Agent skill

Curing Job

by Cai-aa in Cai-aa/CAE-Agent-Hub

Submit Abaqus curing simulation jobs with UMAT subroutine via socket bridge.

MITAuto-check passed

Install Curing Job

skills CLI
$ npx skills add Cai-aa/CAE-Agent-Hub --skill curing-job -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Cai-aa/CAE-Agent-Hub curing-job --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Skill/abaqus/composite-curing-simulation/execution/curing-job .claude/skills/curing-job && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
curing-job
GitHub stars
1k
Token cost
~584 tokens
SKILL.md length
230 words
Files
1
Skills in repo
57
Repo updated
First seen
Licence
MIT

At a glance

Submit Abaqus curing simulation jobs with UMAT subroutine via socket bridge.

  • Works in 5 steps: Create job from input file with UMAT… → Submit with consistencyChecking=OFF → Monitor job status until COMPLETED → …
  • Needs to create
  • SKILL.md covers Description and Content
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Curing Job is an agent skill from Cai-aa/CAE-Agent-Hub. Submit Abaqus curing simulation jobs with UMAT subroutine via socket bridge. Invoke when user needs to create, submit, or monitor curing simulation jobs.

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The licence is MIT.

When your agent uses it

  • Needs to create
  • Monitor curing simulation jobs

Example prompts

  • “/curing-job”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Create job from input file with UMAT subroutine path
  2. Submit with consistencyChecking=OFF
  3. Monitor job status until COMPLETED
  4. Copy ODB from C:\Temp to work directory
  5. Proceed to post-processing (ODB extraction, CSV export)

What it can do on your machine

Read from SKILL.md and the folder at commit 194ef49. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Curing Job loads about 584 tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 230 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~584

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Cai-aa/CAE-Agent-Hub at commit 194ef49, republished under its MIT licence (© Cai-aa). 230 words, ~584 tokens.

Download SKILL.mdSave it as .claude/skills/curing-job/SKILL.md (or your agent's skills folder).
name
curing-job
description
Submit Abaqus curing simulation jobs with UMAT subroutine via socket bridge. Invoke when user needs to create, submit, or monitor curing simulation jobs.

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:

python
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:

python
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:

python
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:

python
import shutil

shutil.copy(
    'C:\\Temp\\job_name.odb',
    work_dir + '\\job_name.odb'
)
Workflow Summary
  1. Create job from input file with UMAT subroutine path
  2. Submit with consistencyChecking=OFF
  3. Monitor job status until COMPLETED
  4. Copy ODB from C:\Temp to work directory
  5. Proceed to post-processing (ODB extraction, CSV export)

© Cai-aa, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Skill/abaqus/composite-curing-simulation/execution/curing-job of Cai-aa/CAE-Agent-Hub.

Open the folder on GitHubat commit 194ef49

Compare with similar skills

Curing Job next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Curing Job compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Curing Job this skillCai-aa/CAE-Agent-Hub1k—~584Automated safety check: PassMIT
Challenge Submit JobAgibotTech/genie_sim1.4k—~2.6kAutomated safety check: PassCustom licence
Technical Job Searchgithub/awesome-copilot40k—~1.2kAutomated safety check: PassMIT
Job Application AssistantMadsLorentzen/ai-job-search45k—~1.2kAutomated safety check: NotesMIT
Python Background Jobswshobson/agents40k—~1.8kAutomated safety check: PassMIT
Eas Simulatorsickn33/agentic-awesome-skills47k1 repos~6kAutomated safety check: NotesMIT

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Questions about Curing Job

What does Curing Job do?

Submit Abaqus curing simulation jobs with UMAT subroutine via socket bridge. Curing Job is an agent skill from Cai-aa/CAE-Agent-Hub. Submit Abaqus curing simulation jobs with UMAT subroutine via socket bridge.

When should I use Curing Job?

Curing Job fits situations like: needs to create; monitor curing simulation jobs.

How do I install Curing Job in Claude Code?

Run `npx skills add Cai-aa/CAE-Agent-Hub --skill curing-job -a claude-code`. Or copy the skill folder (Skill/abaqus/composite-curing-simulation/execution/curing-job in Cai-aa/CAE-Agent-Hub) into .claude/skills/curing-job in your project. Claude Code loads it when a task matches its description.

How do I install Curing Job in Codex?

Run `npx skills add Cai-aa/CAE-Agent-Hub --skill curing-job -a codex`. Or copy the skill folder (Skill/abaqus/composite-curing-simulation/execution/curing-job in Cai-aa/CAE-Agent-Hub) into .agents/skills/curing-job in your project. Codex loads it when a task matches its description.

Can I use Curing Job in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Cai-aa/CAE-Agent-Hub --skill curing-job -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/curing-job, .gemini/skills/curing-job, .github/skills/curing-job and .opencode/skills/curing-job in your project.

What does Curing Job need to run?

SKILL.md names no scripts, command-line tools or credentials: Curing Job is instructions for the agent only. Our summary lists: Python 3.

Does Curing Job access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Curing Job safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Curing Job use?

Curing Job is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Curing Job use?

About 584 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Curing Job?

Skills that share tags, products or a category with Curing Job: Challenge Submit Job (AgibotTech/genie_sim, 1.4k stars), Technical Job Search (github/awesome-copilot, 40k stars), Job Application Assistant (MadsLorentzen/ai-job-search, 45k stars) and Python Background Jobs (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Curing Job?

Cai-aa (a GitHub user) maintains it in Cai-aa/CAE-Agent-Hub, which has 1,003 GitHub stars. The repository holds 57 skills in this directory. The repository was last updated on September 30, 2026.

Source: Cai-aa/CAE-Agent-Hub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.