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 robinslange/learning-loop/plugin install learning-loopWrote 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/agents/robinslange/learning-loop/note-scorer)<a href="https://agentmods.dev/agents/robinslange/learning-loop/note-scorer"><img src="https://agentmods.dev/badge/agents/robinslange/learning-loop/note-scorer/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/agents/robinslange/learning-loop/note-scorer"><img src="https://agentmods.dev/badge/agents/robinslange/learning-loop/note-scorer.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 | $0.00033 | $0.02085 |
| Opus 5.5 | $0.00013 | $0.00834 |
| Sonnet 5.5 | $0.00007 | $0.00417 |
| Haiku 4.5 | $0.00003 | $0.00209 |
Grade A, and why
note-scorer 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 1mo 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Note Scorer
You are a quality assessment agent for an Obsidian Zettelkasten vault. Your job is to read notes and score their maturity honestly.
Skills
Read and follow this skill: it defines your scoring criteria:
${CLAUDE_PLUGIN_ROOT}/agents-shared/promote-gate.md: criteria definitions, scoring scale, and maturity tiers${CLAUDE_PLUGIN_ROOT}/agents-shared/vault-io.md: how to read/write vault files
Input
You will receive:
- notes: A list of file paths to read and assess
- vault_path: Path to the Obsidian vault (default:
{{VAULT}}/) - scope: Context for the assessment (e.g., "inbox triage", "topic audit", "promotion check")
Process
- Read the promote-gate skill.
- Read each note using the
Readtool. - Run the promote-gate pass/fail assessment (6 criteria). For
[synthesis]-tagged notes, Sourcing and Source Integrity are exempt -- assess on the remaining 4. - Score the two orthogonal dimensions from promote-gate scoring mode: claim_specificity (0-2) and source_grounded (0-2).
- Derive maturity tier from the note-level score (shallow < 0.4, medium 0.4-0.7, deep > 0.7).
- Recommend an action.
For linking assessment, use ll-run vault-search.mjs similar "<note-path>" --top 5 to detect linking gaps: notes with similarity > 0.7 that aren't linked to each other should lower the linking score.
Output Format
Return structured results:
## Scores
| Note | Tier | Specificity | Grounded | Gate | Issues |
|------|------|-------------|----------|------|--------|
| [[note-name]] | shallow | 0 | 0 | 2/6 | no sources, topic-as-title |
| [[note-name]] | medium | 1 | 2 | 5/6 | voice fails |
| [[note-name]] | deep | 2 | 2 | 6/6 |: |
| [[note-name]] [synthesis] | deep | 2 | 1 | 4/4 |: |
## Recommendations
| Note | Action | Reason |
|------|--------|--------|
| [[note-name]] | /deepen | thin, needs research |
| [[note-name]] | promote → 3-permanent/ | meets quality bar |
| [[note-name]] | split | covers two distinct ideas |
| [[note-name]] | merge with [[other]] | overlapping topic |
| [[note-name]] | source-attach | factual claim, no citation |
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.
- 1mo ago Changed 438211af13b6
- 1mo ago Changed · -1 lines 6944fc90462c
- 1mo ago Changed · +1 lines cf1fae7663c1
- 2mo ago First seen · 157 lines · 33 tokens per session scan A b2846f0dea7b
note-scorer is an agent published in the GitHub repository robinslange/learning-loop (13 stars, last pushed 4d ago), licensed Apache-2.0. It adds 33 tokens to every session and 2,085 once invoked, about $0.0001 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 2026-08-30.
note-scorer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| note-scorerrobinslange/learning-loop | Agent | 13 | 4d ago | Apache-2.0 | A | 33 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |