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 ai-ecoverse/slicc --skill jshdgit clone --depth 1 https://github.com/ai-ecoverse/sliccWrote 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/ai-ecoverse/slicc/jshd)<a href="https://agentmods.dev/skills/ai-ecoverse/slicc/jshd"><img src="https://agentmods.dev/badge/skills/ai-ecoverse/slicc/jshd/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/ai-ecoverse/slicc/jshd"><img src="https://agentmods.dev/badge/skills/ai-ecoverse/slicc/jshd.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 | $0.00071 | $0.00605 |
| Opus 5.5 | $0.00028 | $0.00242 |
| Sonnet 5.5 | $0.00014 | $0.00121 |
| Haiku 4.5 | $0.00007 | $0.00060 |
Grade A, and why
jshd 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.
What it actually says
jshd: durable background jsh units
Use jshd when a .jsh script (or skill command) should keep running after the bash call returns, and come back after a reload.
Do not use a detached bash job (background_after: 0) for this. Detached jobs die with the kernel worker. jshd persists a unit record and restores --enabled units on boot.
jshd start -n watcher --enable --restart always /workspace/watch.jsh
jshd ls
jshd logs watcher -n 50
jshd stop watcher # stop, do not restart
kill <pid> # same: stop, do not restart
jshd enable watcher # restore on next reload
jshd disable watcher # leave running, skip restore
jshd rm watcher # stop and delete record + log
Records: /workspace/.jshd/<name>.json. Logs: /workspace/.jshd/log/<name>.log.
ps shows the unit as kind: jsh. Restart policy (always / on-failure / no) applies only to a natural exit. A crash-loop (8 failures in 60s) marks the unit errored and licks the cone.
Keep-alive is the realm: pending timers or host-event subscriptions (hid/usb event listeners, sliccy:computer.register) keep the worker up. A script that returns with nothing pending exits.
A durable computer backend is a jshd unit that calls require('sliccy:computer').register(...). The register() subscription to host computer-call events is the keep-alive; handlers.subscribe is the computer watch push path. Example: /workspace/skills/jshd/examples/fake-computer.jsh.
--enabled units are relaunched after mounts restore and before the cone's first turn. Restored units keep canonical PATH, can still exec child commands, and run through the cone's SudoFS (writes to /etc/sudoers still require approval). Restricted scoop shells cannot jshd start (or stop/restart/rm/enable/disable) — units are cone-owned.
On the thin Chrome extension, start still runs as best effort; ls reports the unit is not durable (no DedicatedWorker).
What ships with it
1 file 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.
- 1mo ago First seen · 39 lines · 71 tokens per session scan A 866eeed4472a
jshd is a skill published in the GitHub repository ai-ecoverse/slicc (34 stars, last pushed 2d ago), licensed Apache-2.0. It adds 71 tokens to every session and 605 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 2026-09-19.
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