DevSpace is a self-hosted Model Context Protocol server that lets ChatGPT work with approved projects on a user’s own computer. It enables ChatGPT to inspect and edit files, search code, run terminal commands, and use isolated Git worktrees. The catalogue entries provide agents, a skill, and an instruction for using this local coding workflow.
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 skills add Waishnav/devspace --skill subagentsgit clone --depth 1 https://github.com/Waishnav/devspaceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/waishnav/devspace/subagents)<a href="https://agentmods.dev/skills/waishnav/devspace/subagents"><img src="https://agentmods.dev/badge/skills/waishnav/devspace/subagents/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/waishnav/devspace/subagents"><img src="https://agentmods.dev/badge/skills/waishnav/devspace/subagents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
- Socket pass
- Snyk pass
What 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 5.1 | $0.00044 | $0.00645 |
| Opus 5.5 | $0.00018 | $0.00258 |
| Sonnet 5.5 | $0.00009 | $0.00129 |
| Haiku 4.5 | $0.00004 | $0.00064 |
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 1mo 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.
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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DevSpace subagents
Subagents are optional. Use the normal workspace tools for routine work; delegate only when a separate worker materially helps through independent context, specialization, or follow-up.
Run the DevSpace CLI through the shell or process tool from the project the subagent should use. Agent commands print compact XML fragments by default. Read that output directly. Do not add --json.
Choose a target
Discover usable targets instead of guessing names:
devspace agents targets
Each line is a <provider name="..."/> or <profile name="..." provider="...">description</profile> fragment. Pass the profile or provider name as <profile-or-provider>. Prefer a matching profile. Use a provider target when no profile fits or the task needs a specific provider. Keep the configured model and effort unless the task requires a supported override.
Start work
Give the subagent a self-contained brief with the objective, relevant paths, constraints, context it cannot infer, and the expected result. The subagent receives this brief and its profile instructions, not the parent conversation.
devspace agents run <profile-or-provider> "<brief>"
devspace agents run <profile-or-provider> --model <model> --effort <effort> "<brief>"
The command returns an <agent id="agt_..." status="running"/> receipt. Keep the DevSpace agent ID for inspection, waiting, or follow-up.
Wait or inspect
Use wait when work must finish before you proceed. One call can wait for several agents:
devspace agents wait <id>
devspace agents wait <id> <id> <id>
devspace agents wait <id> <id> --timeout 60
Without --timeout, the command waits until every named agent's current work finishes. A timeout returns one fragment per unique agent in first-seen order; unfinished work has status="running" wait="timeout". Completed output is the element text. Failures include code and retryable attributes. The command does not stream partial results.
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.
- 1mo ago Changed · +9 lines 0b18cd0f1d01
- 1mo ago Changed · +2 lines d8f033b1e416
- 1mo ago First seen · 58 lines · 44 tokens per session scan A 29fbb364ecfc
subagents is a skill published in the GitHub repository Waishnav/devspace (5,252 stars, last pushed 4d ago), licensed MIT. It adds 44 tokens to every session and 645 once invoked, about $0.0002 per session on Opus 5.5. 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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