skill-learn

A session-end guide for capturing durable improvements in a repository. It directs the agent to read the repository's learning instructions and suggest reusable updates.

In plain words
What is it for?
Use it when you ask what should be remembered after a session, such as updates to rules, skills, commands, agents, or recipes.
Why use it?
It helps turn useful lessons from a coding session into proposed changes to shared instructions, without changing files automatically.

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/bita71/agent-workflow-kit/skill-learn
Any agent
npx skills add Bita71/Agent-Workflow-Kit --skill skill-learn
Clone the repo
git clone --depth 1 https://github.com/Bita71/Agent-Workflow-Kit

Made for: Claude Code, Codex.

Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 74 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 $0.00022 $0.00074
Opus 5 $0.00011 $0.00037
Sonnet 5 $0.00004 $0.00015
Haiku 4.5 $0.00002 $0.00007

Measured yesterday against content hash e675e173bee3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skill-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 yesterday.

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.

.agents/skills/skill-learn/SKILL.md · 10 lines

What it actually says

Source of truth: docs/ai/commands/learn.md.

Read it and follow it exactly. Propose only durable, reusable improvements to rules/skills/commands/agents/recipes — do not apply them yourself.

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. yesterday First seen · 10 lines · 22 tokens per session scan A e675e173bee3

Subscribe to this mod's changes

skill-learn is a skill published in the GitHub repository Bita71/Agent-Workflow-Kit (1 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 74 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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