Borrowing it
Nothing to install: this file belongs to Clientell-Ai/salesforce-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Clientell-Ai/salesforce-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/Clientell-Ai/salesforce-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/instructions/clientell-ai/salesforce-skills/agents-md)<a href="https://agentmods.dev/instructions/clientell-ai/salesforce-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/clientell-ai/salesforce-skills/agents-md.svg" alt="Measured on agentmods" 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 | $0.00269 | $0.00269 |
| Opus 5 | $0.00134 | $0.00134 |
| Sonnet 5 | $0.00054 | $0.00054 |
| Haiku 4.5 | $0.00027 | $0.00027 |
Grade A, and why
salesforce-skills AGENTS.md 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 8d 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
Salesforce Skills — Agent Discovery
This repository provides AI coding agents with specialized Salesforce development skills.
Available Skills
- sf-apex — Generate and review Apex code with governor limit awareness and CRUD/FLS compliance
- sf-test — Generate comprehensive test classes with bulk data, permission testing, and callout mocks
- sf-flow — Generate Flow metadata XML and migrate Process Builders to optimized Flows
- sf-lwc — Scaffold Lightning Web Components with Jest tests
- sf-soql — Build and optimize SOQL queries with security enforcement
- sf-security — Audit codebases for security vulnerabilities and AppExchange review readiness
- sf-deploy — Orchestrate deployments with dependency resolution and error diagnosis
- sf-data — Data migration, sandbox seeding, and bulk operations
- sf-schema — Scaffold custom objects, fields, permission sets, and validation rules
- sf-find — Discover the right Salesforce skill for your task
Prerequisites
- Salesforce CLI v2+ (
sf) - Authenticated Salesforce org (
sf org login web --alias myOrg)
Skill Locations
- Cross-client:
.agents/skills/ - Claude Code:
.claude/skills/ - Canonical source:
skills/
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.
- 8d ago First seen · 28 lines · 269 tokens per session scan A 61c899f8f6cf
salesforce-skills AGENTS.md is an instructions file published in the GitHub repository Clientell-Ai/salesforce-skills (15 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 269 tokens to every session, about $0.0013 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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