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 wordlift/wordlift-gemini-cli-extension --skill wordlift-kg-buildergit clone --depth 1 https://github.com/wordlift/wordlift-gemini-cli-extensionWrote 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/wordlift/wordlift-gemini-cli-extension/wordlift-kg-builder)<a href="https://agentmods.dev/skills/wordlift/wordlift-gemini-cli-extension/wordlift-kg-builder"><img src="https://agentmods.dev/badge/skills/wordlift/wordlift-gemini-cli-extension/wordlift-kg-builder/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/skills/wordlift/wordlift-gemini-cli-extension/wordlift-kg-builder"><img src="https://agentmods.dev/badge/skills/wordlift/wordlift-gemini-cli-extension/wordlift-kg-builder.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 | $0.00091 | $0.07484 |
| Opus 5 | $0.00046 | $0.03742 |
| Sonnet 5 | $0.00018 | $0.01497 |
| Haiku 4.5 | $0.00009 | $0.00748 |
Grade A, and why
wordlift-kg-builder 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 1,024 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WordLift Knowledge Graph Builder
Build and maintain Knowledge Graphs from webpages using WordLift's Sitemap Import API, with focus on product catalogs and e-commerce data.
Core Capabilities
- Sitemap Import API: Direct import of URLs from sitemap.xml or URL lists
- Template Configuration: Interactive workflow to validate markup templates before bulk imports
- GS1 Digital Link for Products:
{dataset_uri}/01/{GTIN-14}identifiers - Slug-based IDs for Other Entities:
{dataset_uri}/{entity_type}/{slug}format (⚠️ MUST use recognized patterns) - Entity Reuse via GraphQL: Prevents duplicates by checking for existing entities (Organizations, Brands, People)
- SHACL Validation: Ensures data quality before upload with built-in shapes for Products, Organizations, WebPages, etc.
- JSON-LD Creation: Programmatic creation of schema.org markup with EntityBuilder
- Entity Upgrading: Post-import type changes and property updates using Fetch-Modify-Update pattern
- Entity Verification: Verify entities are actually persisted (not just 200 OK)
- Daily Sync Workflows: Full replacement or incremental PATCH updates
- Batch Operations: Efficient bulk create/update operations
Quick Start
1. Import Pages from Sitemap
Use the Sitemap Import API to jumpstart your Knowledge Graph:
API Endpoint: POST https://api.wordlift.io/sitemap-imports
from scripts.wordlift_client import WordLiftClient
client = WordLiftClient(api_key)
# Import from sitemap.xml
results = client.import_from_sitemap("https://example.com/sitemap.xml")
print(f"Imported {len(results)} pages")
# Or import specific URLs
results = client.import_from_urls([
"https://example.com/page1.html",
"https://example.com/page2.html"
])
The API returns NDJSON (newline-delimited JSON) with details about each imported page.
Important: The endpoint is /sitemap-imports (plural), not /sitemap/import or /sitemap-import.
2. Query Imported Data
What ships with it
20 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.
- assets/product_template.json 1.0 KB
- references/entity-reuse-and-shacl-validation.md 15 KB
- references/entity-upgrading.md 11 KB
- references/graphql_queries.md 3.9 KB
- references/iri-patterns-and-verification.md 12 KB
- references/scheduling.md 15 KB
- references/template-configuration.md 12 KB
- references/workflows.md 17 KB
- scripts/entity_builder.py 12 KB runs code
- scripts/entity_reuse.py 11 KB runs code
- scripts/entity_upgrader.py 8.4 KB runs code
- scripts/entity_verifier.py 7.8 KB runs code
- scripts/extract_products.py 11 KB runs code
- scripts/id_generator.py 6.9 KB runs code
- scripts/kg_sync.py 12 KB runs code
- scripts/markup_validator.py 7.4 KB runs code
- scripts/shacl_validator.py 12 KB runs code
- scripts/template_configurator.py 13 KB runs code
- scripts/test_endpoint.py 1.5 KB runs code
- scripts/wordlift_client.py 13 KB runs code
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.
- 12d ago First seen · 1,024 lines · 91 tokens per session scan A 6c291d2db4aa
wordlift-kg-builder is a skill published in the GitHub repository wordlift/wordlift-gemini-cli-extension (2 stars, last pushed 4mo ago), licensed MIT. It adds 91 tokens to every session and 7,484 once invoked, about $0.0005 per session on Opus 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 2026-08-31.
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