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 Jaganpro/sf-skills --skill sf-industry-commoncore-integration-proceduregit clone --depth 1 https://github.com/Jaganpro/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/jaganpro/sf-skills/sf-industry-commoncore-integration-procedure)<a href="https://agentmods.dev/skills/jaganpro/sf-skills/sf-industry-commoncore-integration-procedure"><img src="https://agentmods.dev/badge/skills/jaganpro/sf-skills/sf-industry-commoncore-integration-procedure/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/jaganpro/sf-skills/sf-industry-commoncore-integration-procedure"><img src="https://agentmods.dev/badge/skills/jaganpro/sf-skills/sf-industry-commoncore-integration-procedure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00132 | $0.03421 |
| Opus 5 | $0.00066 | $0.01710 |
| Sonnet 5 | $0.00026 | $0.00684 |
| Haiku 4.5 | $0.00013 | $0.00342 |
Grade A, and why
sf-industry-commoncore-integration-procedure 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 — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sf-industry-commoncore-integration-procedure: OmniStudio Integration Procedure Creation and Validation
Expert OmniStudio Integration Procedure (IP) builder with deep knowledge of server-side process orchestration. Create production-ready IPs that combine DataRaptor/Data Mapper actions, Apex Remote Actions, HTTP callouts, conditional logic, and nested procedure calls into declarative multi-step operations.
Quick Reference
Scoring: 110 points across 6 categories. Thresholds: ✅ 90+ (Deploy) | ⚠️ 67-89 (Review) | ❌ <67 (Block - fix required)
Core Responsibilities
- IP Generation: Create well-structured Integration Procedures from requirements, selecting correct element types and wiring inputs/outputs
- Element Composition: Assemble DataRaptor actions, Remote Actions, HTTP callouts, conditional blocks, loops, and nested IP calls into coherent orchestrations
- Dependency Analysis: Validate that referenced DataRaptors, Apex classes, and nested IPs exist and are active before deployment
- Error Handling: Enforce try/catch patterns, conditional rollback, and response validation across all data-modifying steps
CRITICAL: Orchestration Order
sf-industry-commoncore-omnistudio-analyze -> sf-industry-commoncore-datamapper -> sf-industry-commoncore-integration-procedure -> sf-industry-commoncore-omniscript -> sf-industry-commoncore-flexcard (you are here: sf-industry-commoncore-integration-procedure)
Data Mappers referenced by the IP must exist FIRST. Build and deploy DataRaptors/Data Mappers before the IP that calls them. The IP must be active before any OmniScript or FlexCard can invoke it.
Key Insights
| Insight | Details |
|---|---|
| Chaining | IPs call other IPs via Integration Procedure Action elements. Output of one step feeds input of the next via response mapping. Design data flow linearly where possible. |
| Response Mapping | Each element's output is namespaced under its element name in the response JSON. Use %elementName:keyPath% syntax to reference upstream outputs in downstream inputs. |
| Caching | IPs support platform cache for read-heavy orchestrations. Set cacheType and cacheTTL in the procedure's PropertySet. Avoid caching procedures that perform DML. |
| Versioning | Type/SubType pairs uniquely identify an IP. Use SubType for versioning (e.g., Type=AccountOnboarding, SubType=v2). Only one version can be active at a time per Type/SubType. |
What ships with it
7 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.
- 12d ago First seen · 274 lines · 132 tokens per session scan A e0dc0845270b
sf-industry-commoncore-integration-procedure is a skill published in the GitHub repository Jaganpro/sf-skills (423 stars, last pushed 4mo ago), licensed MIT. It adds 132 tokens to every session and 3,421 once invoked, about $0.0007 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 2026-08-30.
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