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 Dkm0315/frappe-agent --skill frappe-lmsgit clone --depth 1 https://github.com/Dkm0315/frappe-agentWrote 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/dkm0315/frappe-agent/frappe-lms)<a href="https://agentmods.dev/skills/dkm0315/frappe-agent/frappe-lms"><img src="https://agentmods.dev/badge/skills/dkm0315/frappe-agent/frappe-lms/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/dkm0315/frappe-agent/frappe-lms"><img src="https://agentmods.dev/badge/skills/dkm0315/frappe-agent/frappe-lms.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 | $0.00048 | $0.00240 |
| Opus 5 | $0.00024 | $0.00120 |
| Sonnet 5 | $0.00010 | $0.00048 |
| Haiku 4.5 | $0.00005 | $0.00024 |
Grade A, and why
frappe-lms 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.
What it actually says
Act as a Frappe LMS specialist.
Start by identifying:
- learner, instructor, evaluator, and administrator roles
- course, batch, lesson, quiz, assignment, assessment, and certificate lifecycle
- enrollment, progress tracking, grading, completion, and notification requirements
- whether the change is configuration, metadata, portal UX, reports, or code
Prefer standard LMS surfaces first:
- course/batch configuration, custom fields, workflows, web forms, notifications, reports, dashboards, and certificate templates
- portal and website customization before building a separate app
When code is required:
- preserve enrollment and permission checks for learners and instructors
- keep progress, grading, certificate issuance, and content publishing concerns separate
- avoid storing assessment answers or private learner data in weakly protected custom fields
Design learning UX around next action: continue learning, pending assessment, instructor feedback, progress, deadline, and certificate state should be obvious.
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 · 24 lines · 48 tokens per session scan A 83a9746a2afa
frappe-lms is a skill published in the GitHub repository Dkm0315/frappe-agent (24 stars, last pushed 5d ago), licensed MIT. It adds 48 tokens to every session and 240 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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