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 Cai-aa/CAE-Agent-Hub --skill curing-jobgit clone --depth 1 https://github.com/Cai-aa/CAE-Agent-HubWrote 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/cai-aa/cae-agent-hub/curing-job)<a href="https://agentmods.dev/skills/cai-aa/cae-agent-hub/curing-job"><img src="https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/curing-job/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/cai-aa/cae-agent-hub/curing-job"><img src="https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/curing-job.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00000 | $0.00515 |
| Opus 5 | $0.00000 | $0.00258 |
| Sonnet 5 | $0.00000 | $0.00103 |
| Haiku 4.5 | $0.00000 | $0.00052 |
Grade A, and why
curing-job 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 10d 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Curing Job Execution
Description
Submit Abaqus curing simulation jobs with UMAT subroutine via socket bridge. Invoke when user needs to create, submit, or monitor curing simulation jobs.
Content
Job Creation with UMAT
Create a job from an input file with the UMAT subroutine specified:
from abaqusConstants import *
job = mdb.JobFromInputFile(
name='job_name',
inputFileName=work_dir + '\\job_name.inp',
userSubroutine=umat_path,
numCpus=4,
numDomains=4
)
Job Submission
Submit the job with consistencyChecking=OFF to avoid unicode TypeError issues:
mdb.jobs['job_name'].submit(consistencyChecking=OFF)
Important: You MUST use consistencyChecking=OFF when submitting. Without this parameter, Abaqus may raise a unicode TypeError during the consistency check phase.
Monitoring Job Status
Check the current status of a submitted job:
status = mdb.jobs['job_name'].status
# Possible values: RUNNING, COMPLETED, SUBMITTED, etc.
Common Pitfalls
Unicode Errors
- Avoid using
print()with%formatting in the Abaqus kernel - Use
result = ...to return data instead of printing
String Key Issues
- Use plain strings for job names, not unicode strings
- Dictionary keys should be plain strings; unicode keys may fail
Multiple Jobs
- Submit jobs sequentially, not in parallel
- The first
submit()call in a loop may submit all jobs if not handled carefully - Wait for each job to complete before submitting the next
Job Output Location
- Scratch directory:
C:\Temp - ODB file generated at:
C:\Temp\job_name.odb
Post-Completion
After the job completes, copy the ODB file from the scratch directory to the work directory:
import shutil
shutil.copy(
'C:\\Temp\\job_name.odb',
work_dir + '\\job_name.odb'
)
Workflow Summary
- Create job from input file with UMAT subroutine path
- Submit with
consistencyChecking=OFF - Monitor job status until COMPLETED
- Copy ODB from
C:\Tempto work directory - Proceed to post-processing (ODB extraction, CSV export)
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.
- 10d ago First seen · 84 lines · 0 tokens per session scan A 318467526c53
curing-job is a skill published in the GitHub repository Cai-aa/CAE-Agent-Hub (868 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 515 tokens. 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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