forcedotcom/sf-skills is a collection of reusable instructions that help AI coding agents build and work with Salesforce applications and platform features. Developers use it for Agentforce agents, Lightning apps, Flow, Apex, SOQL, Lightning Web Components, and related Salesforce configuration. The catalogue entries are the repository’s skills, plugins, commands, MCP servers, and agents for AI tools that support skills.
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 design-systems-slds-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/design-systems-slds-validate)<a href="https://agentmods.dev/skills/forcedotcom/sf-skills/design-systems-slds-validate"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/design-systems-slds-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/design-systems-slds-validate"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/design-systems-slds-validate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 29 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 50 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 234 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00220 | $0.02934 |
| Opus 5.5 | $0.00088 | $0.01174 |
| Sonnet 5.5 | $0.00044 | $0.00587 |
| Haiku 4.5 | $0.00022 | $0.00293 |
Grade A, and why
design-systems-slds-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 1mo 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 — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SLDS Quality Audit
Audit Lightning Web Components for SLDS compliance and produce an automated scorecard plus a required manual review gate. Combines SLDS linter output with supplementary static analysis to catch what the linter misses.
Scope
Also valid for: auditing SLDS compliance across a project or component set, and before/after quality comparison after making changes.
Not for:
- Fixing linter violations — use
design-systems-slds2-migrateinstead - Building new components — use
design-systems-slds-applyinstead - Just running the linter — run
npx @salesforce-ux/slds-linter@latest lint .directly - Full WCAG accessibility audit — this skill checks attribute presence only (labels, alt text, focus indicators), not contrast ratios, keyboard flows, or screen reader behavior
- Framework-specific template auditing beyond
.css,.html, and.jsfiles — JSX/TSX/Vue/Svelte outputs need additional manual review
Quality Validation Process
1. Run SLDS Linter → Collect violation counts (linter's job)
2. Run Analyze Script → Check what linter doesn't cover (supplementary)
3. Agent Review → Required manual review gate
4. Score & Grade → Compute automated score + final recommendation
5. Generate Report → Produce formatted scorecard
Step 1: Run SLDS Linter
Run the linter to collect baseline violation data:
npx @salesforce-ux/slds-linter@latest lint <component-path> 2>&1
Count violations by rule. These feed directly into the Linter Compliance score:
| Rule | Impact |
|---|---|
slds/class-override |
Breaks theming, dark mode |
slds/lwc-token-to-slds-hook |
SLDS 1 technical debt |
slds/no-hardcoded-values |
Breaks theming, accessibility |
Linter Compliance Score = 100 - (total_violations × 10), minimum 0.
If the linter is unavailable (no Node.js, no network access, CI sandbox restrictions): skip this step, note "Linter not run" in the report header, mark Linter Compliance as N/A, and compute the Overall score using the remaining 4 categories renormalized to 100%:
What ships with it
3 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.
- 1mo ago First seen · 273 lines · 220 tokens per session scan A 7a045967d620
design-systems-slds-validate is a skill published in the GitHub repository forcedotcom/sf-skills (1,097 stars, last pushed today), licensed Apache-2.0. It adds 220 tokens to every session and 2,934 once invoked, about $0.0009 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 2026-09-03.
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