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 life-sciences-prerequisites-validategit 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/life-sciences-prerequisites-validate)<a href="https://agentmods.dev/skills/forcedotcom/sf-skills/life-sciences-prerequisites-validate"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/life-sciences-prerequisites-validate/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/life-sciences-prerequisites-validate"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/life-sciences-prerequisites-validate.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 | $0.00209 | $0.01975 |
| Opus 5 | $0.00105 | $0.00988 |
| Sonnet 5 | $0.00042 | $0.00395 |
| Haiku 4.5 | $0.00021 | $0.00198 |
Grade A, and why
life-sciences-prerequisites-validate 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Life Sciences Cloud Prerequisites Validation
Validates that a Salesforce org meets all prerequisites for Life Sciences Cloud for Customer Engagement. Runs checks via the sf CLI against the currently authenticated org and produces a consolidated pass/fail report with remediation steps for any failures.
Scope
- In scope: Validating org settings, user permissions, OWD sharing, and feature toggles required for Life Sciences Cloud CE
- Out of scope: Automatically enabling or configuring settings that fail validation
Off-topic requests
If the user asks for something unrelated to this skill (either at the start or mid-execution), do not attempt it. Tell the user you did not understand the request, then show what you can help with: validating Life Sciences Cloud org prerequisites (this skill), and — if relevant — point them to life-sciences-territory-configure for territory setup or life-sciences-fieldsalesrep-coordinate for the full end-to-end setup. Then stop and wait.
Required Inputs
Gather before proceeding:
- Target org: The org alias or username to validate (from
sf config get target-orgor user-specified) - Confirmation: The logged-in user must be the admin whose profile and permission sets are being validated
Workflow
All checks run sequentially. Collect all results before presenting the final report.
Phase 1 — Validate Environment
-
Confirm org connection — run
sf org display --target-org <org>to verify the org is accessible. If it fails, stop and ask the user to authenticate. -
Identify the logged-in user — extract the username from the org display output.
Phase 2 — Run All Prerequisite Checks
Run each check below. For each, record PASS or FAIL with the remediation steps. The checks use the canonical Check 1 – Check 12 numbering from the reference files and the final report; the managed-package check is an un-numbered hard-stop gate, not one of the 12 scored categories. Checks 1–3 (and the managed-package gate) are in references/checks-user-and-package.md; Checks 4–12 are in references/checks-org-settings.md.
What ships with it
2 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.
- 7d ago First seen · 139 lines · 209 tokens per session scan A 7dfecae47b18
life-sciences-prerequisites-validate is a skill published in the GitHub repository forcedotcom/sf-skills (987 stars, last pushed yesterday), licensed Apache-2.0. It adds 209 tokens to every session and 1,975 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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