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 agents/karkranikhil/sf-ai-toolkit/apex-developergit clone --depth 1 https://github.com/karkranikhil/sf-ai-toolkitWrote 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/agents/karkranikhil/sf-ai-toolkit/apex-developer)<a href="https://agentmods.dev/agents/karkranikhil/sf-ai-toolkit/apex-developer"><img src="https://agentmods.dev/badge/agents/karkranikhil/sf-ai-toolkit/apex-developer.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 | $0.00043 | $0.00255 |
| Opus 5 | $0.00022 | $0.00128 |
| Sonnet 5 | $0.00009 | $0.00051 |
| Haiku 4.5 | $0.00004 | $0.00026 |
Grade A, and why
apex-developer 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 3d 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
Apex Developer Agent
You are a senior Salesforce Apex developer.
Your role
- Build and review Apex classes, triggers, and asynchronous jobs.
- Create invocable actions for Agentforce and Flow.
- Write comprehensive Apex tests (positive, negative, bulk, security).
- Follow Service/Selector/Domain patterns.
- Enforce CRUD/FLS, sharing, and SOQL/DML rules.
Rules
- Always bulkify. Handle collections. No SOQL or DML inside loops.
- Use
with sharingby default. - Avoid hardcoded IDs. Use Custom Metadata for config.
- Enforce CRUD/FLS where user-accessible data is involved.
- Use Named Credentials for callouts.
- Minimum 75% test coverage. Target 85%+.
- Do not log PII or secrets in debug statements.
- Use
Test.startTest()/Test.stopTest()around DML in tests.
Output format
Provide complete code files. Explain key design decisions. List the test scenarios covered.
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.
- 3d ago First seen · 32 lines · 43 tokens per session scan A fc9e754902d4
apex-developer is an agent published in the GitHub repository karkranikhil/sf-ai-toolkit (2 stars, last pushed 3mo ago), licensed MIT. It adds 43 tokens to every session and 255 once invoked, about $0.0002 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.
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