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 odb-extractiongit 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/odb-extraction)<a href="https://agentmods.dev/skills/cai-aa/cae-agent-hub/odb-extraction"><img src="https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/odb-extraction/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/odb-extraction"><img src="https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/odb-extraction.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 | $0.00674 |
| Opus 5 | $0.00000 | $0.00337 |
| Sonnet 5 | $0.00000 | $0.00135 |
| Haiku 4.5 | $0.00000 | $0.00067 |
Grade A, and why
odb-extraction 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ODB Extraction
Description
Extract field outputs from ODB files for curing simulation. Invoke when user needs to read ODB results, get displacement data, or inspect field outputs.
Content
Opening ODB
Open an ODB file in read-only mode:
from abaqusConstants import *
odb = session.openOdb(name='odb1', path=odb_path, readOnly=True)
ODB Structure
The curing simulation ODB has the following structure:
- Instances:
['P8-1', 'TOOL-1']P8-1: Composite part instanceTOOL-1: Tool part instance
- Steps:
['vis', 'rub', 'glassy', 'sp']- The
spstep has 7 frames - The last frame of the
spstep contains the final springback result
- The
Available Field Outputs
The following field outputs are available in the sp step last frame:
Standard Field Outputs
U— DisplacementS— StressPE— Plastic strainSDV1toSDV4— State variablesTEMP— TemperatureRF— Reaction forceNT— Nodal temperature
Contact Field Outputs
CDISP— Contact displacementCSTRESS— Contact stressCOPEN— Contact openingCPRESS— Contact pressureCSHEAR1,CSHEAR2— Contact shear stressesCSLIP1,CSLIP2— Contact slip
Note: COORD is NOT available as a field output. To get node coordinates, access them directly from instance.nodes.
Extracting Displacement
Extract displacement data from the last frame of the sp step:
last_frame = odb.steps['sp'].frames[-1]
u_field = last_frame.fieldOutputs['U']
u_map = {}
for val in u_field.values:
u_map[val.nodeLabel] = (val.data[0], val.data[1], val.data[2])
Getting Node Coordinates
Retrieve node coordinates directly from the instance:
inst = odb.rootAssembly.instances['P8-1']
for node in inst.nodes:
x, y, z = node.coordinates
# Process coordinates
Closing ODB
Always close the ODB after extraction to free resources:
odb.close()
Important: After calling odb.close(), do NOT access any instance objects (nodes, elements, field outputs) that were obtained before closing. Doing so will raise an AccessError. Extract all needed data into Python data structures (lists, dicts) before closing the ODB.
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 · 95 lines · 0 tokens per session scan A 9113049c10c2
odb-extraction is a skill published in the GitHub repository Cai-aa/CAE-Agent-Hub (859 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 674 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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