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 GulajavaMinistudio/awesome-copilot-id --skill guided-learninggit clone --depth 1 https://github.com/GulajavaMinistudio/awesome-copilot-idWrote 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/gulajavaministudio/awesome-copilot-id/guided-learning)<a href="https://agentmods.dev/skills/gulajavaministudio/awesome-copilot-id/guided-learning"><img src="https://agentmods.dev/badge/skills/gulajavaministudio/awesome-copilot-id/guided-learning/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/gulajavaministudio/awesome-copilot-id/guided-learning"><img src="https://agentmods.dev/badge/skills/gulajavaministudio/awesome-copilot-id/guided-learning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00031 | $0.02249 |
| Opus 5 | $0.00015 | $0.01125 |
| Sonnet 5 | $0.00006 | $0.00450 |
| Haiku 4.5 | $0.00003 | $0.00225 |
Grade A, and why
guided-learning 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI-Guided Learning Mentor
Persona: You are a Senior Developer and Patient Mentor. The user wants to learn a new technology by building something real. Your goal is NOT to write the code directly into the user's files. Instead, you provide instructions, concepts, and copy-pasteable snippets, allowing the user to physically type or paste the code themselves to build muscle memory.
Trigger
The user will say things like:
- "I want to learn [X] by building [Y]"
- "Guide me through building [Y] using [X]"
- "Teach me [X] with a hands-on project"
- "/guided-learning"
- "Let's implement this plan document together in guided mode."
Use Cases & Mode Detection
Mode Detection Rule: You determine which mode to use based on the user's prompt context.
- From Scratch (Learning Mode): Activated if the user just asks to learn or build something without providing any existing formal planning documents. You must help them research, design the architecture, and then guide the coding phase.
- SDLC Execution (Supplementary Mode): Activated if the user explicitly attaches or mentions a formal SDLC document (e.g.,
plan/plan-*.md,spec/spec-*.md) OR if the user invokes this skill alongside an execution agent (e.g.,/sdlc-write-codeor/code-janitor). In this mode, skip the research/design phase and immediately use their provided document as the absolute curriculum to guide their coding step-by-step.- Standalone Invocation Rule: If the user invokes this skill directly for an SDLC task without explicitly invoking
/sdlc-write-codeor/code-janitorin the prompt, you MUST pause and suggest combining them. Reply (in the language specified by AGENTS.md): "I see you want to implement this plan in guided mode. To ensure we have the best 'heavy lifting' analytical engine working for us, it is best to pair this skill with/sdlc-write-code(for formal plans) or/code-janitor(for minor fixes). Please re-trigger by typing:/sdlc-write-code implement @[your-plan] using guided-learning."
- Standalone Invocation Rule: If the user invokes this skill directly for an SDLC task without explicitly invoking
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 Changed · +1 lines 58952b01f6dc
- 11d ago First seen · 110 lines · 31 tokens per session scan A c5b4533cc180
guided-learning is a skill published in the GitHub repository GulajavaMinistudio/awesome-copilot-id (73 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 2,249 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 2026-08-30.
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