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 GarethManning/education-agent-skills --skill panel-reviewgit clone --depth 1 https://github.com/GarethManning/education-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/garethmanning/education-agent-skills/panel-review)<a href="https://agentmods.dev/skills/garethmanning/education-agent-skills/panel-review"><img src="https://agentmods.dev/badge/skills/garethmanning/education-agent-skills/panel-review/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/garethmanning/education-agent-skills/panel-review"><img src="https://agentmods.dev/badge/skills/garethmanning/education-agent-skills/panel-review.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 | $0.00039 | $0.07721 |
| Opus 5.5 | $0.00016 | $0.03088 |
| Sonnet 5.5 | $0.00008 | $0.01544 |
| Haiku 4.5 | $0.00004 | $0.00772 |
Grade A, and why
panel-review 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 7d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 7d ago Changed · -139 lines · -10 tokens per session cbd87bf743f9
- 1mo ago First seen · 625 lines · 49 tokens per session scan A 2eb97761fb08
panel-review is a skill published in the GitHub repository GarethManning/education-agent-skills (928 stars, last pushed 7d ago), with no licence file. It adds 39 tokens to every session and 7,721 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
review-animations
Reviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy. Default to flagging; approval is earned.
ship-feature
End-to-end feature delivery — implement a feature, verify builds/tests pass, open a fully-filled draft PR, then automatically push every feedback round and review iteration to the same PR. Use when the user asks to implement or build a feature, fix-and-ship a change, or iterate on an existing feature PR.
edtech-expert
Expert in education technology, adaptive learning, student analytics, virtual classrooms, assessment tools, and learning management systems. Use when the user mentions education, e learning, lms, adaptive learning, student analytics, or virtual classroom, or when the task involves Learning Management Systems, Virtual…
grasp
Build a walkthrough the user works through until they can pass a quiz on it. Use when the user needs to understand something deeply and be quizzed on it.
pocket-education
Pocket Education — mentor mode where the human writes the code and the agent teaches, reviews, and guides with progressive hints, at a depth set by a persistent, skill-specific learner profile. Use when a repo has Pocket Education enabled, when someone wants to learn by doing a real task in this repository, or when…
explain-pr
Walk a user through a GitHub pull request to help them understand what it does, using markdown visualisations and a guided diff-by-diff tour. Use when the user wants to understand, explore, learn from, or be walked through a PR (not when they want a formal review).