What is session-note?

A session-documentation tool that saves the current coding work as a dated Markdown note. Markdown is a plain-text format commonly used for readable project notes.

Use it before pausing a project, switching tasks, or handing work to another session or person.

It preserves what changed, what remains unfinished, and where work stopped, so a later session can continue without reconstructing the context.

session-note — Skill for Claude Code and Codex by mir-am: A session-documentation tool that saves the current coding work…

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/mir-am/skills-agents-ai-coding/session-note

Any agent

npx skills add mir-am/skills-agents-ai-coding --skill session-note

Clone the repo

git clone --depth 1 https://github.com/mir-am/skills-agents-ai-coding

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/mir-am/skills-agents-ai-coding/session-note.svg)](https://agentmods.dev/skills/mir-am/skills-agents-ai-coding/session-note)

Your own site

<a href="https://agentmods.dev/skills/mir-am/skills-agents-ai-coding/session-note"><img src="https://agentmods.dev/badge/skills/mir-am/skills-agents-ai-coding/session-note.svg" alt="Measured on agentmods" height="20"></a>

Per session 13 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,047 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.

Model	Per session	Once invoked
Fable 5.1	$0.00013	$0.02047
Opus 5	$0.00006	$0.01024
Sonnet 5	$0.00003	$0.00409
Haiku 4.5	$0.00001	$0.00205

Measured 5d ago against content hash 796259afae4e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

session-note 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.

skills/session-note/SKILL.md · 271 lines

How it starts

The opening of the file, as written. The whole thing — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.

What I do

Create .opencode/notes/ directory if it doesn't exist
Generate timestamped markdown file: YYYY-MM-DD-HHmm-<description>.md
Document files changed with diffs (truncated with git reference for full diff)
Capture incomplete todos from TodoWrite if present
Provide 2-3 sentence summary of where the session left off
Multiple notes per session create new files with incremented timestamps

When to use me

Use this skill when:

User explicitly requests a session note
User wants to pause work and capture current state for later continuation
User needs to document progress before switching tasks/projects

Note Creation Workflow

Create directory: mkdir -p .opencode/notes
Generate filename:
- Extract main task from conversation context
- Format: YYYY-MM-DD-HHmm-<brief-description>.md
- Example: 2026-02-14-1630-add-csv-export.md
- Description: kebab-case, max 4-5 words from main task
- Fallback: work-session if task unclear
Gather context:
- Scan conversation for accomplished work
- Identify main goals and outcomes
Detect file changes:
- If git repo: git status --short
- Parse: M = modified, A/?? = created, D = deleted
- If not git: extract from conversation (files agent wrote/edited)
Get diffs:
- For modified files: git diff <file> (if git available)
- For new files: read first 20-30 lines or key sections
- Truncate large diffs (see diff handling below)
Extract todos:
- Check if TodoWrite was used in session
- Filter for status: pending or status: in_progress
- Format as markdown checklist
Write note with structure below
Confirm: Tell user the note location

Filename Generation

Pattern: YYYY-MM-DD-HHmm-<description>.md
Timestamp: date +%Y-%m-%d-%H%M
Description extraction:
- Scan conversation for primary task/goal
- Extract key verbs + objects: "add CSV export" → add-csv-export
- Sanitize: lowercase, spaces→hyphens, remove special chars
- Max 4-5 words, keep concise
Examples:
- 2026-02-14-1630-add-csv-export.md
- 2026-02-14-1845-fix-memory-leak.md
- 2026-02-14-2015-refactor-auth-module.md

Read the full file on GitHub · 271 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.

5d ago First seen · 271 lines · 13 tokens per session scan A 796259afae4e

Subscribe to this mod's changes

session-note is a skill published in the GitHub repository mir-am/skills-agents-ai-coding (2 stars, last pushed 4mo ago), licensed MIT. It adds 13 tokens to every session and 2,047 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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