MongoDB Agent Skills is an official collection of skills and plugins that help AI coding agents work with MongoDB databases, including Atlas and self-managed deployments. Developers use it for query writing, schema design, query optimization, Atlas Search, and vector search. The catalogue entries are MongoDB’s own agent skills, plugins, and setup instructions.
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 mongodb/agent-skills --skill review-skillgit clone --depth 1 https://github.com/mongodb/agent-skillsWrote 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/mongodb/agent-skills/review-skill)<a href="https://agentmods.dev/skills/mongodb/agent-skills/review-skill"><img src="https://agentmods.dev/badge/skills/mongodb/agent-skills/review-skill.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00067 | $0.01524 |
| Opus 5 | $0.00034 | $0.00762 |
| Sonnet 5 | $0.00013 | $0.00305 |
| Haiku 4.5 | $0.00007 | $0.00152 |
Grade C, and why
review-skill scanned grade C with 2 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 9d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
- **macOS**: `curl -fsSL https://claude.ai/install.sh | bash` Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **macOS**: `curl -fsSL https://claude.ai/install.sh | bash` How it starts
The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Skill Workflow
You are helping an SME review an Agent Skill before publishing. This is a multi-step process: determine environment, verify prerequisites, run structural validation, review content, optionally run LLM scoring, and interpret results. Follow every step in order.
Step 0: Determine Environment
Check for saved configuration:
cat ~/.config/skill-validator/review-state.yaml 2>/dev/null
If the state file exists with prereqs_passed: true, offer:
Found saved settings — configured for [full/structural-only] reviews.
- Continue with saved settings — skip to Step 2
- Re-run prerequisite checks
- Change environment — switch between full and structural-only
Option 1: read llm_scoring from the file and skip to Step 2.
Options 2-3: continue below.
If no state file exists, or the user chose to re-check/change, ask:
LLM scoring evaluates content quality across multiple dimensions.
- Yes, run LLM scoring — full review with LLM scoring
- No, skip LLM scoring — structural validation only
Option 1: set LLM_SCORING=true.
Option 2: set LLM_SCORING=false. Run Step 1a only, then jump to Step 2.
Step 1: Verify Prerequisites
1a. Check for skill-validator binary
skill-validator --version
If not found, search common locations (/usr/local/bin, /opt/homebrew/bin,
~/go/bin). If found but not on PATH, tell the user. If not found anywhere,
follow references/install-skill-validator.md.
If --version is not at least v1.5.1, help the user upgrade with
brew upgrade skill-validator or
go install github.com/agent-ecosystem/skill-validator/cmd/skill-validator@latest.
Do NOT proceed until this succeeds.
1b. Check for claude CLI (LLM scoring only)
If LLM_SCORING=true, verify the Claude CLI is available:
claude --version
If not found, tell the user to install Claude Code:
- macOS:
curl -fsSL https://claude.ai/install.sh | bash - Other platforms: follow the Claude Code quickstart guide
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 179 lines · 67 tokens per session scan C c0bfc3574148
review-skill is a skill published in the GitHub repository mongodb/agent-skills (182 stars, last pushed 5d ago), licensed Apache-2.0. It adds 67 tokens to every session and 1,524 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
create-app
Build a Crowdin app end to end and leave the user with a published app they can click - scaffold it with @crowdin/serverless-apps-cli, write the UI with @crowdin/serverless-apps-sdk, publish it into their Crowdin or Crowdin Enterprise organization, and open it for them. Reach for this whenever someone wants something…
i18n-setup
Takes a project from hardcoded strings to internationalized, connected to Crowdin, and translating continuously. Use when someone wants to add i18n or multi-language support, internationalize an app, extract hardcoded strings, set up Lingui (or another i18n library), or connect Crowdin to a repository - including…
github-action
Sets up and debugs the Crowdin GitHub Action (crowdin/github-action), which syncs a repository with a Crowdin project and opens the translation pull request. Use whenever the user wires Crowdin into GitHub Actions, writes or reviews a .github/workflows/crowdin.yml step, tunes its inputs (uploadsources…
crowdin-cli
Guides correct usage of Crowdin CLI - the crowdin command that syncs localization files between a local project and Crowdin. Use whenever the user runs, scripts, or debugs crowdin commands, creates or edits a crowdin.yml configuration, uploads sources, downloads translations, checks translation status, auto-translates…
glossary-generation
Generates a starting glossary for a Crowdin project from the project's own source strings and uploads it with the Crowdin CLI. Use when someone wants to create a glossary, extract key terms or terminology from an app's strings, mark product and feature names as do-not-translate, or seed a Crowdin project with…
context-extraction
Writes meaningful aicontext values in Crowdin JSONL files for strings that need translator context. Use when extracting context, filling aicontext fields, adding context to ambiguous strings, or working with Crowdin JSONL context files.