Borrowing it
Nothing to install: this file belongs to open-horizon-labs/repo-native-alignment. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/open-horizon-labs/repo-native-alignment/main/.agents/skills/teach-oh/SKILL.mdgit clone --depth 1 https://github.com/open-horizon-labs/repo-native-alignmentWrote 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/open-horizon-labs/repo-native-alignment/teach-oh)<a href="https://agentmods.dev/skills/open-horizon-labs/repo-native-alignment/teach-oh"><img src="https://agentmods.dev/badge/skills/open-horizon-labs/repo-native-alignment/teach-oh/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/open-horizon-labs/repo-native-alignment/teach-oh"><img src="https://agentmods.dev/badge/skills/open-horizon-labs/repo-native-alignment/teach-oh.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 | $0.00033 | $0.04105 |
| Opus 5.5 | $0.00013 | $0.01642 |
| Sonnet 5.5 | $0.00007 | $0.00821 |
| Haiku 4.5 | $0.00003 | $0.00411 |
Grade A, and why
teach-oh 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 — 508 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/teach-oh
Setup that gathers project context and saves it to AGENTS.md (the cross-agent standard). Run when starting on a project or when strategy/aims have shifted.
When to Use
Invoke /teach-oh when:
- Starting on a new project - Before diving into work
- Context keeps getting lost - AI assistants don't "get" your project
- Onboarding a new AI tool - Establish shared understanding upfront
- After major strategic shifts - When aims or constraints have changed
Do not use when: You're mid-task. This is setup, not execution.
The Process
Step 0: Check for RNA MCP (Repo-Native Alignment)
Before exploring, check if RNA is available — it makes everything that follows richer.
Detection (in order):
- Check if RNA's
search,repo_map,list_roots, oroutcome_progresstools are available in the current session - Check if
repo-native-alignmentis on PATH:which repo-native-alignment - Check if
.mcp.jsonreferencesrepo-native-alignmentorrna-server
If RNA is available: Proceed to Step 1. Use repo_map for orientation and search for symbols, artifacts, neighbors, and impact instead of Grep/Read.
If RNA is NOT available: Offer to install it:
"I can set up Repo-Native Alignment (RNA) — it gives me semantic code search, graph traversal, and business context awareness across your codebase. Takes ~1 minute. Want me to install it?"
If accepted:
-
Detect platform and chip:
OS=$(uname -s) ARCH=$(uname -m) CHIP=$(sysctl -n machdep.cpu.brand_string 2>/dev/null || echo "")- macOS ARM M4+:
Darwin+arm64+ brand_string contains "M4" → usedarwin-arm64-m4 - macOS ARM (other):
Darwin+arm64→ usedarwin-arm64 - Linux x86_64:
Linux+x86_64→ uselinux-x86_64
- macOS ARM M4+:
-
Invoke the repo-local
/rna-mcp:setupskill. It owns installation, selects a successful CI release artifact for an immutable commit, verifies the artifact, and configures the client. Never download a mutablelatestartifact or use a locally compiled binary as a shipped build.
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 · 508 lines · 33 tokens per session scan A 8a383e7346aa
teach-oh is a skill published in the GitHub repository open-horizon-labs/repo-native-alignment (6 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 4,105 once invoked, about $0.0001 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 2026-08-31.
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