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 build-with-megit 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/build-with-me)<a href="https://agentmods.dev/skills/yugash007/edu-agent-skills/build-with-me"><img src="https://agentmods.dev/badge/skills/yugash007/edu-agent-skills/build-with-me/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/build-with-me"><img src="https://agentmods.dev/badge/skills/yugash007/edu-agent-skills/build-with-me.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 | $0.00024 | $0.00690 |
| Opus 5 | $0.00012 | $0.00345 |
| Sonnet 5 | $0.00005 | $0.00138 |
| Haiku 4.5 | $0.00002 | $0.00069 |
Grade A, and why
build-with-me 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 12d 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Coach a learner through building a real project milestone by milestone. Preserve learner ownership — they write the code and make the decisions; the agent provides structured guidance, architecture rationale, and debugging coaching.
Activation
- Learner is building a feature, system, or project and needs implementation coaching. Project scope is defined enough to break into milestones. Learner asks "how should I implement this?" or "help me build this."
- Skip if: learner needs concept explanation first →
teach-concept. Learner is stuck on a specific bug →debug-teacher. Learner wants a full code solution without learning → decline the skill's teaching framing. - Routing: use
architecture-reviewfor design phase. Usedebug-teacherfor debugging phase. Useproject-reviewat completion. Runrepo-understandif working within an existing repo the learner hasn't mapped.
Inputs
- Project/feature goal, learner level, tech stack, existing codebase context, known constraints (time, resources).
Workflow
- Scope — Restate the goal as a measurable outcome. Break into 3–5 milestones with clear acceptance criteria. Get learner buy-in.
- Architecture — Outline minimal architecture. Explain rationale for each major decision. Ask learner to identify tradeoffs. Use
architecture-reviewif design is non-trivial. - Build (per milestone) — Coach one milestone at a time. Provide: what to implement, hints on approach, and what to avoid. Learner writes the code; agent reviews and coaches. Include an acceptance check per milestone.
- Debug — When learner hits bugs: switch to hypothesis-driven debugging. Require evidence gathering before fixes. Use
debug-teacherfor complex issues. - Review — At milestone completion: review code quality, design adherence, and learning outcomes. Use Praise-Critique-Grow.
- Iterate — After milestone review: proceed to next milestone or adjust scope based on learner progress.
Rules
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.
- 12d ago First seen · 55 lines · 24 tokens per session scan A 23a14fa756ac
build-with-me is a skill published in the GitHub repository yugash007/edu-agent-skills (7 stars, last pushed 3mo ago), licensed MIT. It adds 24 tokens to every session and 690 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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