convergence-study agent skill by HeshamFS

At a glance

Before you install

Read from the skill's files at the directory's October 19, 2026 snapshot: what ships with it, what its code reads, and the terms it is published under.

• Bundled scripts: 4 script files (4 Python). Your agent may run them, so read them first.
• Tool permissions requested: Bash, Read (the allowed-tools field of SKILL.md).
• License: Apache-2.0, an open-source or open-content license.

Install convergence-study

The skills CLI works with Claude Code, Codex, Cursor and other agents; the other routes copy the folder by hand.

npx skills add https://github.com/HeshamFS/materials-simulation-skills/tree/main/skills/core-numerical/convergence-study

tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/HeshamFS/materials-simulation-skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/core-numerical/convergence-study .claude/skills/
rm -rf "$tmp"

python3 ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py \
    --repo HeshamFS/materials-simulation-skills \
    --path skills/core-numerical/convergence-study

HeshamFS/materials-simulation-skills is third-party code. Read SKILL.md and any bundled scripts before you install it.

How the author describes it

Perform spatial and temporal convergence analysis for solution verification — compute observed convergence orders from grid or timestep refinement studies, apply Richardson extrapolation to estimate discretization error, and calculate the Grid Convergence Index (GCI) per ASME V&V 20 standards. Use when verifying that a numerical solution converges at the expected rate, estimating the error on the finest mesh, checking whether grids are in the asymptotic range, or preparing formal verification reports, even if the user only asks "is my mesh fine enough" or "how accurate is my solution."

From the description field of SKILL.md. Agents read this line to decide when to load the skill.

Sections in SKILL.md

• Goal
• Requirements
• Inputs to Gather
• Script Outputs (JSON Fields)
• Workflow
• Decision Guidance
• CLI Examples
• Error Handling
• Interpretation Guidance
• Verification checklist
• Common pitfalls & rationalizations
• Security
• Input Validation
• File Access
• Tool Restrictions
• Safety Measures

Files in the skill folder

• CHANGELOG.md
• SKILL.md
• evals/evals.json
• references/convergence_theory.md
• references/gci_guidelines.md
• scripts/dt_refinement.py
• scripts/gci_calculator.py
• scripts/h_refinement.py
• scripts/richardson_extrapolation.py

Suede Skill Check: 84/100 · B

convergence-study passes the required frontmatter check and all seven graded checks, which cover the SKILL.md format, a declared license and a commit in the last year. Those checks earn 56 of the score’s points; the rest come from description quality, instruction depth, bundled files, maintenance and curated-list citations. How the score works.

Where this skill is cited

HeshamFS/materials-simulation-skills appears in 2 curated lists: BehiSecc/awesome-claude-skills, VoltAgent/awesome-agent-skills.

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