learn

A project-memory tool for managing lessons learned across work sessions.

In plain words
What is it for?
Use it to view, search, prune, or export learnings, or to save something the project should remember.
Why use it?
It helps you find useful past notes, remove outdated ones, and keep recurring project knowledge from being forgotten.

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/sarthib7/agentsmith/learn
Any agent
npx skills add Sarthib7/agentsmith --skill learn
Clone the repo
git clone --depth 1 https://github.com/Sarthib7/agentsmith

Made for: Claude Code, Codex.

Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,879 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. Scan, not verified.
Origin unknown 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 $0.00077 $0.02879
Opus 5 $0.00039 $0.01439
Sonnet 5 $0.00015 $0.00576
Haiku 4.5 $0.00008 $0.00288

Measured 2d ago against content hash 5759f6e55ddc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

learn scanned grade B with 2 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 2d 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.

Sends data to an external URLmediumData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

[ -n "$_CONVEX_URL" ] && curl -s -X POST "$_CONVEX_URL/api/mutation" -H "Content-Type: application/json" -d '{"path":"telemetry:track","args":{"skill":"learn","phase":"idea","status":"success","version":"0.2.0","platform

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

[ -n "$_CONVEX_URL" ] && curl -s -X POST "$_CONVEX_URL/api/mutation" -H "Content-Type: application/json" -d '{"path":"telemetry:track","args":{"skill":"learn","phase":"idea","status":"success","version":"0.2.0","platform
skills/learn/SKILL.md · 315 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago First seen · 315 lines · 77 tokens per session scan B 5759f6e55ddc

Subscribe to this mod's changes

learn is a skill published in the GitHub repository Sarthib7/agentsmith (9 stars, last pushed 14d ago), with no licence file. It adds 77 tokens to every session and 2,879 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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