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 vlinx-io/VelaTerm --skill vspawngit clone --depth 1 https://github.com/vlinx-io/VelaTermWrote 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/vlinx-io/velaterm/vspawn)<a href="https://agentmods.dev/skills/vlinx-io/velaterm/vspawn"><img src="https://agentmods.dev/badge/skills/vlinx-io/velaterm/vspawn/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/vlinx-io/velaterm/vspawn"><img src="https://agentmods.dev/badge/skills/vlinx-io/velaterm/vspawn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 56 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00148 | $0.02382 |
| Opus 5.5 | $0.00059 | $0.00953 |
| Sonnet 5.5 | $0.00030 | $0.00476 |
| Haiku 4.5 | $0.00015 | $0.00238 |
Grade A, and why
vspawn 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 6d 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/vspawn
The user explicitly invoked /vspawn (Claude) or $vspawn (Codex) to request spawning a standalone child
session under the current vlx-term session,
passing the task in as its first message. The new child session runs as a brand-new claude/codex process, and
by default runs in the current directory without a worktree (to open a dedicated git worktree for the child
task, use /vspawn-tree, or add --worktree to this command).
⚠️ This is not an in-process sub-agent, and not a background Task: it is a real, visible, interactive, resumable session tab in the vlx-term left-panel tree, run by its own process, leaving the current session undisturbed.
User input:
$ARGUMENTS
Planning and execution mode
When the user requests this workflow or supplies --plan-execute, keep the
current session as the initiator. Pass the expanded task to vspawn --plan-execute; VelaTerm creates a new
planner, which later dispatches work to its persistent executor. Independent review is disabled by default. Pass --review when the user requests review; it then runs in a separate Review session. Plan only collects context, coordinates and summarizes in both modes. Add --split-tasks when the user requests automatic decomposition into multiple tasks. The new planner then proposes the split for a separate user review; do not split or execute the task in the initiating conversation. Do not perform the planning
or execution here, and do not use in-process subagents.
For a skill invocation that uses both --plan-execute and --split-tasks, automatically add --yes
unless the user explicitly requests the initial configuration dialog. This skips launch configuration and
keeps only the final task-proposal review; the user does not need to supply --yes themselves. Never approve
the proposal on the user's behalf. Without task splitting, keep the ordinary confirmation rules below.
Each role has independent --plan-agent, --plan-model, --plan-effort and --exec-agent, --exec-model,
--exec-effort parameters. Optional Review also has --review-agent, --review-model and --review-effort; --review or --no-review selects whether it exists. Pass only explicit user selections; the backend resolves omitted choices using
the initiating session and supported defaults. With split-task skill invocation, the planner starts with
those settings, and the final review lets the user edit each executor's settings. It does not reconfigure
the already-started planner. Both launch dialogs also offer automatic task splitting. Do not guess a
different model. Only agents supported by the backend chat engine can run this workflow. Agent changes
reset that role's model and effort draft in the dialogs. Ordinary
--model, --effort and agent flags serve as planner defaults when role-specific flags are absent.
What ships with it
2 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.
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.
- 6d ago Changed · +3 lines 1f162e9e34a4
- 13d ago Changed c6ef1c22dc25
- 14d ago Changed · +2 tokens per session 799b90aaa9cd
- 1mo ago Changed · +43 lines · +28 tokens per session 7112d39a22fe
- 1mo ago Changed · +12 lines 9926ac7050d4
- 1mo ago First seen · 76 lines · 118 tokens per session scan A 2c407cb2a12c
vspawn is a skill published in the GitHub repository vlinx-io/VelaTerm (308 stars, last pushed today), licensed MIT. It adds 148 tokens to every session and 2,382 once invoked, about $0.0006 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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