learner

learner is a skill for Claude Code, Codex from rtazima/claude-proj-blueprint. It costs 51 tokens per session (1,396 once invoked), scanned A, original, MIT.

A read-only review workflow that studies completed work to find reusable patterns and improve a project's skills and conventions. It makes suggestions rather than applying changes automatically.

In plain words
What is it for?
Use it for retrospectives and session reviews, examining recent commits, files, skills, commands, and project instructions to suggest improvements supported by recurring evidence.
Why use it?
It helps turn repeated manual practices into documented guidance while avoiding changes based on isolated examples.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/rtazima/claude-proj-blueprint/learner
Any agent
npx skills add rtazima/claude-proj-blueprint --skill learner
Clone the repo
git clone --depth 1 https://github.com/rtazima/claude-proj-blueprint

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for learner

README.md
[![agentmods](https://agentmods.dev/badge/skills/rtazima/claude-proj-blueprint/learner.svg)](https://agentmods.dev/skills/rtazima/claude-proj-blueprint/learner)
Your own site
<a href="https://agentmods.dev/skills/rtazima/claude-proj-blueprint/learner"><img src="https://agentmods.dev/badge/skills/rtazima/claude-proj-blueprint/learner.svg" alt="Measured on agentmods" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,396 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00051 $0.01396
Opus 5 $0.00026 $0.00698
Sonnet 5 $0.00010 $0.00279
Haiku 4.5 $0.00005 $0.00140

Measured 5d ago against content hash cfbbfffea0e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

learner 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.

.claude/skills/learner/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Learner

Analyze completed work and extract patterns to improve existing skills, suggest new ones, and refine project conventions. This is a meta-skill: it makes other skills better.

Rules

  1. Read-only analysis first — understand patterns before suggesting changes
  2. Evidence-based — every suggestion must reference specific commits, files, or patterns
  3. Conservative — suggest changes, don't auto-apply. The human decides what to adopt
  4. Quality gate — only suggest patterns that appear 3+ times (not one-offs)
  5. Output to docs — write the report to docs/architecture/learner-report-{date}.md

Workflow

Phase 1: Gather data

  1. Run git log --oneline -N (N from args, default 20) to see recent commits
  2. Run git log --stat -N to see which files changed most
  3. Read the diffs of significant commits: git show --stat <sha>
  4. Read existing skills in .claude/skills/*/SKILL.md
  5. Read existing commands in .claude/commands/*.md
  6. Read CLAUDE.md for current conventions

Phase 2: Analyze patterns

Look for:

A. Skill gaps
  • Recurring manual steps that no skill covers
  • Patterns Claude keeps explaining/doing that could be codified
  • Workarounds or repeated code patterns across files
B. Skill improvements
  • Skill rules that were violated in practice (maybe they're wrong)
  • Skill checklists that are consistently skipped (maybe too strict)
  • Skill triggers that didn't fire when they should have (description needs updating)
  • Missing examples in skills that would have helped
C. Convention drift
  • CLAUDE.md rules that don't match actual practice
  • Commit message style drift from Conventional Commits
  • File naming patterns that evolved beyond what CLAUDE.md documents
D. Hook gaps
  • Errors that hooks should have caught but didn't
  • Repetitive manual checks that could be automated
  • New file types/patterns not covered by existing hooks

Phase 3: Report

Write a structured report:

# Learner Report — {date}

## Analyzed
- Commits: {N} (from {oldest_sha} to {newest_sha})
- Files changed: {count}
- Period: {date_range}

## Suggested new skills
### 1. [skill-name]
- **Pattern observed**: [what was done manually 3+ times]
- **Evidence**: commits {sha1}, {sha2}, {sha3}
- **Proposed trigger**: "[keywords]"
- **Proposed rules**: [list]

## Suggested skill improvements
### 1. [existing-skill-name]
- **Current rule**: [what the skill says]
- **Observed practice**: [what actually happened]
- **Suggestion**: [specific change]
- **Evidence**: [commits/files]

## Convention updates for CLAUDE.md
- [Specific addition or correction]

## Hook suggestions
- [New hook idea with trigger and behavior]

Read the full file on GitHub · 146 lines

Changes

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.

  1. 5d ago First seen · 146 lines · 51 tokens per session scan A cfbbfffea0e0

Subscribe to this mod's changes

learner is a skill published in the GitHub repository rtazima/claude-proj-blueprint (20 stars, last pushed 3mo ago), licensed MIT. It adds 51 tokens to every session and 1,396 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 2026-08-30.

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