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 forcedotcom/sf-skills --skill education-cloud-student-recruitment-agent-configuregit clone --depth 1 https://github.com/forcedotcom/sf-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/forcedotcom/sf-skills/education-cloud-student-recruitment-agent-configure)<a href="https://agentmods.dev/skills/forcedotcom/sf-skills/education-cloud-student-recruitment-agent-configure"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/education-cloud-student-recruitment-agent-configure/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/forcedotcom/sf-skills/education-cloud-student-recruitment-agent-configure"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/education-cloud-student-recruitment-agent-configure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00200 | $0.04945 |
| Opus 5 | $0.00100 | $0.02472 |
| Sonnet 5 | $0.00040 | $0.00989 |
| Haiku 4.5 | $0.00020 | $0.00494 |
Grade A, and why
education-cloud-student-recruitment-agent-configure 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 7d 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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Configuring the Education Cloud Student Recruitment Agent
Scope
- In scope: The full SRA setup sequence — the three platform toggles (Einstein, SRA, Omni-Channel; Agentforce provisioning is a verify-only Step-1 gate, not a toggle the skill flips), the
EducationCloudAiAgentAccesspermission set + OWD/sharing foundation, Learning Program grounding (Data Cloud data stream + hybrid search index + prompt template) and Knowledge/data-library grounding, creating the Service (unauth) and Employee (auth) agents, adding the 4 packaged SRA subagents, building the customer escalation subagent, cloning and configuring the 6 admissions flows (Service path), and deploying to Experience Cloud channels with user verification. - Out of scope: The Transfer Credit Agent (separate agent, own perms/help — never include its steps); generic Agentforce agent authoring from scratch (see Cross-Skill Integration below); Data Cloud connector plumbing beyond the SRA grounding path; deciding the substance of Knowledge article content — Claude may draft an article for the customer to review, but the customer owns what it says.
- The EDU foundation is a checked dependency, not an assumption: SRA depends on base Education Cloud enablement, Person Accounts, R&A domain objects, and Data Cloud. This skill doesn't re-implement base Education Cloud domain enablement, but verifies each piece concretely (step 2a) and only surfaces a gap to the user to fill what it detects.
Required Inputs
Gather or infer before starting:
- Target org: An Agentforce- and Education-Cloud-provisioned org with admin access — see Workflow step 1 for the gate.
- Agent path(s): Unauthenticated (Service agent — the ASA, runs as the Einstein Agent User service account; no guest user), authenticated (Employee agent), or both.
- Which subagents/topics the customer wants live (default: all 4 packaged subagents + a custom escalation subagent).
- Whether to add Create Inquiry to the Escalation subagent (case-adjacent record creation on live-agent handoff) — ask if unspecified; the two outcomes are handoff-only, or handoff-plus-Create-Inquiry.
What ships with it
9 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.
- references/agent-and-subagents.md 34 KB
- references/customer-narration.md 7.7 KB
- references/execution-model.md 11 KB
- references/flows.md 13 KB
- references/grounding.md 38 KB
- references/permissions.md 32 KB
- references/platform-enablement.md 13 KB
- references/prerequisites.md 24 KB
- references/routing.md 23 KB
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.
- 7d ago First seen · 178 lines · 200 tokens per session scan A a3d7b432ab3e
education-cloud-student-recruitment-agent-configure is a skill published in the GitHub repository forcedotcom/sf-skills (987 stars, last pushed yesterday), licensed Apache-2.0. It adds 200 tokens to every session and 4,945 once invoked, about $0.0010 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 2026-09-05.
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