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Agami Model

Category: Engineering  ·  Sub-category: languages  ·  Last updated:
lang:rusttype:review
The single dashboard for the active profile's semantic model — browse, curate, AND sign off the trust layer in one surface. Browse every subject area, table, field, metric, entity, and join with live search; edit descriptions/metrics/entities/joins; exclude tables/columns you don't want queried; add new metrics; edit ORGANIZATION.md. Its **Review tab** is the trust-layer sign-off queue: approve / reject the AI-proposed metrics (Rule 1 — a query using an unsigned metric still answers but carries a warning until it's approved), entities, and inferred joins (Rule 2 — lazy, usable while unreviewed). Every action is queued, submitted back to Claude as one feedback block, applied via the curation engine, and gated by the validator before it touches the YAML. (This skill absorbed the former `/agami-review`.)
Security AStatic scan found no risk patternsHow grading works ›

From the source SKILL.md

You are running the unified model + trust surface — one dashboard to browse the live semantic model, curate it (exclude / edit / add), AND sign off the trust layer (approve / reject metrics, entities, joins). It replaces the separate model-explorer and review-dashboard surfaces.

What this skill does

Agami Model is a community-contributed Claude Code skill in the languages sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/agami-model/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Agami Model Claude Code skill is built for software engineers, backend developers, full-stack teams, and technical leads building and maintaining production systems. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 158,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/agami-model
curl -L https://claudskills.com/skills/agami-model/SKILL.md \
  -o ~/.claude/skills/agami-model/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/agami-model/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/agami-model/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\agami-model\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

Frequently asked questions

How do I install the Agami Model Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/agami-model/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Agami Model skill do?
The single dashboard for the active profile's semantic model — browse, curate, AND sign off the trust layer in one surface. Browse every subject area, table, field, metric, entity, and join with live search; edit descriptions/metrics/entities/joins; exclude tables/columns you don't want queried; add new metrics; edit ORGANIZATION.md. Its **Review tab** is the trust-layer sign-off queue: approve / reject the AI-proposed metrics (Rule 1 — a query using an unsigned metric still answers but carries a warning until it's approved), entities, and inferred joins (Rule 2 — lazy, usable while unreviewed). Every action is queued, submitted back to Claude as one feedback block, applied via the curation engine, and gated by the validator before it touches the YAML. (This skill absorbed the former `/agami-review`.)
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Agami Model skill?
Use Agami Model when your Claude Code task falls under the Engineering category — specifically in the languages area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Agami Model" or describe the task and let Claude pick). Browse related skills at /category/engineering/.
What is a Claude Code skill and how does the Agami Model skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Agami Model is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Engineering category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
AgamiAI. (2026). Agami Model [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/agami-model/
BibTeX
@misc{agami-model-2026,
  author    = {AgamiAI},
  title     = {Agami Model [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/agami-model/}
}

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Security scan

Grade A · scanned 2026-07-23 — free static scan against the OWASP Agentic Skills Top 10.

The scan flagged 1 of 10 categories (filesystem), including lower-severity patterns. Patterns shown inside code fences are weighted as examples rather than instructions — read the grading methodology for what this does and does not guarantee.

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