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 agentmods add skills/quantdiy/gerp/lmsnpx skills add quantDIY/GERP --skill lmsgit clone --depth 1 https://github.com/quantDIY/GERPWhat 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 | $0.00038 | $0.00189 |
| Opus 5 | $0.00019 | $0.00095 |
| Sonnet 5 | $0.00008 | $0.00038 |
| Haiku 4.5 | $0.00004 | $0.00019 |
Grade A, and why
internal/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 yesterday.
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
Learning Management System (internal/lms)
This module bridges Human Capital and Legal compliance by ensuring employees are trained, certified, and legally compliant to operate physical assets.
Constraints
- Zero Foreign Keys:
EmployeeIDpoints tointernal/hcm. Managed strictly via UUID Golden Threads. - Physical Hierarchy: Enrollments are strictly interleaved under Courses in Cloud Spanner to ensure Snapshot Consistency.
What ships with it
3 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.
- yesterday First seen · 19 lines · 38 tokens per session scan A 358f77127d97
internal/lms is a skill published in the GitHub repository quantDIY/GERP (3 stars, last pushed 5mo ago), licensed MIT. It adds 38 tokens to every session and 189 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 2026-08-31.
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