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.
git clone --depth 1 https://github.com/mrlm-xyz/demo-claude-marketplaceWrote 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/commands/mrlm-xyz/demo-claude-marketplace/ingest)<a href="https://agentmods.dev/commands/mrlm-xyz/demo-claude-marketplace/ingest"><img src="https://agentmods.dev/badge/commands/mrlm-xyz/demo-claude-marketplace/ingest/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/commands/mrlm-xyz/demo-claude-marketplace/ingest"><img src="https://agentmods.dev/badge/commands/mrlm-xyz/demo-claude-marketplace/ingest.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00015 | $0.00240 |
| Opus 5.5 | $0.00006 | $0.00096 |
| Sonnet 5.5 | $0.00003 | $0.00048 |
| Haiku 4.5 | $0.00002 | $0.00024 |
Grade A, and why
ingest 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 2mo 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.
What it actually says
Ingest Command
Build a complete data ingestion pipeline with extraction, validation, transformation, and loading stages.
Scope
This command creates production-ready ingestion code that:
- Connects to data sources (databases, APIs, files)
- Validates data quality and schema compliance
- Transforms data to target schema
- Loads data into destination with error handling
- Logs metrics and errors for monitoring
Execution Flow
- Analyze source schema and data characteristics
- Design target schema and transformation logic
- Implement extraction with retry and timeout handling
- Add validation rules for data quality
- Build transformation pipeline with error handling
- Implement loading with transaction management
- Add comprehensive logging and metrics
- Create tests with realistic data samples
Constraints
- Use existing data-toolkit skills for implementation
- Follow idempotent design patterns
- Include data quality checks at each stage
- Add monitoring hooks for observability
- Document data lineage and assumptions
- Handle partial failures gracefully
- Provide rollback capabilities
- Test with production-scale data samples
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.
- 2mo ago First seen · 39 lines · 15 tokens per session scan A 5552f0910691
ingest is a command published in the GitHub repository mrlm-xyz/demo-claude-marketplace (35 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 15 tokens to every session and 240 once invoked, about $0.0001 per session on Opus 5.5. 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.
ingest compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ingestmrlm-xyz/demo-claude-marketplace | Command | 35 | 2mo ago | Apache-2.0 | A | 15 | Claude Code |
| bootmicrosoft/PromptKit | Command | 114 | 12d ago | MIT | A | 14 | GitHub Copilot |
| music-suno-promptfrankxai/Starlight-Intelligence-System | Command | 10 | 2d ago | MIT | A | 23 | Claude Code |
| audit-promptOwl-Listener/ai-design-skills | Command | 202 | 5mo ago | MIT | A | 13 | Claude Code |
| laravel-ai-sdkjpcaparas/superpowers-laravel | Command | 157 | 4mo ago | MIT | A | 27 | Claude Code |
| vlm-ocr-evaluationscdenney/open-science-skills | Command | 69 | 4d ago | none | A | 0 | Claude Code |
| dare-llm-integrationdewtech-technologies/dare-method | Command | 5 | 4mo ago | MIT | A | 0 | Claude Code |