session-learn

session-learn is a skill for Claude Code, Codex from Mark393295827/third-brain-v7-skills. It costs 29 tokens per session (929 once invoked), scanned A, original, MIT.

A closing process that extracts reusable knowledge from a completed work session. It records concepts, corrections, decisions, patterns, gaps, and next actions while keeping their source traceable.

In plain words
What is it for?
Summarizing verified session outcomes, updating linked notes, removing duplicates, recording decisions and corrections, and assigning follow-up actions for unresolved gaps.
Why use it?
It turns useful lessons into durable notes without storing raw conversation filler or claiming that learning happened when the session evidence is missing.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Summarizing verified session outcomes, updating linked notes, removing duplicates, recording decisions and corrections, and assigning follow-up actions for unresolved gaps.

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Install with agentmods
npx agentmods add skills/mark393295827/third-brain-v7-skills/session-learn
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.

Any agent
npx skills add Mark393295827/third-brain-v7-skills --skill session-learn
Clone the repo
git clone --depth 1 https://github.com/Mark393295827/third-brain-v7-skills

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 session-learn

README.md
[![agentmods](https://agentmods.dev/badge/skills/mark393295827/third-brain-v7-skills/session-learn/github.svg)](https://agentmods.dev/skills/mark393295827/third-brain-v7-skills/session-learn)
Your own site
<a href="https://agentmods.dev/skills/mark393295827/third-brain-v7-skills/session-learn"><img src="https://agentmods.dev/badge/skills/mark393295827/third-brain-v7-skills/session-learn/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for session-learn

Your own site · 80×15
<a href="https://agentmods.dev/skills/mark393295827/third-brain-v7-skills/session-learn"><img src="https://agentmods.dev/badge/skills/mark393295827/third-brain-v7-skills/session-learn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 929 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00029 $0.00929
Opus 5 $0.00015 $0.00464
Sonnet 5 $0.00006 $0.00186
Haiku 4.5 $0.00003 $0.00093

Measured 9d ago against content hash 27fa4874572e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

session-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 9d 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.

skills/session-learn/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Session Learn

<skill_contract> Completed session objective, actions, artifacts, verification receipts, errors, decisions, and destination paths. Deduplicated durable deltas for concepts, entities, corrections, patterns, ideas, decisions, and gaps. Each retained delta is formatted, linked, logged, provenance-preserving, and paired with a traceable next action when unresolved. <non_goals>Automatic-capture claims without a hook, raw transcript storage, conversational filler, or immutable-source edits.</non_goals>

Close a session by extracting only reusable deltas. Invocation must be explicit or performed by a verified external hook; this skill never claims it ran automatically.

Usage Template

Provide: session objective, actions, outputs, verification receipts, errors, decisions, and destination paths. Optional: existing notes for deduplication.

Workflow

Establish the session boundary and compare intended versus observed result. Ignore conversational filler and separate execution evidence from retrospective interpretation.

<unknowns_gate>

If the session outcome or evidence is unavailable, return INSUFFICIENT_EVIDENCE. Ask for a missing artifact only when it determines whether a lesson is valid; otherwise preserve it as an unresolved gap.

</unknowns_gate>

Scan for seven signal types:

  1. Concept — a stable mechanism worth linking.
  2. Entity — a person, system, project, or tool requiring durable context.
  3. Correction — a prior belief or procedure disproved by evidence.
  4. Pattern — a reusable Trigger -> Execute -> Verify -> State sequence.
  5. Idea — an untested possibility, explicitly provisional.
  6. Decision — choice, rationale, alternatives, owner, and review condition.
  7. Gap — an unknown with a probe or escalation path.

Apply Closure Protocol: Format the smallest durable note, Link it to source/project/concepts, and Log the write plus verification. Merge semantic duplicates; preserve source immutability and provenance.

Read the full file on GitHub · 98 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. 9d ago First seen · 98 lines · 29 tokens per session scan A 27fa4874572e

Subscribe to this mod's changes

session-learn is a skill published in the GitHub repository Mark393295827/third-brain-v7-skills (138 stars, last pushed 18d ago), licensed MIT. It adds 29 tokens to every session and 929 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 2026-08-30.

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