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 yugash007/edu-agent-skills --skill find-your-levelgit clone --depth 1 https://github.com/yugash007/edu-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/yugash007/edu-agent-skills/find-your-level)<a href="https://agentmods.dev/skills/yugash007/edu-agent-skills/find-your-level"><img src="https://agentmods.dev/badge/skills/yugash007/edu-agent-skills/find-your-level/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/yugash007/edu-agent-skills/find-your-level"><img src="https://agentmods.dev/badge/skills/yugash007/edu-agent-skills/find-your-level.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 | $0.00023 | $0.00813 |
| Opus 5 | $0.00012 | $0.00407 |
| Sonnet 5 | $0.00005 | $0.00163 |
| Haiku 4.5 | $0.00002 | $0.00081 |
Grade A, and why
find-your-level 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 11d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Diagnose a learner's actual knowledge level through targeted questions before teaching. Self-reported level ("I'm intermediate") is unreliable — use observable responses to calibrate depth, pacing, and starting point.
Activation
- New learner with no prior profile. Self-reported level inconsistent with responses. New topic with unknown background. Stale profile (2+ weeks) needs reconfirmation. Learner says "I'm not sure where to start."
- Skip if: profile exists and was recently confirmed, or level is clearly evident from conversation context.
- Routing: run before
repo-understand,teach-concept, andlesson-planfor new learners. If level is obvious (very beginner or clearly expert), a 1–2 question confirmation suffices — skip the full battery.
Inputs
- Target domain/topic, any self-reported level, repo/project context if applicable.
Level Definitions
- Beginner: can't explain core vocabulary or trace a basic example.
- Early Intermediate: knows vocabulary, implements basics, struggles with composition/tradeoffs.
- Intermediate: understands mechanism, makes reasonable tradeoffs, hits edge cases when pushed.
- Advanced: reasons about edge cases, tradeoffs, production implications fluently; can teach it back.
Diagnostic Tiers
3–5 questions in escalating difficulty. Stop when ceiling is reached (two consecutive weak answers).
- Tier 1: "Explain X in one sentence." → Fluent: advance. Not: Beginner.
- Tier 2: "Write/describe a minimal example of X." → Correct mechanism: advance. Partial: Early Intermediate.
- Tier 3: "When would you NOT use X?" → Genuine tradeoffs: advance. Vague: Intermediate.
- Tier 4: "Describe a production failure mode involving X." → Detailed: Advanced. Partial: Intermediate-Advanced.
Workflow
- Align — Confirm domain and goal. Ask self-reported confidence (1–5). Record as starting hypothesis, not conclusion.
- Diagnose — Start at tier matching self-report minus one. Ask one question at a time. Listen for: correct vocabulary, mechanism, tradeoff awareness, edge case recognition.
- Infer — Level = highest tier answered confidently. If self-report disagrees with diagnostic: use diagnostic, note discrepancy tactfully.
- Confirm — State inferred level with rationale. Ask: "Does this feel right?" Adjust based on learner input.
- Recommend — Beginner: start at prerequisites. Early Intermediate: mechanism + applied examples. Intermediate: tradeoffs + project context. Advanced: edge cases or deep-dive.
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.
- 11d ago First seen · 69 lines · 23 tokens per session scan A af23bfa95a0f
find-your-level is a skill published in the GitHub repository yugash007/edu-agent-skills (7 stars, last pushed 3mo ago), licensed MIT. It adds 23 tokens to every session and 813 once invoked, about $0.0001 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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