Agent skill · Science · HeshamFS

ontology-mapper agent skill by HeshamFS

Maps materials science terms, crystal structures, and sample descriptions to standardized ontology classes and properties, producing ontology-compliant annotations and sample metadata.

View on GitHub Read SKILL.md

At a glance

PublisherHeshamFS
RepositoryHeshamFS/materials-simulation-skills (24 listed skills)
CategoryScience and Research
LicenseApache-2.0
Last commitJune 25, 2026 (repository)
SKILL.md235 lines, 2,165 words
Bundled files11 files, including references, scripts
Quality score82/100 · B Passes all seven graded checks
Security scanNot scanned
README badgeGet the badges for this listing

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.

Install ontology-mapper

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

Skills CLI
npx skills add https://github.com/HeshamFS/materials-simulation-skills/tree/main/skills/ontology/ontology-mapper
Claude Code, project-level copy
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/HeshamFS/materials-simulation-skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/ontology/ontology-mapper .claude/skills/
rm -rf "$tmp"
Codex installer
python3 ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py \
    --repo HeshamFS/materials-simulation-skills \
    --path skills/ontology/ontology-mapper

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

How the author describes it

Map materials science terms, crystal structures, and sample descriptions to standardized ontology classes and properties — resolve natural-language concepts to ontology entries with confidence scores, translate Bravais lattice types, space groups, and lattice constants into ontology-compliant annotations, and produce full sample metadata from structured descriptions. Supports any ontology in ontology_registry.json (CMSO, ASMO, etc.). Use when annotating simulation inputs with FAIR metadata, translating "BCC iron" or "FCC copper" into formal ontology terms, preparing machine- readable sample descriptions, or bridging between lab vocabulary and ontology vocabulary, even if the user only says "what CMSO terms describe my material" or "annotate this sample for me."

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

Sections in SKILL.md

Files in the skill folder

Suede Skill Check: 82/100 · B

Report snapshot · · graded-v2

The rubric totals 100 points; published scores are capped at 99. Security scan: not scanned.

Source revision: fa1ce8de76b2. Report version 17bdd66c5ab9. Badge URLs follow the latest listing; save the report to keep this version.

Download report · Request a fresh review

What to review next

  • Recent maintenance: 3 of 9 points. 9 for a repository commit within 30 days of the snapshot; 6 within 90; 3 within 180; 1 within 365.
  • Boundary clause: 0 of 4 points. 4 when the description says when not to use the skill (“Not for …”, “Do not use …”, “Use … instead”).
  • Description length: 3 of 5 points. 5 for 150–600 characters; 3 for 100–900; 1 for 50–1,024.

Add declarations and bundled files when they describe the skill’s actual needs. Update the source, then request a fresh review with the changed commit or PR.

ontology-mapper 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.

See the checks and points
CheckResult
Frontmatter parses and declares a name and a descriptionPass
Name uses lowercase letters, digits and hyphens, 64 characters or fewerPass
Name matches the skill's folder namePass
Description is between 50 and 1,024 charactersPass
Description says when an agent should use the skillPass
SKILL.md body is 500 lines or fewerPass
A license is declared in the frontmatter or the repositoryPass
Repository has a commit in the last 12 monthsPass
Score componentPoints
Structural checks56 of 56
Description length3 of 5
Boundary clause0 of 4
Example request3 of 3
Instruction depth7 of 7
Reference files3 of 3
Bundled scripts2 of 2
Recent maintenance3 of 9
Curated-list citations3 of 7
Tool permissions declared2 of 2
Compatibility declared0 of 2

Two badges for ontology-mapper

Suede Skill Check: 82/100Suede Skill Check: Grade B

Choose the numeric badge, the letter badge, or both. Each links to this skill’s Suede listing; either valid linked badge can qualify for the feature offer.

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[![Suede Skill Check: 82/100](https://skills.suedeai.ai/directory/heshamfs/materials-simulation-skills/ontology-mapper/score.svg)](https://skills.suedeai.ai/directory/heshamfs/materials-simulation-skills/ontology-mapper/)
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<a href="https://skills.suedeai.ai/directory/heshamfs/materials-simulation-skills/ontology-mapper/"><img src="https://skills.suedeai.ai/directory/heshamfs/materials-simulation-skills/ontology-mapper/badge.svg" alt="Suede Skill Check: Grade B" width="160" height="175"></a>

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Where this skill is cited

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

All science and research skills

More from HeshamFS/materials-simulation-skills

All 24 skills in HeshamFS/materials-simulation-skills