Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Andamio-Platform/coach/plugin install 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/assess-slts)<a href="https://agentmods.dev/skills/andamio-platform/coach/assess-slts"><img src="https://agentmods.dev/badge/skills/andamio-platform/coach/assess-slts/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/andamio-platform/coach/assess-slts"><img src="https://agentmods.dev/badge/skills/andamio-platform/coach/assess-slts.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 | $0.00017 | $0.01679 |
| Opus 5 | $0.00009 | $0.00839 |
| Sonnet 5 | $0.00003 | $0.00336 |
| Haiku 4.5 | $0.00002 | $0.00168 |
Grade A, and why
assess-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 9d 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Assess Student Learning Targets
Description
Evaluates the quality of a list of Student Learning Targets (SLTs) against established education research and Andamio protocol conventions. Provides per-SLT assessment and actionable suggestions for improvement.
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 assessing SLTs, read the knowledge base for patterns that should influence your assessment. 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/quality-issues.yaml- Flag SLTs matching known problematic patterns
- Include "seen in [n] courses" when citing issues
-
Read
knowledge/slt-patterns/successful-rewrites.yaml- When suggesting fixes, prefer proven rewrites
- Include "this rewrite worked in [course]" when applicable
-
Surface knowledge in assessment (if relevant patterns exist):
**Known Issue:** This pattern (task-focused verb) was flagged in 3 previous courses. **Proven Rewrite:** "I can complete the setup" → "I can configure my environment to run X" (from andamio-for-contributors)
The user will provide a markdown file containing a list of SLTs. Read the file, then assess each SLT against the criteria below. Always read knowledge/research/slt-research-report.md for full research context before running the assessment.
Assessment Criteria
Evaluate each SLT on the following dimensions, rating each as Strong, Acceptable, or Needs Work:
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.
- 9d ago First seen · 142 lines · 17 tokens per session scan A 6688482b69d8
assess-slts is a skill published in the GitHub repository Andamio-Platform/coach (6 stars, last pushed 1mo ago), licensed MIT. It adds 17 tokens to every session and 1,679 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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