a provider target when no profile fits or a specific provider is needed.
Usually rely on the target's configured model and effort. Pass --model or --effort only with a value supported by that provider. DevSpace passes these values through without translating them between providers.
Start work
Give the subagent a self-contained brief. Include the objective, relevant paths, constraints, decisions it needs from the current conversation, and the expected result. The subagent receives the brief and its profile instructions, not the parent conversation.
devspace agents run <profile-or-provider> "<brief>" --json
devspace agents run <profile-or-provider> --model <model> --effort <effort> "<brief>" --json
The result contains a DevSpace agent id and its current status. Execution continues independently, so retain the ID for later inspection or follow-up.
Inspect and continue
devspace agents show <id> --json
devspace agents continue <id> "<follow-up brief>" --json
devspace agents ls --json
showwaits briefly for active work, then returns the current status and any available response or error.continuegives the same subagent another turn with its existing provider session and context.lsreturns sessions belonging to the current project.
Run devspace agents show <id> --json again later while the status is running.
completed includes the response. failed includes a structured error, and
stopped is terminal without a successful response. Continue an agent when its
existing context is useful; start another agent for unrelated work.
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.
- yesterday First seen · 58 lines · 44 tokens per session scan A 29fbb364ecfc
subagents is a skill published in the GitHub repository Waishnav/devspace (4,271 stars, last pushed 3d ago), licensed MIT. It adds 44 tokens to every session and 534 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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