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 ashgithub/ocigeniworkshop --skill repo-tour-guidegit clone --depth 1 https://github.com/ashgithub/ocigeniworkshopWrote 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/ashgithub/ocigeniworkshop/repo-tour-guide)<a href="https://agentmods.dev/skills/ashgithub/ocigeniworkshop/repo-tour-guide"><img src="https://agentmods.dev/badge/skills/ashgithub/ocigeniworkshop/repo-tour-guide/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/ashgithub/ocigeniworkshop/repo-tour-guide"><img src="https://agentmods.dev/badge/skills/ashgithub/ocigeniworkshop/repo-tour-guide.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 | $0.00055 | $0.00366 |
| Opus 5.5 | $0.00022 | $0.00146 |
| Sonnet 5.5 | $0.00011 | $0.00073 |
| Haiku 4.5 | $0.00006 | $0.00037 |
Grade A, and why
repo-tour-guide 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.
What it actually says
Repo Tour Guide
Use this skill to give a first, friendly map of the repo. Keep the answer practical and point the user to a small number of next files.
Workflow
- Read the root
README.mdfirst if the user's goal is broad. - Identify the user's likely path: OpenAI SDK, LangChain, OCI-native, database, RAG, agents, multimodal, or skills.
- Point to 3-5 files or folders maximum, with one sentence for why each matters.
- Recommend one safe first action, such as opening a README or running
uv run AISandboxEnvCheck.py. - Mention environment needs only when they affect the next step.
Quick Map
openai_sdk/: preferred path for OpenAI-compatible OCI examples.langChain/: framework path for LLM apps, RAG, agents, tools, and multimodal flows.oci_genai/: OCI-native examples kept for direct SDK and legacy workflows.database/: Oracle Database AI examples, including Select AI, NL2SQL, RAG, and semantic cache.openai_sdk/skills/: examples for local, inline, curated, and hosted skills.
Output Shape
Return:
Start here: the best entry point.Why: short context for the recommendation.Open next: a short file list.First safe command: include only when the command is local and beginner-friendly.
What ships with it
1 file 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 · 34 lines · 55 tokens per session scan A ac91fe108aca
repo-tour-guide is a skill published in the GitHub repository ashgithub/ocigeniworkshop (22 stars, last pushed 3mo ago), licensed CC0-1.0. It adds 55 tokens to every session and 366 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.
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