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 Sitecore/content-sdk --skill content-sdk-graphql-data-fetchinggit clone --depth 1 https://github.com/Sitecore/content-sdkWrote 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/sitecore/content-sdk/content-sdk-graphql-data-fetching)<a href="https://agentmods.dev/skills/sitecore/content-sdk/content-sdk-graphql-data-fetching"><img src="https://agentmods.dev/badge/skills/sitecore/content-sdk/content-sdk-graphql-data-fetching/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/sitecore/content-sdk/content-sdk-graphql-data-fetching"><img src="https://agentmods.dev/badge/skills/sitecore/content-sdk/content-sdk-graphql-data-fetching.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 | $0.00030 | $0.00327 |
| Opus 5.5 | $0.00012 | $0.00131 |
| Sonnet 5.5 | $0.00006 | $0.00065 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
content-sdk-graphql-data-fetching 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 15d 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
Data fetching (Angular)
Detail: AGENTS-loaders-and-di.md#the-loaderfn-contract
Read first: src/content-sdk/loaders/page.loader.ts, src/content-sdk/client/sitecore-client.ts
When
- Fetching page or dictionary data
- Preview / Design Library data
- A component needs additional Sitecore content
Rules
- All Sitecore data enters through loaders — never
HttpClientin a component for layout data - One client:
getClient()lazy singleton; do not callnew SitecoreClient(...)elsewhere - Path from
splitLocaleFromPath(context.url, scConfig.angular.locales).nonLocalePath; locale fromgetLanguage(context); site fromgetSiteName(context) getClient().getPage(path, { locale, site, personalize }); dictionary viagetClient().getDictionary({ locale, site })- Preview:
getEditingPreviewData(context.csdkRequestData)→getPreview()
Stop
- Stop if fetching Sitecore layout client-side when the loader path is intended
- Stop if the fetch would need Angular DI inside the loader body
Docs: Content SDK for Angular.
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.
- 15d ago First seen · 31 lines · 30 tokens per session scan A 0b8617e7b71b
content-sdk-graphql-data-fetching is a skill published in the GitHub repository Sitecore/content-sdk (37 stars, last pushed yesterday), licensed Apache-2.0. It adds 30 tokens to every session and 327 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 2026-10-02.
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