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/andamio-platform/coach/draft-sltsnpx skills add Andamio-Platform/coach --skill draft-sltsgit clone --depth 1 https://github.com/Andamio-Platform/coachWrote 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/andamio-platform/coach/draft-slts)<a href="https://agentmods.dev/skills/andamio-platform/coach/draft-slts"><img src="https://agentmods.dev/badge/skills/andamio-platform/coach/draft-slts.svg" alt="Measured on agentmods" 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 | $0.00015 | $0.01430 |
| Opus 5 | $0.00008 | $0.00715 |
| Sonnet 5 | $0.00003 | $0.00286 |
| Haiku 4.5 | $0.00002 | $0.00143 |
Grade A, and why
draft-slts 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 4d 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 — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Draft Student Learning Targets
Description
Generates well-formed Student Learning Targets (SLTs) for a course or module based on topic, audience, and learning goals. Follows education research best practices and Andamio protocol conventions.
Instructions
Path Resolution
Resolve file paths based on your execution context:
- Plugin context (
${CLAUDE_PLUGIN_ROOT}is set): Read knowledge from${CLAUDE_PLUGIN_DATA}/knowledge/(user data), falling back to${CLAUDE_PLUGIN_ROOT}/knowledge/(seed data). Read research from${CLAUDE_PLUGIN_ROOT}/knowledge/research/. - Clone/symlink context (default): Read knowledge from
knowledge/relative to the project root (research is atknowledge/research/).
Pre-Execution Knowledge Check
Before drafting SLTs, read the knowledge base for patterns that should influence your work. If any knowledge file does not exist, skip it and proceed without prior patterns — note "No prior data available" in output.
-
Read
knowledge/slt-patterns/verb-bank.yaml- Note effective verbs by Bloom's level
- Prefer verbs with high success_count
-
Read
knowledge/slt-patterns/quality-issues.yaml- Note problematic patterns to avoid
- Especially avoid patterns with high frequency
-
Surface knowledge to user (if relevant patterns exist):
### Tips from Previous Courses **Effective verbs at this level:** compare, distinguish, implement (12 successes) **Patterns to avoid:** "understand X" (flagged 8 times), task-focused phrasing
The user will describe a course or module they want to create. Gather the following information (ask if not provided):
- Topic: What is the course/module about?
- Audience: Who are the learners? What's their background?
- Learning goals: What should learners be able to do after completing this?
- Module count: How many modules? (Default: 3-4)
- SLTs per module: How many SLTs per module? (Default: 2-4)
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.
- 4d ago First seen · 149 lines · 15 tokens per session scan A b794565ee418
draft-slts is a skill published in the GitHub repository Andamio-Platform/coach (6 stars, last pushed 1mo ago), licensed MIT. It adds 15 tokens to every session and 1,430 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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