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 acedergren/oci-agent-skills --skill genai-servicesgit clone --depth 1 https://github.com/acedergren/oci-agent-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/acedergren/oci-agent-skills/genai-services)<a href="https://agentmods.dev/skills/acedergren/oci-agent-skills/genai-services"><img src="https://agentmods.dev/badge/skills/acedergren/oci-agent-skills/genai-services/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/acedergren/oci-agent-skills/genai-services"><img src="https://agentmods.dev/badge/skills/acedergren/oci-agent-skills/genai-services.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00058 | $0.03334 |
| Opus 5.5 | $0.00023 | $0.01334 |
| Sonnet 5.5 | $0.00012 | $0.00667 |
| Haiku 4.5 | $0.00006 | $0.00333 |
Grade A, and why
genai-services 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 2mo 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 — 384 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OCI Generative AI Services - Expert Knowledge
🏗️ Use OCI Landing Zone Terraform Modules
Don't reinvent the wheel. Use oracle-terraform-modules/landing-zone for GenAI infrastructure.
Landing Zone solves:
- ❌ Bad Practice #1: Generic compartments (Landing Zone creates AI/ML workload compartments)
- ❌ Bad Practice #4: Poor segmentation (Landing Zone isolates GenAI endpoints in private subnets)
- ❌ Bad Practice #10: No monitoring (Landing Zone configures GenAI usage alarms)
This skill provides: GenAI cost optimization, rate limits, PHI/PII security, and troubleshooting for GenAI deployed WITHIN a Landing Zone.
⚠️ OCI CLI/API Knowledge Gap
You don't know OCI CLI commands or OCI API structure.
Your training data has limited and outdated knowledge of:
- OCI CLI syntax and parameters (updates monthly)
- OCI GenAI API endpoints and request/response formats
- GenAI service CLI operations (
oci generative-ai) - Available models, token limits, and pricing (changes frequently)
- Latest GenAI features (Agents, RAG) and API changes
When OCI operations are needed:
- Use exact CLI commands from this skill's references
- Do NOT guess OCI CLI syntax or parameters
- Do NOT assume model availability or pricing
- Load reference files for detailed GenAI API documentation
What you DO know:
- General LLM concepts and prompting patterns
- Token estimation and context management
- API integration patterns
This skill bridges the gap by providing current OCI GenAI-specific patterns and gotchas.
You are an OCI GenAI expert. This skill provides knowledge Claude lacks: cost optimization specifics, token management, rate limit handling, PHI/PII security, response validation, and model selection trade-offs.
NEVER Do This
❌ NEVER send PHI/PII identifiers to GenAI APIs (HIPAA/GDPR violation)
# WRONG - patient identifiers sent to external service
prompt = f"Transcribe note for patient {patient_name}, MRN {mrn}, SSN {ssn}: {note}"
# RIGHT - redact identifiers
prompt = f"Transcribe this medical note: {redacted_note}"
# Keep mapping: temp_id → real_id in secure database, not in prompts
What ships with it
2 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.
- 2mo ago First seen · 384 lines · 58 tokens per session scan A 70a02920b4aa
genai-services is a skill published in the GitHub repository acedergren/oci-agent-skills (22 stars, last pushed 6mo ago), licensed MIT. It adds 58 tokens to every session and 3,334 once invoked, about $0.0002 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 2026-08-30.
genai-services compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| genai-servicesacedergren/oci-agent-skills | Skill | 22 | 6mo ago | MIT | A | 58 | Claude Code |
| tensorrt-llmNousResearch/hermes-agent | Skill | 261k | today | MIT | A | 18 | Claude Code, Codex |
| agent-platform-tuninggoogle/skills | Skill | 23k | today | Apache-2.0 | A | 64 | Claude Code, Codex |
| google-cloud-solution-guided-gke-ai-migrationgoogle/skills | Skill | 23k | today | Apache-2.0 | A | 157 | Claude Code, Codex |
| apigee-agent-gateway-governancegoogle/skills | Skill | 23k | today | Apache-2.0 | A | 222 | Claude Code, Codex |
| gke-inferencegoogle/skills | Skill | 23k | today | Apache-2.0 | A | 119 | Claude Code, Codex |
| agent-platform-endpoint-managementgoogle/skills | Skill | 23k | today | Apache-2.0 | A | 64 | Claude Code, Codex |