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 commands/rtazima/claude-proj-blueprint/learngit clone --depth 1 https://github.com/rtazima/claude-proj-blueprintWrote 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/commands/rtazima/claude-proj-blueprint/learn)<a href="https://agentmods.dev/commands/rtazima/claude-proj-blueprint/learn"><img src="https://agentmods.dev/badge/commands/rtazima/claude-proj-blueprint/learn.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 5.1 | $0.00000 | $0.00245 |
| Opus 5 | $0.00000 | $0.00122 |
| Sonnet 5 | $0.00000 | $0.00049 |
| Haiku 4.5 | $0.00000 | $0.00024 |
Grade A, and why
learn 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 5d 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.
What it actually says
Analyze recent work and extract patterns to improve skills and conventions.
Arguments: $ARGUMENTS (optional flags, can combine): --since "2 weeks ago" Analyze commits since date (default: last 20 commits) --commits 20 Analyze last N commits --conversations 5 Mine last N Claude session transcripts for undocumented decisions
Workflow:
- Activate the
learnerskill - Analyze recent git history (commits, diffs, file changes)
- Compare patterns against existing skills in .claude/skills/
- Identify: skill gaps, skill improvements, convention drift, hook gaps
- If --conversations: also mine session transcripts from ~/.claude/projects/ for:
- Decisions made but not documented in ADRs
- Recurring corrections (human corrected agent 3+ times)
- Knowledge gaps the agent didn't have
- Workarounds that should be formalized as skills
- Write report to docs/architecture/learner-report-{date}.md
- Present summary and ask which suggestions to adopt
- If approved, apply changes to skills, CLAUDE.md, or hooks
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.
- 5d ago First seen · 21 lines · 0 tokens per session scan A 303aba1ecf71
learn is a command published in the GitHub repository rtazima/claude-proj-blueprint (20 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 245 tokens. 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.
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