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 vselfgit 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/vself)<a href="https://agentmods.dev/skills/vlinx-io/velaterm/vself"><img src="https://agentmods.dev/badge/skills/vlinx-io/velaterm/vself/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/vself"><img src="https://agentmods.dev/badge/skills/vlinx-io/velaterm/vself.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00074 | $0.00659 |
| Opus 5.5 | $0.00030 | $0.00264 |
| Sonnet 5.5 | $0.00015 | $0.00132 |
| Haiku 4.5 | $0.00007 | $0.00066 |
Grade A, and why
vself 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 11d 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.
What it actually says
vself
vself
vself <session>
vself [session] --json
Omit the target to query the calling session. A target accepts a full ID, an ID prefix of at least eight
characters, an exact name or a unique name substring. Quote names containing spaces. An ambiguous
reference returns candidates; use an exact ID rather than guessing. To find a session ID by name,
vrefer --list lists the connected instance's sessions, including those with no readable transcript.
The text form lists identity, parent, ancestors and direct children. Use --json whenever saved
attributes are requested. This works for terminal, agent and browser sessions, including archived ones,
without requiring a plan-execute workflow or an active process.
JSON has session, parent, ancestors and children. parent is null for a top-level session;
ancestors starts with the immediate parent. children contains only direct children, ordered as in
the sidebar, including archived children whose parent link is still saved. Query a child to inspect
its children. Relationships come from parentSessionId, not similar names or groupId.
Each session object contains its saved fields: ID, project/group, name, agent kind, shell, directory,
launch configuration, permissions, collaboration mode, preset, executable, shortcut, engine, native
conversation ID, parent ID, collapse/fork state, worktree and baseline ref, archive time, browser URL,
mark, sort order and creation time. Additional properties are modelSettings (saved model/effort),
launchModelSettings (model/effort explicitly present in saved launch arguments),
codexSettings (service tier/personality), claudeSettings (Chrome), autoContinue (saved resumption
schedule), and workflowIds (direct memberships). Null denotes an unset saved value, not an inferred
effective default. Lookup does not run the agent or sample its native configuration files.
redactedFields identifies masked launch input, environment values and URL credentials/query/fragment;
environment variable names remain visible. Do not interpret masked values as missing configuration.
Use vflow list <session> for related plan-execute tasks and current workflow states, or
vrefer <session> for its conversation. A native agentSessionId is different from the VelaTerm ID:
use id/sessionId in VelaTerm commands.
Run inside a VelaTerm-hosted session so the injected VLX_* environment points at the right backend.
Queries read only that connected instance. If the command rejects a target argument, the running
backend predates this query form; report the version mismatch instead of guessing or modifying SQLite.
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.
- 11d ago First seen · 50 lines · 74 tokens per session scan A 8365f2bbe374
vself is a skill published in the GitHub repository vlinx-io/VelaTerm (301 stars, last pushed 2d ago), licensed MIT. It adds 74 tokens to every session and 659 once invoked, about $0.0003 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 2026-10-06.
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