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 TianchenGuan/duke-cs-cluster-skill --skill my-jobsgit clone --depth 1 https://github.com/TianchenGuan/duke-cs-cluster-skillWrote 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/tianchenguan/duke-cs-cluster-skill/my-jobs)<a href="https://agentmods.dev/skills/tianchenguan/duke-cs-cluster-skill/my-jobs"><img src="https://agentmods.dev/badge/skills/tianchenguan/duke-cs-cluster-skill/my-jobs/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/tianchenguan/duke-cs-cluster-skill/my-jobs"><img src="https://agentmods.dev/badge/skills/tianchenguan/duke-cs-cluster-skill/my-jobs.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 | $0.00057 | $0.00484 |
| Opus 5 | $0.00028 | $0.00242 |
| Sonnet 5 | $0.00011 | $0.00097 |
| Haiku 4.5 | $0.00006 | $0.00048 |
Grade A, and why
my-jobs 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 12d 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
My Jobs on the Duke CS Cluster
When invoked, show the current user's cluster footprint.
Behavior
- Run
bash ~/.claude/skills/duke-cluster/scripts/check_my_jobs.sh. - Parse the output into two tables (running, pending) plus a totals summary.
- Highlight if the user is near their per-user caps (500 CPUs, 50 GPUs, 500 jobs).
Output format
Running ({N} jobs):
Job ID Name Elapsed Remaining CPUs GPUs Node ... Pending ({M} jobs):
Job ID Name Time limit CPUs GPUs Reason ... Totals: {cpus_running} CPUs and {gpus_running} GPUs currently allocated to you. Limits: 500 CPUs / 50 GPUs / 500 jobs total.
{If near limit:} Warning: You're at {X}% of your GPU cap — new GPU requests may wait.
If the user has zero jobs, say so clearly: "No jobs currently running or pending for $USER."
Implementation notes
- The script's output is already structured — just reformat it into markdown tables.
- For "Reason" in pending jobs, the common codes have plain-English meanings:
Priority— other jobs ahead of yoursResources— all resources allocated, wait for releaseQOSMaxJobsPerUserLimit— you hit the 500-job capAssocGrpGRES— you hit the 50-GPU capAssocGrpCpuLimit— you hit the 500-CPU capReqNodeNotAvail— the specific node you asked for is down or drained
- Translate these for the user rather than pasting the raw code.
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.
- 12d ago First seen · 47 lines · 57 tokens per session scan A 4b4f458504d5
my-jobs is a skill published in the GitHub repository TianchenGuan/duke-cs-cluster-skill (6 stars, last pushed 5mo ago), licensed MIT. It adds 57 tokens to every session and 484 once invoked, about $0.0003 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 2026-08-31.
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