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 agentmods add skills/kugamon/salesforce-core-skills/sf-debugnpx skills add kugamon/salesforce-core-skills --skill sf-debuggit clone --depth 1 https://github.com/kugamon/salesforce-core-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/kugamon/salesforce-core-skills/sf-debug)<a href="https://agentmods.dev/skills/kugamon/salesforce-core-skills/sf-debug"><img src="https://agentmods.dev/badge/skills/kugamon/salesforce-core-skills/sf-debug.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 | $0.00161 | $0.02530 |
| Opus 5 | $0.00081 | $0.01265 |
| Sonnet 5 | $0.00032 | $0.00506 |
| Haiku 4.5 | $0.00016 | $0.00253 |
Grade A, and why
sf-debug 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 5d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
5 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.
- 5d ago First seen · 226 lines · 161 tokens per session scan A 044f0dfc0c3a
sf-debug is a skill published in the GitHub repository kugamon/salesforce-core-skills (0 stars, last pushed 6d ago), with no licence file. It adds 161 tokens to every session and 2,530 once invoked, about $0.0008 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 2026-08-31.
Other skills, from other repositories
sf-debug
Debug and troubleshoot Salesforce applications using debug logs, governor limit monitoring, error diagnosis, and performance profiling. Use when analyzing debug logs, diagnosing governor limit violations, interpreting stack traces, resolving common Salesforce errors, or profiling Apex performance. Activate on .log…
nebula-logger-instrumentation
Use this skill when the user wants to add or update Nebula Logger instrumentation in Apex, LWC, Aura, Flow, or OmniStudio. Covers logging APIs, save patterns, record association, scenarios, tags, async transaction linking, and save method selection.
cocoreview
CocoReview — structured code review with six-severity findings vocabulary, progressive disclosure architecture, and universal anti-pattern baseline. Invoked via $review [file] [--complexity] [--security] [--architecture] [--language ].
meter-reconcile
Skill-native CocoMeter transcript reconciliation and adapter canary. Replaces the former meter-reconcile and adapter-self-test runtime helpers.
afrexai-performance-engineering
Complete performance engineering system — profiling, optimization, load testing, capacity planning, and performance culture. Use when diagnosing slow applications, optimizing code/queries/infrastructure, load testing before launch, planning capacity, or building performance into CI/CD. Covers Node.js, Python, Go…
agent-anti-false-completion
用于减少 AI Agent"没做却说做了""没验证却说完成了"等假完成行为的可靠性技能。通过任务约束、结果校验和执行规范,帮助 Agent 在复杂任务中保持真实执行、明确验证与可信交付。适用于代码、调试、研究、写作、规划、运维、API 集成、数据分析、部署等所有任务类型。.