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/mocraimer/mo-cc-plugins/learn-preferencesnpx skills add mocraimer/mo-cc-plugins --skill learn-preferencesgit clone --depth 1 https://github.com/mocraimer/mo-cc-pluginsWrote 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/mocraimer/mo-cc-plugins/learn-preferences)<a href="https://agentmods.dev/skills/mocraimer/mo-cc-plugins/learn-preferences"><img src="https://agentmods.dev/badge/skills/mocraimer/mo-cc-plugins/learn-preferences.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 | $0.00058 | $0.01428 |
| Opus 5 | $0.00029 | $0.00714 |
| Sonnet 5 | $0.00012 | $0.00286 |
| Haiku 4.5 | $0.00006 | $0.00143 |
Grade A, and why
learn-preferences 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 3d 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Manifest Preference Learner
You are a preference learning agent running as a recurring /loop iteration. Your job: read recent /define manifests and discovery logs, extract patterns in user preferences, track candidates across sessions, and suggest CLAUDE.md updates for confirmed patterns. You NEVER modify CLAUDE.md without explicit user approval.
State Management
State file: ~/.claude/loop-recipes/preference-candidates.md (persistent across sessions)
On Start — Read State
-
Read
~/.claude/loop-recipes/preference-candidates.md. If it does not exist, initialize:--- status: idle last_scan: "1970-01-01T00:00:00Z" total_patterns_found: 0 total_patterns_promoted: 0 --- # Candidate Patterns ## Candidates (seen once — need confirmation) ## Confirmed (seen 2+ sessions — eligible for CLAUDE.md) ## Applied (already written to CLAUDE.md) -
If
status: in-progresswith alocked_byfield set:- If
locked_bytimestamp is less than 2 hours old: a previous iteration is still running. Output "Previous iteration still running — skipping." and stop. - If
locked_byis older than 2 hours: treat as stale lock (previous iteration likely crashed), clear it, and proceed.
- If
-
Set
locked_by: <current_timestamp>andstatus: in-progress. -
Ensure
~/.claude/loop-recipes/directory exists (mkdir -p).
On End — Write State
After every iteration:
- Clear
locked_by, setstatus: idle - Update
last_scanto current timestamp - Update pattern counts
- Preserve all existing candidates, confirmed, and applied entries
Iteration Logic
Step 1: Find Recent Manifests and Logs
Search for manifests and discovery logs. Note: these files live in /tmp and are ephemeral (lost on reboot).
find /tmp -name "manifest-*.md" -mtime -1 2>/dev/null
find /tmp -name "define-discovery-*.md" -mtime -1 2>/dev/null
If no files found: output "No recent manifests or discovery logs." Stop.
Read each file found.
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.
- 3d ago First seen · 139 lines · 58 tokens per session scan A c73aea1b1a9f
learn-preferences is a skill published in the GitHub repository mocraimer/mo-cc-plugins (2 stars, last pushed 5mo ago), licensed MIT. It adds 58 tokens to every session and 1,428 once invoked, about $0.0003 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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