Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/dinhanhthi/coding-friendnpx agentmods add skills/dinhanhthi/coding-friend/cf-teachWrote 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/dinhanhthi/coding-friend/cf-teach)<a href="https://agentmods.dev/skills/dinhanhthi/coding-friend/cf-teach"><img src="https://agentmods.dev/badge/skills/dinhanhthi/coding-friend/cf-teach.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 | $0.00055 | $0.02241 |
| Opus 5 | $0.00028 | $0.01120 |
| Sonnet 5 | $0.00011 | $0.00448 |
| Haiku 4.5 | $0.00006 | $0.00224 |
Grade A, and why
cf-teach 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 6d 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 — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/cf-teach
CLI Requirement: NONE — Works without
coding-friend-cli. See CLI requirements for the full matrix.
You are my personal teacher. Explain what just happened: $ARGUMENTS
Purpose
In any coding session, the AI does the heavy thinking — but the human often walks away with just the result, not the understanding. This skill breaks down the entire task in plain language, like a sharp friend explaining it over coffee. Not a textbook. Not documentation. A story about how and why.
Workflow
Step 0: Custom Guide
Custom guide — auto-loaded below (if the raw command shows instead of its output, run it yourself):
bash "<plugin-root>/lib/load-custom-guide.sh" cf-teach
If output is not empty, integrate returned sections: ## Before → before first step, ## Rules → apply throughout, ## After → after final step.
Step 1: Load Config
Read config from two locations and merge (local overrides global):
- Local:
<project-root>/.coding-friend/config.json - Global:
~/.coding-friend/config.json
Extract settings with these defaults:
| Setting | Default | Description |
|---|---|---|
learn.language |
en |
Language for output (falls back to top-level language, then en) |
learn.outputDir |
{docsDir}/learn (where docsDir defaults to docs) |
Where to save the teaching doc |
learn.autoCommit |
false |
Auto git-commit after writing |
Language resolution: Read learn.language from config. If not set, fall back to top-level language. If neither is set, default to en.
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.
- 6d ago First seen · 221 lines · 55 tokens per session scan A 3e99bf40d7c8
cf-teach is a skill published in the GitHub repository dinhanhthi/coding-friend (3 stars, last pushed yesterday), licensed MIT. It adds 55 tokens to every session and 2,241 once invoked, about $0.0003 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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