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 heyAyushh/stacc --skill create-learning-pathgit clone --depth 1 https://github.com/heyAyushh/staccWrote 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/heyayushh/stacc/create-learning-path)<a href="https://agentmods.dev/skills/heyayushh/stacc/create-learning-path"><img src="https://agentmods.dev/badge/skills/heyayushh/stacc/create-learning-path/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/heyayushh/stacc/create-learning-path"><img src="https://agentmods.dev/badge/skills/heyayushh/stacc/create-learning-path.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 | $0.00014 | $0.00159 |
| Opus 5.5 | $0.00006 | $0.00064 |
| Sonnet 5.5 | $0.00003 | $0.00032 |
| Haiku 4.5 | $0.00001 | $0.00016 |
Grade A, and why
create-learning-path 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
Create a learning path
Trigger
Building capability in a topic over multiple sessions.
Workflow
- Assess baseline knowledge and target outcomes.
- Sequence topics from fundamentals to applied practice.
- Define milestone projects and time-boxed checkpoints.
- Add deliberate practice exercises with feedback criteria.
- Review progress and adjust pacing.
Tools
- Use Ask user tool.
Guardrails
- Keep milestones achievable within the stated schedule.
- Include practice and reflection in every phase.
- Avoid resource overload by prioritizing a small set of materials.
Output
- Week-by-week or milestone-based plan
- Practice assignments
- Progress review rubric
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 · 36 lines · 14 tokens per session scan A 8e8fa59ad638
create-learning-path is a skill published in the GitHub repository heyAyushh/stacc (3 stars, last pushed 1mo ago), licensed MIT. It adds 14 tokens to every session and 159 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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